@article{SchieringEichstaedtHeizmannetal., author = {Schiering, Nadine and Eichst{\"a}dt, Sascha and Heizmann, Michael and Koch, Wolfgang and Schneider, Linda-Sophie and Scheele, Stephan and Sommer, Klaus-Dieter}, title = {Modelling of measuring systems - From white box models to cognitive approaches}, series = {Measurement: Sensors}, journal = {Measurement: Sensors}, publisher = {Elsevier BV}, issn = {2665-9174}, doi = {10.1016/j.measen.2024.101503}, abstract = {Mathematical models of measuring systems and processes play an essential role in metrology and practical measurements. They form the basis for understanding and evaluating measurements, their results and their trustworthiness. Classic analytical parametric modelling is based on largely complete knowledge of measurement technology and the measurement process. But due to digital transformation towards the Internet of Things (IIoT) with an increasing number of intensively and flexibly networked measurement systems and consequently ever larger amounts of data to be processed, data-based modelling approaches have gained enormous importance. This has led to new approaches in measurement technology and industry like Digital Twins, Self-X Approaches, Soft Sensor Technology and Data and Information Fusion. In the future, data-based modelling will be increasingly dominated by intelligent, cognitive systems. Evaluating of the accuracy, trustworthiness and the functional uncertainty of the corresponding models is required. This paper provides a concise overview of modelling in metrology from classical white box models to intelligent, cognitive data-driven solutions identifying advantages and limitations. Additionally, the approaches to merge trustworthiness and metrological uncertainty will be discussed.}, language = {en} } @inproceedings{AmlingScheeleSlanyetal., author = {Amling, Jonas and Scheele, Stephan and Slany, Emanuel and Lang, Moritz and Schmid, Ute}, title = {Explainable AI for Mixed Data Clustering}, series = {Explainable AI for Mixed Data Clustering:Second World Conference, xAI 2024, Valletta, Malta, July 17-19, 2024, Proceedings, Part II}, booktitle = {Explainable AI for Mixed Data Clustering:Second World Conference, xAI 2024, Valletta, Malta, July 17-19, 2024, Proceedings, Part II}, publisher = {Springer Nature Switzerland}, address = {Cham}, isbn = {9783031637964}, issn = {1865-0929}, doi = {10.1007/978-3-031-63797-1_3}, pages = {42 -- 62}, abstract = {Clustering, an unsupervised machine learning approach, aims to find groups of similar instances. Mixed data clustering is of particular interest since real-life data often consists of diverse data types. The unsupervised nature of clustering emphasizes the need to understand the criteria for defining and distinguishing clusters. Current explainable AI (XAI) methods for clustering focus on intrinsically explainable clustering techniques, surrogate model-based explanations utilizing established XAI frameworks, and explanations generated from inter-instance distances. However, there exists a research gap in developing post-hoc methods that directly explain clusterings without resorting to surrogate models or requiring prior knowledge about the clustering algorithm. Addressing this gap, our work introduces a model-agnostic, entropy-based Feature Importance Score for continuous and discrete data, offering direct and comprehensible explanations by highlighting key features, deriving rules, and identifying cluster prototypes. The comparison with existing XAI frameworks like SHAP and ClAMP shows that we achieve similar fidelity and simplicity, proving that mixed data clusterings can be effectively explained solely from the distributions of the features and assigned clusters, making complex clusterings comprehensible to humans.}, language = {en} } @inproceedings{WissingScholzSalomanetal., author = {Wissing, Julio and Scholz, Teresa and Saloman, Stefan and Fargueta, Lidia and Junger, Stephan and Stefani, Alessio and Tschekalinskij, Wladimir and Scheele, Stephan and Schmid, Ute}, title = {SPECTRE: A Dataset for Spectral Reconstruction on Chip-Size Spectrometers with a Physics-Informed Augmentation Method}, series = {2024 IEEE SENSORS, 20-23 October 2024, Kobe, Japan}, booktitle = {2024 IEEE SENSORS, 20-23 October 2024, Kobe, Japan}, publisher = {IEEE}, doi = {10.1109/SENSORS60989.2024.10784898}, pages = {1 -- 4}, abstract = {Reconstructing usable spectra from an array of optical filters has been central to miniature spectrometers for many years. However, as optical sensors become more suitable for low-cost applications by exploiting sub-par filter characteristics, creating high-quality reconstructions has become increasingly challenging. There has been growing interest in data-driven reconstruction methods within the scientific community to address this issue. The main obstacle to progress in this area is the lack of publicly available and comprehensive datasets for spectral reconstruction. In our research, we propose a physics-informed data augmentation technique to significantly increase the size of datasets for spectral reconstruction and make our augmented dataset, containing 10117 samples, publicly available. Furthermore, we demonstrate the potential performance improvements achieved by training complex neural networks for spectral reconstruction using the augmented dataset. Our short benchmark indicates a performance increase of up to four times over the baseline.}, language = {en} } @article{BeckDovernVogl, author = {Beck, Nico and Dovern, Jonas and Vogl, Stefanie}, title = {Mind the naive forecast! a rigorous evaluation of forecasting models for time series with low predictability}, series = {Applied Intelligence}, volume = {55}, journal = {Applied Intelligence}, number = {6}, publisher = {Springer}, doi = {10.1007/s10489-025-06268-w}, pages = {27}, abstract = {In the field of time series forecasting, numerous machine learning studies have assessed the performance of new methods on highly volatile data from macroeconomics and finance. Unlike in other domains, where models are also compared to simpler statistical or naive baselines, they mostly compare the performance solely relative to other complex models. This approach may lead to limited conclusions and reduce the practical significance of the results, as it overlooks the unpredictability of some highly volatile time series in the datasets used. We apply state-of-the-art methods from time-series econometrics and machine learning, including autoregressive integrated moving average (ARIMA), exponential smoothing (ETS), Bayesian vector autoregressive model (BVAR), long-short term memory neural networks (LSTM), historical consistent neural networks (HCNN), deep vector autoregressive neural networks (DeepVAR), temporal fusion transformers (TFT), and extreme gradient boosting (XGBoost). Our results demonstrate that no method consistently outperforms the naive (no-change) forecast for highly volatile time series from two popular datasets containing exchange rates and stock prices, rendering comparative analysis between complex models less meaningful. In contrast, when applied to more predictable macroeconomic price indices, many of the methods significantly outperform naive forecasts. We find that the performance of machine learning models deteriorates more than that of statistical models for high-volatility time series. This study highlights the critical importance of using appropriate benchmark models, including cost-effective, simple approaches, on datasets that permit meaningful conclusions.}, language = {en} } @inproceedings{SchenkeBaumann, author = {Schenke, Diana Marie and Baumann, Timo}, title = {Controlled Diversity: Length-optimized Natural Language Generation}, series = {Proceedings of the ISCA/ITG Workshop on Diversity in Large Speech and Language Models, February 20, 2025 in Berlin, Germany}, booktitle = {Proceedings of the ISCA/ITG Workshop on Diversity in Large Speech and Language Models, February 20, 2025 in Berlin, Germany}, editor = {M{\"o}ller, Sebastian and Knoeferle, Pia and Schulte, Britta and Feldhus, Nils}, doi = {10.48550/arXiv.2502.19347}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-80534}, pages = {8}, abstract = {LLMs are not generally able to adjust the length of their outputs based on strict length requirements, a capability that would improve their usefulness in applications that require adherence to diverse user and system requirements. We present an approach to train LLMs to acquire this capability by augmenting existing data and applying existing fine-tuning techniques, which we compare based on the trained models' adherence to the length requirement and overall response quality relative to the baseline model. Our results demonstrate that these techniques can be successfully applied to train LLMs to adhere to length requirements, with the trained models generating texts which better align to the length requirements. Our results indicate that our method may change the response quality when using training data that was not generated by the baseline model. This allows simultaneous alignment to another training objective in certain scenarios, but is undesirable otherwise. Training on a dataset containing the model's own responses eliminates this issue.}, language = {en} } @unpublished{AmanpourBaumannHofmann, author = {Amanpour, Ali and Baumann, Timo and Hofmann, Ulrich G.}, title = {Optimizing Neural Data Analysis: Determining Minimum Recording Length for Unambigous Signal Processing}, doi = {10.35096/othr/pub-8060}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-80606}, pages = {5}, abstract = {Advanced silicon electrode arrays facilitate the recording of thousands of neurons, generating extensive neural data that imposes a significant burden on researchers and processing algorithms. Thus, real-time analysis pipelines are gaining increasing value, while at the same time having to deal with non-stationary and noisy data. We intend to apply Machine Learning (ML) algorithms to a dense set of recordings from rat brains in order to prepare a functional atlas, correlating neuronal signals with anatomical position. While doing so, we needed to decide on a rational way which recording snippet length would best represent the original, longer source sequence and thus suffices to be further processed for anatomical correlation. We implemented an algorithm to evaluate the spectral information of systematically length varied records based on similarity to the original record. For our dataset a recording duration of 3 seconds satisfied moderate requirements across all channels, thus allowing us to reduce computational load for ongoing ML classification of microprobe sourced electrophysiologic signals.}, language = {en} } @incollection{BuchmannSchwaegerl, author = {Buchmann, Thomas and Schw{\"a}gerl, Felix}, title = {Advancing Negative Variability in Model-Driven Software Product Line Engineering}, series = {Communications in Computer and Information Science}, booktitle = {Communications in Computer and Information Science}, publisher = {Springer International Publishing}, address = {Cham}, isbn = {9783319563893}, issn = {1865-0929}, doi = {10.1007/978-3-319-56390-9_1}, pages = {1 -- 26}, abstract = {Model-driven software product line engineering aims at increasing the productivity of development of variational software. The principle of negative variability is realized by a multi-variant domain model, from which elements not needed for specific product variants are removed. The application of negative variability is impeded by two factors: First, metamodel restrictions lead to limited expressiveness of the multi-variant domain model. Second, unintended information loss may occur during product derivation. In this paper, we present two conceptual extensions to model-driven product line engineering based on negative variability, being alternative mappings and surrogates. Alternative mappings virtually extend the multi-variant domain model. Surrogates repair unintended information loss by context-sensitive analyses. Both extensions have been implemented in FAMILE, a model-driven product line tool that is based on EMF. Alternative mappings are defined in a dedicated mapping model. Surrogate rules may be defined in a declarative domain-specific language and are taken into account during product derivation. The added value of alternative mappings and surrogates is demonstrated by a running example, a UML-based graph library.}, language = {en} } @article{StrasserStrahringerWestner, author = {Strasser, Artur and Strahringer, Susanne and Westner, Markus}, title = {Determinants of success and failure of knowledge transfer in information systems offshoring}, series = {International Journal of Information Technology and Management}, volume = {22}, journal = {International Journal of Information Technology and Management}, number = {1/2}, publisher = {Inderscience}, issn = {1741-5179}, doi = {10.1504/IJITM.2023.10055151}, abstract = {The transfer of knowledge from client to service provider poses major challenges in information systems (IS) offshoring projects. Knowledge transfer directly affects IS offshoring success. Therefore, associated challenges must be overcome. Our study examines the determinants of success and failure of knowledge transfer in IS offshoring projects based on a ranking-type Delphi study. We questioned 32 experts from Germany, each with more than ten years of experience in near- or offshore initiatives to seek a consensus among them. We identified 19 success and 20 failure determinants. These determinants are ranked in order of importance using best-worst scaling. Aspects of closer cooperation are critical for effective knowledge transfer. This includes regular collaboration, willingness to help and support, and mutual trust. In contrast, critical determinants of failure are concerned with fears and fluctuation of human resources. Hidden ambiguities or knowledge gaps, an unwillingness and disability to share knowledge, and high fluctuation of human resources negatively impact knowledge transfer.}, language = {en} } @incollection{MoralesBaumannPerezetal., author = {Morales, Juan A. and Baumann, Timo and P{\´e}rez, Jos{\´e} L. and Peinado, Antonio M. and G{\´o}mez, {\´A}ngel M.}, title = {Implementaci{\`o}n de un reconocedor distribuido de voz en tiempo real sobre IP}, series = {Actas de las IV Jornadas en Tecnolog{\´i}as del Habla}, booktitle = {Actas de las IV Jornadas en Tecnolog{\´i}as del Habla}, abstract = {En este trabajo se presenta una implementaci{\´o}n de unsistema de reconocimiento distribuido del habla en tiem-po real para su aplicaci{\´o}n en un entorno de Internet. Desa-rrollado como una aplicaci{\´o}n cliente-servidor, el clien-te hace uso del front-end est{\´a}ndar definido por la ETSI.Incluye un detector de voz para s{\´o}lo enviar informaci{\´o}ncuando el locutor habla y la transmisi{\´o}n de la informaci{\´o}nse hace de acuerdo al RFC 3557. El servidor realiza el re-conocimiento utilizando programaci{\´o}n din{\´a}mica, incluyea su vez un detector de voz y utiliza la t{\´e}cnica de mitiga-ci{\´o}n de p{\´e}rdida de paquetes propuesta en el est{\´a}ndar de laETSI. La modularidad del dise{\~n}o permite la utilizaci{\´o}n decualquier otro reconocedor sin que por ello se vean afec-tados los clientes. Las pruebas reales de funcionamientopara la aplicaci{\´o}n particular desarrollada han demostradouna alta fiabilidad en varias condiciones de transmisi{\´o}n.}, language = {es} } @article{NigelGWardVegaBaumann, author = {Nigel G. Ward, and Vega, Alejandro and Baumann, Timo}, title = {Prosodic and Temporal Features for Language Modeling for Dialog}, series = {Speech Communication}, volume = {54}, journal = {Speech Communication}, number = {2}, publisher = {ELSEVIER}, doi = {10.1016/j.specom.2011.07.009}, pages = {161 -- 174}, abstract = {If we can model the cognitive and communicative processes underlying speech, we should be able to better predict what a speaker will do. With this idea as inspiration, we examine a number of prosodic and timing features as potential sources of information on what words the speaker is likely to say next. In spontaneous dialog we find that word probabilities do vary with such features. Using perplexity as the metric, the most informative of these included recent speaking rate, volume, and pitch, and time until end of utterance. Using simple combinations of such features to augment trigram language models gave up to a 8.4\% perplexity benefit on the Switchboard corpus, and up to a 1.0\% relative reduction in word error rate (0.3\% absolute) on the Verbmobil II corpus.}, language = {en} } @incollection{LohmannEichhornBaumann, author = {Lohmann, Kris and Eichhorn, Ole and Baumann, Timo}, title = {Generating Situated Assisting Utterances to Facilitate Tactile-Map Understanding: A Prototype System}, series = {Proceedings of the Third Workshop on Speech and Language Processing for Assistive Technologies (SLPAT), Montreal, Canada, June 7-8, 2012}, booktitle = {Proceedings of the Third Workshop on Speech and Language Processing for Assistive Technologies (SLPAT), Montreal, Canada, June 7-8, 2012}, publisher = {Association for Computational Linguistics}, pages = {56 -- 65}, abstract = {Tactile maps are important substitutes for visual maps for blind and visually impaired people and the efficiency of tactile-map reading can largely be improved by giving assisting utterances that make use of spatial language. In this paper, we elaborate earlier ideas for a system that generates such utterances and present a prototype implementation based on a semantic conceptualization of the movements that the map user performs. A worked example shows the plausibility of the solution and the output that the prototype generates given input derived from experimental data.}, language = {en} } @inproceedings{TerbrackClausHerrmann, author = {Terbrack, Hajo and Claus, Thorsten and Herrmann, Frank}, title = {Emission reduction through production scheduling by priority rules and energy onsite generation}, series = {Proceedings of the 36th ECMS International Conference on Modelling and Simulation (ECMS 2022), May 30th - June 3rd, 2022, {\AA}lesund, Norway}, booktitle = {Proceedings of the 36th ECMS International Conference on Modelling and Simulation (ECMS 2022), May 30th - June 3rd, 2022, {\AA}lesund, Norway}, publisher = {ECMS}, isbn = {978-3-937436-77-7}, issn = {2522-2414}, doi = {10.7148/2022-0114}, pages = {114 -- 120}, abstract = {This article describes primary findings of various simulation runs on job shop scheduling dealing with energy consumption and emission pollution. By two combinations of priority rules, production is linked to the generation output of a renewable energy source installed onsite. The resulting schedules show a reduction of energy-related emissions and makespan compared to several conventional priority rules often used in industrial practice.}, language = {en} } @article{KratzerWestnerStrahringer, author = {Kratzer, Simon and Westner, Markus and Strahringer, Susanne}, title = {Mehr als Vollzeit: Fractional CIOs in KMUs}, series = {HMD Praxis der Wirtschaftsinformatik}, journal = {HMD Praxis der Wirtschaftsinformatik}, publisher = {Springer}, issn = {2198-2775}, doi = {10.1365/s40702-023-01010-x}, pages = {23}, abstract = {Auch kleine und mittlere Unternehmen (KMUs) ben{\"o}tigen zunehmend ein effektives Informationstechnologie- (IT)-Management, um wettbewerbsf{\"a}hig zu bleiben. Im Vergleich zu großen Unternehmen verf{\"u}gen KMUs jedoch oft nicht {\"u}ber die Ressourcen, die Arbeitgeberattraktivit{\"a}t oder den Bedarf, um einen Chief Information Officer (CIO) in Vollzeit zu besch{\"a}ftigen. Um diese L{\"u}cke zu schließen, hat eine wachsende Zahl von Expertinnen und Experten weltweit damit begonnen, CIO-Dienste in Teilzeit anzubieten. Auf diese Weise erhalten KMUs Zugang zu erfahrenen und kompetenten IT-F{\"u}hrungskr{\"a}ften zu einem Bruchteil der Kosten und ohne langfristige Verpflichtungen. W{\"a}hrend diese so genannten „Fractional CIOs" in der Praxis bereits einen Mehrwert schaffen, gibt es noch kaum wissenschaftliche Untersuchungen zu diesem neuen Ph{\"a}nomen. In einem gr{\"o}ßeren Forschungsprojekt mit insgesamt 62 Fractional CIOs aus 10 L{\"a}ndern wurden daher eine Definition, Typen verschiedenartiger Engagements und Erfolgsfaktoren abgeleitet. Die vorliegende Studie fasst die Ergebnisse zusammen und setzt sie in Bezug zum deutschen Markt, indem sie drei Fractional CIOs/CTOs aus Deutschland befragt. Es zeigt sich, dass die folgenden vier Engagement-Typen von Fractional CIOs f{\"u}r KMUs in verschiedenen Situationen von Nutzen sind: Strategisches IT-Management, Restrukturierung, Skalierung und Hands-on Support. Dar{\"u}ber hinaus zeigt die Studie, dass Vertrauen, die Unterst{\"u}tzung durch das Top-Management-Team und die Integrit{\"a}t des Fractional CIOs Schl{\"u}sselfaktoren f{\"u}r den Erfolg von Fractional CIO-Engagements sind. F{\"u}r den deutschen Markt werden die Ergebnisse durch drei befragte Fractional CIOs/CTOs weitgehend best{\"a}tigt. Die Fractional CIOs/CTOs k{\"o}nnen zwar keine genauen Gr{\"u}nde f{\"u}r die geringe Akzeptanz der Rolle nennen, betonen aber ihr Wertpotenzial f{\"u}r den deutschen Markt.}, language = {de} } @inproceedings{HillebrandWestner, author = {Hillebrand, Patrick and Westner, Markus}, title = {Tenure and Background of CIOs in Germany - Influencing Factors and International Comparison}, series = {Proceedings of the of the 18th Conference on Computer Science and Intelligence Systems (FedCSIS 2023), Warsaw, Poland, 17-20 September, 2023}, booktitle = {Proceedings of the of the 18th Conference on Computer Science and Intelligence Systems (FedCSIS 2023), Warsaw, Poland, 17-20 September, 2023}, publisher = {Warsaw University of Technology}, doi = {10.15439/2023F5836}, pages = {557 -- 566}, abstract = {The average tenure of Chief Information Officers (CIOs) has increased over the past few years. Nevertheless, the average tenure of CIOs is shorter than that of Chief Executive Officers (CEOs). While most studies on tenure and background are based on data from US IT executives, studies on German CIOs are missing. This study analyzes the tenure of German CIOs as a proxy for management effectiveness and how certain factors influence it. An original and unique dataset of 384 IT executives from German companies is examined. The data include the size and industry sector of the companies, educational and professional backgrounds of the CIOs, and the CIOs' reporting lines. Data were analyzed using the chi-square test and Fisher's exact test. The German CIOs had a median tenure of 4.0 years. However, if we examine executives who are currently in office and executives with a completed term of office separately , the median tenure differs. The results also show that German CIOs do not have shorter tenures than German CEOs. When compared with US CIOs, the results depend on the values selected for comparison. In addition, the analysis shows that neither the size and industry sector of the companies nor the educational and professional backgrounds of the CIOs and managers of the CIO reports have a statistically significant influence on the tenure of IT executives. The factors examined in this study can be considered as preconditions for the CIO position. In the future, factors that play a role during tenure should be examined.}, language = {en} } @inproceedings{TrespUdluftHeinetal., author = {Tresp, Volker and Udluft, Steffen and Hein, Daniel and Hauptmann, Werner and Leib, Martin and Mutschler, Christopher and Scherer, Daniel D. and Mauerer, Wolfgang}, title = {Workshop Summary: Quantum Machine Learning}, series = {2023 IEEE International Conference on Quantum Computing and Engineering, Bellevue, WA, United States, September 17-22, 2023}, booktitle = {2023 IEEE International Conference on Quantum Computing and Engineering, Bellevue, WA, United States, September 17-22, 2023}, publisher = {IEEE}, doi = {10.1109/QCE57702.2023.10174}, language = {en} } @article{VoglLauxBialasetal., author = {Vogl, Stefanie and Laux, Patrick and Bialas, Joachim and Reifenberger, Christian}, title = {Modelling Precipitation Intensities from X-Band Radar Measurements Using Artificial Neural Networks—A Feasibility Study for the Bavarian Oberland Region}, series = {water}, volume = {14}, journal = {water}, number = {3}, publisher = {MDPI}, doi = {10.3390/w14030276}, pages = {1 -- 17}, abstract = {Radar data may potentially provide valuable information for precipitation quantification, especially in regions with a sparse network of in situ observations or in regions with complex topography. Therefore, our aim is to conduct a feasibility study to quantify precipitation intensities based on radar measurements and additional meteorological variables. Beyond the well-established Z-R relationship for the quantification, this study employs Artificial Neural Networks (ANNs) in different settings and analyses their performance. For this purpose, the radar data of a station in Upper Bavaria (Germany) is used and analysed for its performance in quantifying in situ observations. More specifically, the effects of time resolution, time offsets in the input data, and meteorological factors on the performance of the ANNs are investigated. It is found that ANNs that use actual reflectivity as only input are outperforming the standard Z-R relationship in reproducing ground precipitation. This is reflected by an increase in correlation between modelled and observed data from 0.67 (Z-R) to 0.78 (ANN) for hourly and 0.61 to 0.86, respectively, for 10 min time resolution. However, the focus of this study was to investigate if model accuracy benefits from additional input features. It is shown that an expansion of the input feature space by using time-lagged reflectivity with lags up to two and additional meteorological variables such as temperature, relative humidity, and sunshine duration significantly increases model performance. Thus, overall, it is shown that a systematic predictor screening and the correspondent extension of the input feature space substantially improves the performance of a simple Neural Network model. For instance, air temperature and relative humidity provide valuable additional input information. It is concluded that model performance is dependent on all three ingredients: time resolution, time lagged information, and additional meteorological input features. Taking all of these into account, the model performance can be optimized to a correlation of 0.9 and minimum model bias of 0.002 between observed and modelled precipitation data even with a simple ANN architecture.}, language = {en} } @article{PaulFigueroaCotorogeaMarinoVogl, author = {Paul Figueroa Cotorogea, B.S. and Marino, Giuseppe and Vogl, Stefanie}, title = {Data driven health monitoring of Peltier modules using machine-learning-methods}, series = {SLAS Technology}, volume = {27}, journal = {SLAS Technology}, number = {5}, publisher = {Elsevier}, issn = {2472-6303}, doi = {10.1016/j.slast.2022.07.002}, pages = {319 -- 326}, abstract = {Thermal cyclers are used to perform polymerase chain reaction runs (PCR runs) and Peltier modules are the key components in these instruments. The demand for thermal cyclers has strongly increased during the COVID-19 pandemic due to the fact that they are important tools used in the research, identification, and diagnosis of the virus. Even though Peltier modules are quite durable, their failure poses a serious threat to the integrity of the instrument, which can lead to plant shutdowns and sample loss. Therefore, it is highly desirable to be able to predict the state of health of Peltier modules and thus reduce downtime. In this paper methods from three sub-categories of supervised machine learning, namely classical methods, ensemble methods and convolutional neural networks, were compared with respect to their ability to detect the state of health of Peltier modules integrated in thermal cyclers. Device-specific data from on-deck thermal cyclers (ODTC®) supplied by INHECO Industrial Heating \& Cooling GmbH (Fig 1), Martinsried, Germany were used as a database for training the models. The purpose of this study was to investigate methods for data-driven condition monitoring with the aim of integrating predictive analytics into future product platforms. The results show that information about the state of health can be extracted from operational data - most importantly current readings - and that convolutional neural networks were the best at producing a generalized model for fault classification.}, language = {en} } @article{WinklerWestner, author = {Winkler, Fabian and Westner, Markus}, title = {A Systematic Literature Review of DevOps Success Factors and Adoption Models}, series = {SOICT '23: Proceedings of the 12th International Symposium on Information and Communication Technology. Ho Chi Minh City, Vietnam, 7-8 December 2023}, journal = {SOICT '23: Proceedings of the 12th International Symposium on Information and Communication Technology. Ho Chi Minh City, Vietnam, 7-8 December 2023}, publisher = {ACM}, isbn = {979-8-4007-0891-6}, doi = {10.1145/3628797.3628883}, pages = {525 -- 532}, abstract = {This paper investigates DevOps adoption, emphasizing its cultural dimensions in the context of the information systems domain. Utilizing a robust systematic literature review methodology, we discerned nine salient success factors and delineated three stage models instrumental for a smooth transition into DevOps-centric projects. Despite the increasing breadth of research in the DevOps area, the absence of a consolidated definition remains a challenge, underscoring the importance of a unified interpretative framework. This research notably extends the current body of knowledge by focusing on the cultural dynamics of DevOps adoption. As a result, it offers a refined lens through which both practitioners involved in the adoption process and academic researchers can comprehend the nuances and implications of cultural shifts in the evolving landscape of DevOps within information systems.}, language = {en} } @inproceedings{GogeisslSafiMauerer, author = {Gogeißl, Martin and Safi, Hila and Mauerer, Wolfgang}, title = {Quantum Data Encoding Patterns and their Consequences}, series = {Q-Data '24: Proceedings of the 1st Workshop on Quantum Computing and Quantum-Inspired Technology for Data-Intensive Systems and Applications, June 9 - 15, 2024, Santiago AA Chile}, booktitle = {Q-Data '24: Proceedings of the 1st Workshop on Quantum Computing and Quantum-Inspired Technology for Data-Intensive Systems and Applications, June 9 - 15, 2024, Santiago AA Chile}, publisher = {ACM}, isbn = {979-8-4007-0553-3}, doi = {10.1145/3665225.3665446}, pages = {27 -- 37}, abstract = {The use of quantum processing units (QPUs) promises speed-ups for solving computational problems, in particular for discrete optimisation. While a few groundbreaking algorithmic approaches are known that can provably outperform classical computers, we observe a scarcity of programming abstractions for constructing efficient quantum algorithms. A good fraction of the literature that addresses solving concrete problems related to database management concentrates on casting them as quadratic unconstrained binary optimisation problems (QUBOs), which can then, among others, be processed on gate-based machines (using the quantum approximate optimisation algorithm), or quantum annealers. A critical aspect that affects efficiency and scalability of either of these approaches is how classical data are loaded into qubits, respectively how problems are encoded into QUBO representation. The effectiveness of encodings is known to be of crucial importance for quantum computers, especially since the amount of available qubits is strongly limited in the era of noisy, intermediate-size quantum computers. In this paper, we present three encoding patterns, discuss their impact on scalability, and their ease of use. We consider the recreational (yet computationally challenging) Sudoku problem and its reduction to graph colouring as an illustrative example to discuss their individual benefits and disadvantages. Our aim is enable database researchers to choose an appropriate encoding scheme for their purpose without having to acquire in-depth knowledge on quantum peculiarities, thus easing the path towards applying quantum acceleration on data management systems.}, language = {en} } @unpublished{JungKrumkeSchrothetal., author = {Jung, Matthias and Krumke, Sven O. and Schroth, Christof and Lobe, Elisabeth and Mauerer, Wolfgang}, title = {QCEDA: Using Quantum Computers for EDA}, abstract = {The field of Electronic Design Automation (EDA) is crucial for microelectronics, but the increasing complexity of Integrated Circuits (ICs) poses challenges for conventional EDA: Corresponding problems are often NP-hard and are therefore in general solved by heuristics, not guaranteeing optimal solutions. Quantum computers may offer better solutions due to their potential for optimization through entanglement, superposition, and interference. Most of the works in the area of EDA and quantum computers focus on how to use EDA for building quantum circuits. However, almost no research focuses on exploiting quantum computers for solving EDA problems. Therefore, this paper investigates the feasibility and potential of quantum computing for a typical EDA optimization problem broken down to the Min-k-Union problem. The problem is mathematically transformed into a Quadratic Unconstrained Binary Optimization (QUBO) problem, which was successfully solved on an IBM quantum computer and a D-Wave quantum annealer.}, language = {en} } @incollection{Mauerer, author = {Mauerer, Wolfgang}, title = {Superoperators for Quantum Software Engineering}, series = {Quantum Software: Aspects of Theory and System Design}, booktitle = {Quantum Software: Aspects of Theory and System Design}, editor = {Exman, Iaakov and Perez-Castillo, Ricardo and Piattini, Mario and Felderer, Michael}, publisher = {Springer Nature}, issn = {978-3-031-64136-7}, doi = {10.1007/978-3-031-64136-7_3}, abstract = {As implementations of quantum computers grow in size and maturity, the question of how to program this new class of machines is attracting increasing attention in the software engineering domain. Yet, many questions from how to design expressible quantum languages augmented with formal semantics via implementing appropriate optimizing compilers to abstracting details of machine properties in software systems remain challenging. Performing research at this intersection of quantum computing and software engineering requires sufficient knowledge of the physical processes underlying quantum computations, and how to model these. In this chapter, we review a superoperator-based approach to quantum dynamics, as it can provide means that are sufficiently abstract, yet concrete enough to be useful in quantum software and systems engineering, and outline how it is used in several important applications in the field.}, language = {en} } @inproceedings{MuellerDannerBreidbachetal., author = {M{\"u}ller, Stefan and Danner, Christian and Breidbach, J{\"o}rg and Seidl, Markus and Hußlein, Thomas and Lauf, Wolfgang}, title = {Stochastic Modeling of Throughput Times of Supplier Parts for an Automotive Plant}, series = {Angewandte Forschung in der Wirtschaftsinformatik - Prozesse, Technologie, Anwendungen, Systeme und Management 2014: Tagungsband zur 27. AKWI-Jahrestagung vom 07. bis zum 10.09.2014 an der Oberbayerischen Technischen Hochschule Regensburg}, booktitle = {Angewandte Forschung in der Wirtschaftsinformatik - Prozesse, Technologie, Anwendungen, Systeme und Management 2014: Tagungsband zur 27. AKWI-Jahrestagung vom 07. bis zum 10.09.2014 an der Oberbayerischen Technischen Hochschule Regensburg}, publisher = {News \& Media}, isbn = {978-3-936527-38-4}, doi = {10.15771/978-3-936527-38-4}, pages = {35 -- 43 S}, abstract = {For modern production industries optimized supply of parts is a critical success factor. Especially in the automotive industry, the reliable supply of painted bodies for the fi nal assembly is essential for OEMs considering just in time or just in sequence processes. Additionally one central cost target is the avoidance of resorting for JIT/JIS processes. An essential workfl ow analysis is therefore the basis for making strategic or operational decisions such as the adjustment of the plant structure or increasing the number of products and variants manufactured simultaneously. In order to support strategic planning using simulation and planning systems, the modeling of the production process is required. This is particularly important for scheduling as no real manufacturing data is available and therefore prognosis based on the model are essential. Due to the short time and the limited human resources for a detailed modeling, it is essential to create a robust model with good accuracy and reduced complexity}, language = {en} } @inproceedings{FalterBrunkhWessetal., author = {Falter, Sandro and Brunkh, Gerald and Wess, Max and Fischer, Sebastian}, title = {Automated Vulnerability Scanner for the Cyber Resilience Act}, series = {CLOUD COMPUTING 2024 : The Fifteenth International Conference on Cloud Computing, GRIDs, and Virtualization, 15, 2024, Venice}, booktitle = {CLOUD COMPUTING 2024 : The Fifteenth International Conference on Cloud Computing, GRIDs, and Virtualization, 15, 2024, Venice}, publisher = {IARIA}, isbn = {978-1-68558-156-5}, pages = {13 -- 18}, abstract = {This paper explores the mitigation of the compliance burdens faced by manufacturers of digital products under the Cyber Resilience Act. After providing a concise overview of the Cyber Resilience Act and pinpointing pivotal areas where tool-based interventions could reduce the regulatory strain on manufacturers, we introduce two prototypes: a digital checklist for product classification and a prototype to streamline the analysis and monitoring of the security state of software along the software development life cycle. As the second prototype is based on Static Application Software Testing and Software Component Analysis, we validate the approach through benchmark tests. While Static Application Software Testing tools show promise in identifying vulnerabilities, additional tests are needed for full compliance with the Cyber Resilience Act. In general, the prototypes serve as an entry point for identifying possible automation potential to alleviate the compliance burdens of manufacturers.}, language = {en} } @inproceedings{BuchmannPeinlSchwaegerl, author = {Buchmann, Thomas and Peinl, Ren{\´e} and Schw{\"a}gerl, Felix}, title = {White-box LLM-supported Low-code Engineering: A Vision and First Insights}, series = {Proceedings of the ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems}, booktitle = {Proceedings of the ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems}, publisher = {ACM}, address = {New York, NY, USA}, doi = {10.1145/3652620.368780}, pages = {556 -- 560}, abstract = {Low-code development (LCD) platforms promise to empower citizen developers to define core domain models and rules for business applications. However, as domain rules grow complex, LCD platforms may fail to do so effectively. Generative AI, driven by large language models (LLMs), offers source code generation from natural language but suffers from its non-deterministic black-box nature and limited explainability. Therefore, rather than having LLMs generate entire applications from single prompts, we advocate for a white-box approach allowing citizen developers to specify domain models semi-formally, attaching constraints and operations as natural language annotations. These annotations are fed incrementally into an LLM contextualized with the generated application stub. This results in deterministic and better explainable generation of static application components, while offering citizen developers an appropriate level of abstraction. We report on a case study in manufacturing execution systems, where the implementation of the approach provides first insights.}, language = {en} } @unpublished{PagelVoglIsrael, author = {Pagel, Johannes and Vogl, Stefanie and Israel, Laura}, title = {Analyzing the Impact of Redaction on Document Classification Performance of Deep CNN Models}, publisher = {OSFPreprints}, doi = {10.31219/osf.io/sntb3}, abstract = {Many companies are facing growing data archives leading to an increasing focus on the automated classification of documents in corporate processes. Due to data protection guidelines, development with clear data is often difficult. One way to overcome this difficulty is to desensitize documents using document redaction. The following study, therefore, examines the impact of redaction on the document classification performance of a deep CNN model by analyzing how the classifica- tion performance deteriorates when the model is trained on unredacted documents and evaluated on redacted data (unredacted model) or trained on redacted data and applied to unredacted documents (redacted model). For the former condition, a loss in accuracy of 2.56\%P was found and a loss of 2.08\%P for the latter. We were also able to show that the loss in performance differed greatly between document classes and was influenced by their proportion of redacted area (unredacted model: r=0.31; redacted model: r=0.87). For the model trained with redacted and evaluated on unredacted data, we also determined that the decrease in classification accu- racy was affected by the intra-class variability of the redacted area (r=0.74). From these results, recommendations for dealing with redacted data in document classification systems are derived.}, language = {en} } @inproceedings{Heinz, author = {Heinz, Florian}, title = {Robust Interpolation of Arbitrary-Dimensional Moving Regions in Databases}, series = {Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data, October 29th, 2024, Atlanta, USA}, booktitle = {Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data, October 29th, 2024, Atlanta, USA}, publisher = {ACM}, address = {New York, NY, USA}, doi = {10.1145/3681769.3698579}, pages = {13 -- 21}, abstract = {Moving Objects Databases are designed to store, process and efficiently search for database objects with attributes that can change over time. Examples are moving points, that change position over time, or, as a more complex data type, moving regions that can also change shape. For moving regions to be practically usable, methods for creating those objects have to be provided. The prevailing method for 2-dimensional moving regions is to create an interpolation of two static regions. Since this is a non-trivial task, this is referred to as the "Region Interpolation Problem", which still can not be considered as solved, since several unsolved questions remain. This work strives to give an overview on the Region Interpolation Problem, discuss an extension to 3d and higher dimensions and to present and discuss solutions to address some of the remaining obstacles.}, language = {en} } @inproceedings{Heinz, author = {Heinz, Florian}, title = {Creating Moving Regions from Satellite Scan Data}, series = {SIGSPATIAL '24: Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, October 29 - November 1, 2024, Atlanta, GA, USA}, booktitle = {SIGSPATIAL '24: Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, October 29 - November 1, 2024, Atlanta, GA, USA}, publisher = {ACM}, address = {New York, NY, USA}, isbn = {979-8-4007-1107-7}, doi = {10.1145/3678717.3691214}, pages = {641 -- 644}, abstract = {Moving objects databases are specialized on storing and processing objects with spatial attributes that change over time. An important class of objects are moving regions that can change shape and position over time. Currently, the prevailing method for constructing moving regions is to interpolate them from snapshots. In this paper, an alternative method is proposed, that is better suitable for certain kinds of data as, for example, satellite scans of the earth surface. For instance, the NASA provides datasets with active fire data in near real-time from the Visible Infrared Imaging Radiometer Suite (VIIRS) sensor, attached to satellites as the Suomi NPP and NOAA-20. These satellites orbit earth about 14 times a day and provide full global coverage twice a day. Using these satellites, datasets are compiled that provide locations of active fires on earth as lists of positions and timestamps. This paper describes an alternative, better suitable method for creating moving regions from these lists, which can then be imported into and processed by moving objects databases.}, language = {en} } @inproceedings{SchlagerSchildgen, author = {Schlager, Reinhold and Schildgen, Johannes}, title = {A Query-Rewriting-based Implementation for Temporal Data Management}, series = {LWDA'24: Lernen, Wissen, Daten, Analysen. September 23-25, 2024, W{\"u}rzburg, Germany}, booktitle = {LWDA'24: Lernen, Wissen, Daten, Analysen. September 23-25, 2024, W{\"u}rzburg, Germany}, pages = {14 Seiten}, abstract = {Temporal data management is used to query historical data, identify trends and changes, and make forecasts for the future. This paper provides a query-rewriting approach to implement temporal data management in the data-warehouse system Exasol by using so-called preprocessor scripts. Preprocessor scripts allow for executing custom Lua code and modifying SQL commands. Our approach does not need to undertake additional manual effort by the user. History tables and associated views are created in the background. Data records are automatically archived if they are updated or deleted, and the SELECT command is extended with the AS OF SYSTEM TIME clause as proposed by the SQL Standard.}, language = {en} } @inproceedings{HassmannWestner, author = {Hassmann, Tobias and Westner, Markus}, title = {IS executives and sustainability}, series = {26th International Conference on Business Informatics (CBI), 09-13 September 2024, Vienna, Austria}, booktitle = {26th International Conference on Business Informatics (CBI), 09-13 September 2024, Vienna, Austria}, publisher = {IEEE}, isbn = {979-8-3315-2909-3}, issn = {2378-1971}, doi = {10.1109/CBI62504.2024.00017}, pages = {1-10}, abstract = {The pressing global sustainability challenges, encapsulated in the United Nations' Sustainable Development Goals (SDGs), require profound transformations across multiple levels. It is imperative for the Information Systems (IS) discipline to engage in addressing these challenges. This paper aims to contribute to this imperative through a scoping literature review, examining factors that enable IS executives to drive sustainability outcomes within organizations, utilizing the Input-Mediator-Outcome (IMO) framework. By analyzing 31 articles from important IS journals and conferences between 2008 and 2024, this review identifies key input factors for sustainability outcomes, such as individual IS executive inputs, the role of the Top Management Team (TMT) setting and organizational contexts, as well as external influences. In addition, it explores how team-specific processes can augment sustainability efforts. The paper concludes by proposing future research questions to address underrepresented SDGs, investigate external impact factors more thoroughly, and emphasize the role of individual IS executive inputs. These insights aspire to advance the understanding of IS executives' potential to influence sustainability in organizational settings.}, language = {en} } @article{HerrmannRiedlJanoschek, author = {Herrmann, Frank and Riedl, Nadine and Janoschek, Stefan}, title = {Konzeptionierung und Implementierung einer standardisierten RPA-Schnittstelle f{\"u}r eine Analytics-On-Demand-Self-Service-L{\"o}sung zur Bereitstellung von einkaufsbezogenen Daten in der Krones AG}, series = {Anwendungen und Konzepte der Wirtschaftsinformatik}, journal = {Anwendungen und Konzepte der Wirtschaftsinformatik}, number = {19}, publisher = {AKWI}, issn = {2296-4592}, doi = {10.26034/lu.akwi.2024.5510}, pages = {51 -- 63}, abstract = {Hohe Bearbeitungs- und Antwortzeiten von Tickets, die diverse Aufgaben aus dem Bereich Analytics inkludieren, f{\"u}hrten Corporate Procurement (CP) Processes and Systems zur Konzeptionierung und Implementierung einer standardisierten RPA-Schnittstelle, um einen Analytics-On-Demand-Self-Service zur Bereitstellung von einkaufsbezogenen Daten zu realisieren. Daf{\"u}r wurde zun{\"a}chst ein Anforderungskatalog erarbeitet, der als Basis f{\"u}r die Konzeptionierung und Implementierung aller zur Pr{\"u}fung der Funktionsf{\"a}higkeit der RPA-Schnittstelle erforderlichen Komponenten diente. Als Proof-of-Concept fungieren die Analytics-Use-Cases der Orderbuchabfrage und Abfrage von Einkaufsinfos{\"a}tzen mit Konditionen. Die durchgef{\"u}hrte Evaluation bescheinigt aus technischer und prozessualer Sicht den Erfolg des Projekts, wobei im Vordergrund die zuk{\"u}nftig nach Einf{\"u}hrung des Analytics-On-Demand-Self Service gewonnen zeitlichen Kapazit{\"a}ten und verringerten Wartezeiten bei den Mitarbeitenden des Einkaufs der Krones AG stehen.}, language = {de} } @article{EnglHerrmann, author = {Engl, Fabian and Herrmann, Frank}, title = {A Machine Learning based Approach on Employee Attrition Prediction with an Emphasize on predicting Leaving Reasons}, series = {Anwendungen und Konzepte der Wirtschaftsinformatik}, journal = {Anwendungen und Konzepte der Wirtschaftsinformatik}, number = {18}, publisher = {AKWI}, issn = {2296-4592}, doi = {10.26034/lu.akwi.2023.4488}, pages = {30 -- 40}, abstract = {Using Vitesco Technologies as an example, this article examines whether machine learning models are suitable for detecting employee attrition at an early stage, with the aim of uncovering underlying reasons for leaving. Nine different machine learning algorithms were examined: K-nearest-neighbors, Naive Bayes, logistic regression, a support vector machine, a neural network, a random forest, adaptive boosting, and two gradient boosting models. A three-way-holdout validation method was implemented to assess the quality of the results and measure both the f-score and the degree of model generalization. Initially, it was found that tree-based methods are best suited for classifying employees. A multiclass classification approach showed that under certain conditions it is even possible to predict the underlying leaving reasons.}, language = {en} } @article{HerrmannKerschbaum, author = {Herrmann, Frank and Kerschbaum, Andreas}, title = {Auswahl und Anwendung einer geeigneten Software zur standardisierten und automatisierten Berichterstellung im Service am Beispiel der Maschinenfabrik Reinhausen GmbH}, series = {Anwendungen und Konzepte der Wirtschaftsinformatik}, journal = {Anwendungen und Konzepte der Wirtschaftsinformatik}, number = {19}, publisher = {AKWI}, issn = {2296-4592}, doi = {10.26034/lu.akwi.2024.5946}, pages = {39 -- 50}, abstract = {Die Berichterstattung ist ein wichtiger Bestandteil der Aufgaben der MR. Aktuell fehlen zur Erledigung dieser Aufgabe festgelegte Standards, sowie ein Programm, das sich umfangreich f{\"u}r diese Aufgabenstellung eignet. Im Rahmen der vorliegenden Arbeit wird die Prozessstrecke des Prozesses zur Erstellung eines {\"O}lberichts aufgenommen und auf Schwachstellen untersucht. Anschließend erfolgt die Verbesserung der Schwachstellen durch die Einf{\"u}hrung einer neuen Software. Dise wird in einem phasenbasierten Prozess,in Anlehnung an das Phasenmodell zur Softwareauswahl nach Gronau, unter Einbezug festgelegter Kriterien sorgf{\"a}ltig ausgew{\"a}hlt. Das Ergebnis dieser Arbeit ist die Verbesserung des betrachteten Prozesses, sowie die Einf{\"u}hrung der Software DevExpress und die Erstellung eines ersten Entwurfsberichts welcher als Vorlage f{\"u}r die zuk{\"u}nftigen Berichte dient.}, language = {de} } @inproceedings{DilefeldClausTeich, author = {Dilefeld, Maximilian and Claus, Thorsten and Teich, Enrico}, title = {Robot Task Assignment In Dynamic Factory Environments}, series = {Proceedings of the 38th ECMS International Conference on Modeling and Simulation (ECMS 2024): June 4th - June 7th, 2024, Cracow, Poland}, booktitle = {Proceedings of the 38th ECMS International Conference on Modeling and Simulation (ECMS 2024): June 4th - June 7th, 2024, Cracow, Poland}, publisher = {ECMS}, isbn = {978-3-937436-84-5}, issn = {2522-2422}, doi = {10.7148/2024-0338}, pages = {338 -- 344}, abstract = {Automated Guided Vehicles (AGVs) and Autonomous Mobile Robots (AMRs) are being applied more and more frequently in a wide range of use cases. Following the general trend of decentralisation of control structure in the Industry 4.0 paradigm, this paper analyses the application of auction algorithms to solve the robot task assignment problem. We focus on the use of mobile robots in production environments with a high level of uncertainty which places hight demand on the flexibility of the online scheduling architecture. A sequential single-item (SSI) auction algorithm is validated for a real-world use case where multiple mobile robots supply car bodies to manual rework stations in a paint shop application using simulation. The optimization objective of such an algorithm is discussed in regards to the examined use case.}, language = {en} } @article{HerrmannJankerLaubmeier, author = {Herrmann, Frank and Janker, Sebastian and Laubmeier, Franz}, title = {Integration eines Support-Ticketsystems in die Prozesse des Gesch{\"a}ftsbereichs Informatik + Systeme}, series = {Anwendungen und Konzepte der Wirtschaftsinformatik}, journal = {Anwendungen und Konzepte der Wirtschaftsinformatik}, number = {20}, publisher = {AKWI}, issn = {2296-4592}, doi = {10.26034/lu.akwi.2024.6211}, pages = {67 -- 75}, abstract = {Eine effiziente Bearbeitung von Kundenanliegen und organisierte Hilfe zu einem digitalen Produkt sind f{\"u}r ein modernes Unternehmen wie die F.EE GmbH unabdingbar. Ein zentraler Bestandteil f{\"u}r ein Support-Team beim Bereitstellen dieser Dienstleistungen ist ein SupportTicketsystem mit Optionen zur Automatisierung von Arbeitsabl{\"a}ufen. Der Gesch{\"a}ftsbereich Informatik + Systeme des Unternehmens F.EE GmbH verwendet zurzeit ein Ticketsystem, das aufgrund eines endenden Supportzeitraums ersetzt werden muss. Ohne Supportunterst{\"u}tzung d{\"u}rften unter anderem Sicherheitsl{\"u}cken auftreten. Von den vielen am Markt verf{\"u}gbaren Systemen wurde das Open-Source-Ticketsystem ausgew{\"a}hlt. Zur effektiven Nutzung musste es signifikant erweitert werden.}, language = {de} } @unpublished{StragapedeVeraRodriguezTolosanaetal., author = {Stragapede, Giuseppe and Vera-Rodriguez, Ruben and Tolosana, Ruben and Morales, Aythami and DeAndres-Tame, Ivan and Damer, Naser and Fierrez, Julian and Ortega-Garcia, Javier and Acien, Alejandro and Gonz{\´a}lez, Nahuel and Shadrikov, Andrei and Gordin, Dmitrii and Schmitt, Leon and Wimmer, Daniel and Großmann, Christoph and Krieger, Joerdis and Heinz, Florian and Krestel, Ron and Mayer, Christoffer and Haberl, Simon and Gschrey, Helena and Yamagishi, Yosuke and Saha, Sanjay and Rasnayaka, Sanka and Wickramanayake, Sandareka and Sim, Terence and Gutfeter, Weronika and Baran, Adam and Krzyszton, Mateusz and Jask{\´o}ła, Przemysław}, title = {Kvc-Ongoing: Keystroke Verification Challenge}, doi = {10.2139/ssrn.4743934}, pages = {44}, abstract = {This article presents the Keystroke Verification Challenge - onGoing (KVC-onGoing), on which researchers can easily benchmark their systems in a common platform using large-scale public databases, the Aalto University Keystroke databases, and a standard experimental protocol. The keystroke data consist of tweet-long sequences of variable transcript text from over 185,000 subjects, acquired through desktop and mobile keyboards simulating real-life conditions. The results on the evaluation set of KVC-onGoing have proved the high discriminative power of keystroke dynamics, reaching values as low as 3.33\% of Equal Error Rate (EER) and 11.96\% of False Non-Match Rate (FNMR) @1\% False Match Rate (FMR) in the desktop scenario, and 3.61\% of EER and 17.44\% of FNMR @1\% at FMR in the mobile scenario, significantly improving previous state-of-the-art results. Concerning demographic fairness, the analyzed scores reflect the subjects' age and gender to various extents, not negligible in a few cases. The framework runs on CodaLab.}, language = {en} } @book{Herrmann, author = {Herrmann, Frank}, title = {Produktionsplanung}, publisher = {Springer Gabler}, address = {Wiesbaden}, isbn = {978-3-658-40218-1}, doi = {10.1007/978-3-658-40218-1}, pages = {341}, abstract = {Eine operative Produktionsplanung und -steuerung ist zentral f{\"u}r eine effektive und effiziente Produktion in Unternehmen und daher eine wesentliche Komponente von Enterprise Ressource Planning Systemen zur Regelung von Unternehmensprozessen. Die implementierten Verfahren sind integraler Bestandteil von Veranstaltungen zur Produktion und Logistik, zu Produktionsplanungs- und -steuerungsystemen, zum Supply Chain Management usw. in Bachelor- und Masterstudieng{\"a}ngen an Hochschulen und Universit{\"a}ten. Die Aufgaben in diesem {\"U}bungsbuch erg{\"a}nzen die in diesen Veranstaltungen und auch in den entsprechenden Standardlehrb{\"u}chern erl{\"a}uterten Verfahren durch sehr detaillierte L{\"o}sungen - {\"u}ber die angegebene Literatur d{\"u}rften diese sich im Selbststudium erarbeiten lassen. Die Wiederholungsfragen vertiefen das Verst{\"a}ndnis {\"u}ber den Einsatz dieser Verfahren, insbesondere in der industriellen Praxis. Aufgrund ihres Umfangs und ihres Schwierigkeitsgrads sind die Aufgaben und Fragenals Klausuraufgaben geeignet. Folglich wendet sich das Buch an Studierende (und mit Einschr{\"a}nkungen an Doktoranden) mit ausgepr{\"a}gtem Interesse an der L{\"o}sung von Produktionsplanungsproblemen. Ferner wendet es sich an Wissenschaftler und Experten in Unternehmen, die einen Eindruck von l{\"o}sbaren Produktionsplanungsproblemen gewinnen wollen.}, language = {de} } @inproceedings{HeinzKluge, author = {Heinz, Florian and Kluge, Martin}, title = {Design and Implementation of a High Performance Domain Name Service on Commodity Hardware}, series = {Service-Oriented Computing : 18th Symposium and Summer School, SummerSOC 2024, Crete, Greece, June 24-29, 2024, Revised Selected Papers}, booktitle = {Service-Oriented Computing : 18th Symposium and Summer School, SummerSOC 2024, Crete, Greece, June 24-29, 2024, Revised Selected Papers}, editor = {Aiello, Marco and Barzen, Johanna and Dustdar, Schahram and Leymann, Frank}, publisher = {Springer Nature}, address = {Cham}, isbn = {978-3-031-72577-7}, doi = {10.1007/978-3-031-72578-4_9}, pages = {162 -- 171}, abstract = {The internet Domain Name System (DNS) is one of the essential components of the World Wide Web and the whole internet. The core concept is a large distributed and hierarchical database that translates internet domain names into host addresses and other supplemental information. Name servers can serve millions of domains and usually have to answer thousands of requests per second. Because of their vital function for any internet service, domain name servers are regularly target of Denial-of-Service attacks, where millions of queries per second are used to overload the database system. This work describes an approach on how to achieve answer rates in this dimension with a single server built from low-cost commodity hardware.}, language = {en} } @inproceedings{DaiSchoenClausetal., author = {Dai, Chenghao and Sch{\"o}n, Maximilian and Claus, Thorsten and Herrmann, Frank}, title = {Multi-Site Aggregate Production Planning With Resilience Consideration}, series = {Proceedings of the 38th ECMS International Conference on Modeling and Simulation (ECMS 2024): June 4th - June 7th, 2024, Cracow, Poland}, booktitle = {Proceedings of the 38th ECMS International Conference on Modeling and Simulation (ECMS 2024): June 4th - June 7th, 2024, Cracow, Poland}, publisher = {ECMS}, isbn = {978-3-937436-84-5}, issn = {2522-2422}, doi = {10.7148/2024-0345}, pages = {345 -- 351}, abstract = {The recent years have shown a high frequency of disruptions like natural disasters or manmade disruptions, leading, for example, to transport routes or production facilities being unavailable for extended periods. Many manufacturing companies, which nowadays operate in a global production network, are heavily exposed to these disruptions. This results in both significant costs and substantial exceeding of promised deadlines. If it concerns the first company in a supply chain, it causes correspondingly significant delays in promised deadlines for subsequent companies in the supply chain, including a correspondingly significant increase in costs. Both are exemplified in this paper through a case study. This case study demonstrates that through resilience, both implications can be significantly reduced.}, language = {en} } @article{KratzerWestnerStrahringer, author = {Kratzer, Simon and Westner, Markus and Strahringer, Susanne}, title = {Factors for Fractional CIO Engagement Success}, series = {Information \& Management}, volume = {60}, journal = {Information \& Management}, publisher = {Elsevier}, issn = {0378-7206}, doi = {10.1016/j.im.2023.103793}, abstract = {As small- to medium-sized enterprises struggle with IT management, an increasing number appoint Fractional CIOs, i.e., CIOs that work part-time for multiple organizations simultaneously. We use Q-methodology to empirically evaluate the relative importance of factors for Fractional CIO engagement success and find that trust, top management team support, and the Fractional CIO's integrity are most important. Further, we identify three groups of Fractional CIOs: Strategic IT Advisors, Full-ownership CIOs, and Change Agents. Our results guide organizations when hiring and working with Fractional CIOs and provide the basis for further research on Fractional CIO archetypes.As small- to medium-sized enterprises struggle with IT management, an increasing number appoint Fractional CIOs, i.e., CIOs that work part-time for multiple organizations simultaneously. We use Q-methodology to empirically evaluate the relative importance of factors for Fractional CIO engagement success and find that trust, top management team support, and the Fractional CIO's integrity are most important. Further, we identify three groups of Fractional CIOs: Strategic IT Advisors, Full-ownership CIOs, and Change Agents. Our results guide organizations when hiring and working with Fractional CIOs and provide the basis for further research on Fractional CIO archetypes.}, language = {en} } @inproceedings{Baumann, author = {Baumann, Timo}, title = {Feedback in Adaptive Interactive Storytelling}, series = {13th annual conference of the International Speech Communication Association 2012 (INTERSPEECH 2012): Portland, Oregon, USA, 9 - 13 September 2012, Interdisciplinary Workshop on Feedback Behaviors in Dialog}, booktitle = {13th annual conference of the International Speech Communication Association 2012 (INTERSPEECH 2012): Portland, Oregon, USA, 9 - 13 September 2012, Interdisciplinary Workshop on Feedback Behaviors in Dialog}, address = {Stevenson, USA}, isbn = {978-1-62276-759-5}, abstract = {Telling stories is different from reading out text: a speakerreponds to the listener's feedback and incorporates thisinto the ongoing talk. However, current computer sys-tems are unable to do this and instead just non-attentivelyread out a text, disregarding all feedback (or the absencethereof). I propose and discuss an idea for a small researchproject and a plan for how an attentive listening storytellercan be built.}, language = {en} } @inproceedings{Baumann, author = {Baumann, Timo}, title = {Integrating Prosodic Modelling with Incremental Speech Recognition}, series = {Proceedings of DiaHolmia, the 13th International Workshop on the Semantics and Pragmatics of Dialogue (SEMDIAL 2009), 24-26 JUNE, 2009, Sttockhom, Sweden}, booktitle = {Proceedings of DiaHolmia, the 13th International Workshop on the Semantics and Pragmatics of Dialogue (SEMDIAL 2009), 24-26 JUNE, 2009, Sttockhom, Sweden}, publisher = {Royal Institute of Technology}, pages = {143 -- 144}, abstract = {We describe ongoing and proposed work concerning incremental prosody extraction and classification for a spoken dialogue system. The system described will be tightly integrated with the SDS's speech recogntion which also works incrementally. The proposed architecture should allow for more control over the user interaction experience, for example allowing more precise and timely end-of-utterance vs. hesitation distinction, and auditive or visual back-channel generation.}, language = {en} } @masterthesis{Baumann, type = {Bachelor Thesis}, author = {Baumann, Timo}, title = {Automatische Erkennung von Akzentuierungen und Phrasierungen in Sprachsynthesekorpora}, address = {Hamburg}, language = {de} } @inproceedings{SafiWinterspergerMauerer, author = {Safi, Hila and Wintersperger, Karen and Mauerer, Wolfgang}, title = {Influence of HW-SW-Co-Design on Quantum Computing Scalability}, series = {2023 IEEE International Conference on Quantum Software (QSW), Chicago, IL, USA, 02-08 July 2023}, booktitle = {2023 IEEE International Conference on Quantum Software (QSW), Chicago, IL, USA, 02-08 July 2023}, publisher = {IEEE}, isbn = {979-8-3503-0479-4}, doi = {10.1109/QSW59989.2023.00022}, pages = {104 -- 115}, abstract = {The use of quantum processing units (QPUs) promises speed-ups for solving computational problems. Yet, current devices are limited by the number of qubits and suffer from significant imperfections, which prevents achieving quantum advantage. To step towards practical utility, one approach is to apply hardware-software co-design methods. This can involve tailoring problem formulations and algorithms to the quantum execution environment, but also entails the possibility of adapting physical properties of the QPU to specific applications. In this work, we follow the latter path, and investigate how key figures— circuit depth and gate count—required to solve four cornerstone NP-complete problems vary with tailored hardware properties. Our results reveal that achieving near-optimal performance and properties does not necessarily require optimal quantum hardware, but can be satisfied with much simpler structures that can potentially be realised for many hardware approaches.m Using statistical analysis techniques, we additionally identify an underlying general model that applies to all subject problems. This suggests that our results may be universally applicable to other algorithms and problem domains, and tailored QPUs can find utility outside their initially envisaged problem domains. The substantial possible improvements nonetheless highlight the importance of QPU tailoring to progress towards practical deployment and scalability of quantum software.}, language = {en} } @article{WinterspergerDommertEhmeretal., author = {Wintersperger, Karen and Dommert, Florian and Ehmer, Thomas and Hoursanov, Andrey and Klepsch, Johannes and Mauerer, Wolfgang and Reuber, Georg and Strohm, Thomas and Yin, Ming and Luber, Sebastian}, title = {Neutral Atom Quantum Computing Hardware: Performance and End-User Perspective}, series = {EPJ Quantum Technology}, volume = {10}, journal = {EPJ Quantum Technology}, publisher = {Springer Nature}, doi = {10.1140/epjqt/s40507-023-00190-1}, pages = {27}, abstract = {We present an industrial end-user perspective on the current state of quantum computing hardware for one specific technological approach, the neutral atom platform. Our aim is to assist developers in understanding the impact of the specific properties of these devices on the effectiveness of algorithm execution. Based on discussions with different vendors and recent literature, we discuss the performance data of the neutral atom platform. Specifically, we focus on the physical qubit architecture, which affects state preparation, qubit-to-qubit connectivity, gate fidelities, native gate instruction set, and individual qubit stability. These factors determine both the quantum-part execution time and the end-to-end wall clock time relevant for end-users, but also the ability to perform fault-tolerant quantum computation in the future. We end with an overview of which applications have been shown to be well suited for the peculiar properties of neutral atom-based quantum computers.}, language = {en} } @inproceedings{GreiweKruegerMauerer, author = {Greiwe, Felix and Kr{\"u}ger, Tom and Mauerer, Wolfgang}, title = {Effects of Imperfections on Quantum Algorithms}, series = {2023 IEEE International Conference on Quantum Software (QSW), Chicago, IL, USA, 02-08 July 2023}, booktitle = {2023 IEEE International Conference on Quantum Software (QSW), Chicago, IL, USA, 02-08 July 2023}, publisher = {IEEE}, doi = {10.1109/QSW59989.2023.00014}, pages = {31 -- 42}, abstract = {Quantum computers promise considerable speedups over classical approaches, which has raised interest from many disciplines. Since any currently available implementations suffer from noise and imperfections, achieving concrete speedups for meaningful problem sizes remains a major challenge. Yet, imperfections and noise may remain present in quantum computing for a long while. Such limitations play no role in classical software computing, and software engineers are typically not well accustomed to considering such imperfections, albeit they substantially influence core properties of software and systems. In this paper, we show how to model imperfections with an approach tailored to (quantum) software engineers. We intuitively illustrate, using numerical simulations, how imperfections influence core properties of quantum algorithms on NISQ systems, and show possible options for tailoring future NISQ machines to improve system performance in a co-design approach. Our results are obtained from a software framework that we provide in form of an easy-to-use reproduction package. It does not require computer scientists to acquire deep physical knowledge on noise, yet provide tangible and intuitively accessible means of interpreting the influence of noise on common software quality and performance indicators.}, language = {en} } @incollection{YueMauererAlietal., author = {Yue, Tao and Mauerer, Wolfgang and Ali, Shaukat and Taibi, Davide}, title = {Challenges and Opportunities in Quantum Software Architecture}, series = {Software Architecture: Research Roadmaps from the Community}, booktitle = {Software Architecture: Research Roadmaps from the Community}, isbn = {978-3-031-36847-9}, doi = {10.1007/978-3-031-36847-9_1}, pages = {1 -- 23}, abstract = {Quantum computing is a relatively new paradigm that has raised considerable interest in physics and computer science in general but has so far received little attention in software engineering and architecture. Hybrid applications that consist of both quantum and classical components require the development of appropriate quantum software architectures. However, given that quantum software engineering (QSE) in general is a new research area, quantum software architecture-a subresearch area in QSE is also understudied. The goal of this chapter is to provide a list of research challenges and opportunities for such architectures. In addition, to make the content understandable to a broader computer science audience, we provide a brief overview of quantum computing and explain the essential technical foundations.}, language = {en} } @unpublished{GoeppelFrikelHaltmeier, author = {G{\"o}ppel, Simon and Frikel, J{\"u}rgen and Haltmeier, Markus}, title = {Translation invariant diagonal frame decomposition for the Radon transform}, abstract = {In this article, we address the challenge of solving the ill-posed reconstruction problem in computed tomography using a translation invariant diagonal frame decomposition (TIDFD). First, we review the concept of a TI-DFD for general linear operators and the corresponding filter-based regularization concept. We then introduce the TI-DFD for the Radon transform on L 2 (R 2) and provide an exemplary construction using the TI wavelet transform. Presented numerical results clearly demonstrate the benefits of our approach over non-translation invariant counterparts.}, language = {en} } @article{TrostClausHerrmann, author = {Trost, Marco and Claus, Thorsten and Herrmann, Frank}, title = {Master Production Scheduling with Consideration of Utilization-Dependent Exhaustion and Capacity Load}, series = {Sustainability}, volume = {15}, journal = {Sustainability}, publisher = {MDPI}, doi = {10.3390/su15086816}, pages = {1}, abstract = {A large number of researchers have addressed social aspects in hierarchical production planning. This article responds to research gaps identified in our previous literature review. Accordingly, consideration of social aspects and the economic implications of social improvements are required in a longer term planning approach. For this, we integrate work intensity as employee utilization in a general mixed-integer programming model for master production scheduling. Following existing fatigue functions, we represent the relationship between work intensity and exhaustion through an employee-utilization-dependent exhaustion function. We account for the economic implications through exhaustion-dependent capacity load factors. We solve our model with a CPLEX standard solver and analyze a case study based on a realistic production system and numerical data. We demonstrate that the consideration of economic implications is necessary to evaluate social improvements. Otherwise, monetary disadvantages are overestimated, and social improvements are, thus, negatively affected. Moreover, from a certain level of work-intensity reduction, demand peaks are smoothed more by pre-production, which requires more core employees, while temporary employment is reduced. Further potential may arise from considering and quantifying other interdependencies, such as employee exhaustion and employee days off. In addition, the relationship between social working conditions and employee turnover can be integrated.}, language = {en} } @inproceedings{SchildgenHeinz, author = {Schildgen, Johannes and Heinz, Florian}, title = {Interactive SQL Queries and Program Code in Presentations}, series = {Datenbanksysteme f{\"u}r Business, Technologie und Web (BTW2023), 06.-10. M{\"a}rz 2023, Dresden}, booktitle = {Datenbanksysteme f{\"u}r Business, Technologie und Web (BTW2023), 06.-10. M{\"a}rz 2023, Dresden}, publisher = {Gesellschaft f{\"u}r Informatik e.V.}, address = {Bonn}, isbn = {978-3-88579-725-8}, doi = {10.18420/BTW2023-39}, pages = {687 -- 693}, abstract = {Nowadays, most database lectures are performed with an accompanying visual presentation that further illustrates the conveyed facts. Conventional presentation software allows dynamic elements up to a certain level, for example revealing or changing parts of the slide step by step, or even an interaction with the viewers by means of polls or similar mechanisms. Recently, HTML-and browser-based frameworks for presentations have emerged, which allow an even higher degree of flexibility due to the manifold possibilities of HTML5 and JavaScript. This paper presents an approach of how to interactively modify parts of a slide during the presentation, like SQL-based queries or program code snippets, and show the results pretty-printed on the corresponding slide in real-time. This enables the lecturer to easily show more examples, and answer and illustrate side questions, which they did not prepare in advance.}, language = {en} } @article{BiersackLauf, author = {Biersack, Florian and Lauf, Wolfgang}, title = {Topological properties of quasiconformal automorphism groups}, series = {The Journal of Analysis}, journal = {The Journal of Analysis}, publisher = {Springer Nature}, issn = {0971-3611}, doi = {10.1007/s41478-023-00571-w}, abstract = {Let G⊊C be a bounded, simply connected domain in C, and denote by Q(G):={f:G⟶G | f is a quasiconformal mapping of G onto G } the quasiconformal automorphism group of G. In a canonical manner, the set Q(G) carries the structure of a (non-abelian) group with respect to composition of mappings. Moreover, we endow the set Q(G) with the topology of uniform convergence by the supremum metric dsup(f,g):=supz∈G|f(z)-g(z)|,f,g∈Q(G). In this paper, we present results concerning topological properties of Q(G) such as completeness, separability, path-connectedness, discreteness and compactness.}, language = {en} } @article{KratzerWestnerStrahringer, author = {Kratzer, Simon and Westner, Markus and Strahringer, Susanne}, title = {Four Decades of Chief Information Officer Research}, series = {ACM SIGMIS Database: the DATABASE for Advances in Information Systems}, volume = {54}, journal = {ACM SIGMIS Database: the DATABASE for Advances in Information Systems}, number = {3}, publisher = {ACM}, doi = {10.1145/3614178.3614182}, pages = {37 -- 74}, abstract = {Despite the relevance and maturity of the Chief Information Officer (CIO) research field, no studies exist that exhaustively summarize the current body of knowledge, focusing on the development of the field over its entire timespan. The paper at hand addresses this research gap and presents an exhaustive literature review on the CIO research field using main path analysis. We identify the central papers in CIO research and eight main research streams by quantitatively and qualitatively analyzing 466 papers. We find that established research streams, e.g., 'Evolving role of the CIO' and 'CIO hierarchical position and relationships' as well as recently emerging research streams, e.g., 'CIO as business enabler' and 'CIOs and IT security,' draw growing attention. Based on our findings, we develop promising further avenues for research in the CIO field.}, subject = {Informationsmanager}, language = {en} } @inproceedings{SchoenbergerTrummerMauerer, author = {Sch{\"o}nberger, Manuel and Trummer, Immanuel and Mauerer, Wolfgang}, title = {Quantum Optimisation of General Join Trees}, series = {Joint Workshops at 49th International Conference on Very Large Data Bases (VLDBW'23) — International Workshop on Quantum Data Science and Management (QDSM'23), August 28 - September 1, 2023, Vancouver, Canada (CEUR Workshop Proceedings)}, booktitle = {Joint Workshops at 49th International Conference on Very Large Data Bases (VLDBW'23) — International Workshop on Quantum Data Science and Management (QDSM'23), August 28 - September 1, 2023, Vancouver, Canada (CEUR Workshop Proceedings)}, publisher = {RWTH Aachen, Sun SITE Central Europe}, address = {Aachen}, pages = {1 -- 12}, abstract = {Recent advances in the manufacture of quantum computers attract much attention over a wide range of fields, as early-stage quantum processing units (QPU) have become accessible. While contemporary quantum machines are very limited in size and capabilities, mature QPUs are speculated to eventually excel at optimisation problems. This makes them an attractive technology for database problems, many of which are based on complex optimisation problems with large solution spaces. Yet, the use of quantum approaches on database problems remains largely unexplored. In this paper, we address the long-standing join ordering problem, one of the most extensively researched database problems. Rather than running arbitrary code, QPUs require specific mathematical problem encodings. An encoding for the join ordering problem was recently proposed, allowing first small-scale queries to be optimised on quantum hardware. However, it is based on a faithful transformation of a mixed integer linear programming (MILP) formulation for JO, and inherits all limitations of the MILP method. Most strikingly, the existing encoding only considers a solution space with left-deep join trees, which tend to yield larger costs than general, bushy join trees. We propose a novel QUBO encoding for the join ordering problem. Rather than transforming existing formulations, we construct a native encoding tailored to quantum systems, which allows us to process general bushy join trees. This makes the full potential of QPUs available for solving join order optimisation problems.}, language = {en} } @inproceedings{SchrollWestner, author = {Schroll, Jonas and Westner, Markus}, title = {Relation between Edge Computing and the Internet of Things}, series = {2023 Portland International Conference on Management of Engineering and Technology (PICMET), 23-27 July 2023, Monterrey, Mexico}, booktitle = {2023 Portland International Conference on Management of Engineering and Technology (PICMET), 23-27 July 2023, Monterrey, Mexico}, publisher = {IEEE}, doi = {10.23919/PICMET59654.2023.10216820}, pages = {1 -- 9}, abstract = {The Internet of Things (IoT) is an emerging computing paradigm providing new approaches to collect and analyze environmental data. However, as specific challenges arose, the paradigm of Edge Computing with its potential solution capabilities came into place. The combination of both paradigms is currently highly discussed in industry and research. This paper aims to contribute to this field by conducting a systematic literature review to examine the differences and relation between IoT and Edge Computing on a meta-level. It first investigates conceptual backgrounds, use cases, and implementation types. After that, the differences between the paradigms are highlighted. It becomes clear that the significant distinction is in the architectural composition. However, the scientific consensus reveals that both paradigms have a common historical background, and Edge Computing is perceived as the next step in the evolution of IoT. Furthermore, Edge Computing-based systems can address common IoT challenges identified in the two paradigms' problem-solution space. Ultimately, there is a need for further research in security, edge intelligence, and standardization, with Edge Computing frameworks able to address these in practice.}, language = {en} } @inproceedings{HillebrandWestner, author = {Hillebrand, Patrick and Westner, Markus}, title = {Lean IT}, series = {2023 Portland International Conference on Management of Engineering and Technology (PICMET), 23-27 July 2023, Monterrey, Mexico}, booktitle = {2023 Portland International Conference on Management of Engineering and Technology (PICMET), 23-27 July 2023, Monterrey, Mexico}, publisher = {IEEE}, doi = {10.23919/PICMET59654.2023.10216855}, pages = {1 -- 11}, abstract = {Companies have applied Lean Management and its methods in their production functions for several decades. They also increasingly use Lean Management to improve service delivery, for example, in their IT organizations, which is referred to as "Lean IT". Lean IT finds widespread recognition in business practice, but corresponding academic research is still scarce. The paper at hand intends to shed light on the current perspectives of Lean IT from an academic point and a practitioner point of view. The paper applies an innovative quantitative approach of literature analysis using semantic entity annotator and a keyword analysis to systematically identify and compare topics academics and practitioners deem relevant in context of Lean IT. We analyze practitioner media and scholarly articles published from January 2014 to June 2019. The analysis shows that research does not seem to adequately address the topics that are highly relevant for practitioners when it comes to Lean IT, e.g., issues pertinent to Automation, DevOps, role of the CIO, IT Service Management or Scrum in context of Lean IT are under-researched. Our analysis further shows that interest in Lean IT as a field is rising in both groups. Our study can help to guide further research activities.}, language = {en} }