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    <completedYear/>
    <publishedYear>2015</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1464</pageFirst>
    <pageLast>1467</pageLast>
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    <type>conferenceobject</type>
    <publisherName>IEEE</publisherName>
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    <title language="eng">ControVol: A framework for controlled schema evolution in NoSQL application development</title>
    <abstract language="eng">Building scalable web applications on top of NoSQL data stores is becoming common practice. Many of these data stores can easily be accessed programmatically, and do not enforce a schema. Software engineers can design the data model on the go, a flexibility that is crucial in agile software development. The typical tasks of database schema management are now handled within the application code, usually involving object mapper libraries. However, today’s Integrated Development Environments (IDEs) lack the proper tool support when it comes to managing the combined evolution of the application code and of the schema. Yet simple refactorings such as renaming an attribute at the source code level can cause irretrievable data loss or runtime errors once the application is serving in production. In this demo, we present ControVol, a framework for controlled schema evolution in application development against NoSQL data stores. ControVol is integrated into the IDE and statically type checks object mapper class declarations against the schema evolution history, as recorded by the code repository. ControVol is capable of warning of common yet risky cases of mismatched data and schema. ControVol is further able to suggest quick fixes by which developers can have these issues automatically resolved.</abstract>
    <parentTitle language="eng">2015 IEEE 31st International Conference on Data Engineering, 13-17 April 2015, Seoul, Korea (South)</parentTitle>
    <identifier type="doi">10.1109/ICDE.2015.7113402</identifier>
    <identifier type="isbn">978-1-4799-7964-6</identifier>
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    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Stefanie Scherzinger</author>
    <author>Thomas Cerqueus</author>
    <author>Eduardo Cunha de Almeida</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Databases</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Google</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>history</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Java</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Production</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Runtime</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Software</value>
    </subject>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="othforschungsschwerpunkt" number="16311">Digitalisierung</collection>
  </doc>
  <doc>
    <id>2700</id>
    <completedYear/>
    <publishedYear>2019</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>173</pageFirst>
    <pageLast>179</pageLast>
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    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>IEEE</publisherName>
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    <belongsToBibliography>0</belongsToBibliography>
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    <title language="eng">Towards Generating Consumer Labels for Machine Learning Models</title>
    <abstract language="eng">Machine learning (ML) based decision making is becoming commonplace. For persons affected by ML-based decisions, a certain level of transparency regarding the properties of the underlying ML model can be fundamental. In this vision paper, we propose to issue consumer labels for trained and published ML models. These labels primarily target machine learning lay persons, such as the operators of an ML system, the executors of decisions, and the decision subjects themselves. Provided that consumer labels comprehensively capture the characteristics of the trained ML model, consumers are enabled to recognize when human intelligence should supersede artificial intelligence. In the long run, we envision a service that generates these consumer labels (semi-)automatically. In this paper, we survey the requirements that an ML system should meet, and correspondingly, the properties that an ML consumer label could capture. We further discuss the feasibility of operationalizing and benchmarking these requirements in the automated generation of ML consumer labels.</abstract>
    <parentTitle language="eng">2019 IEEE First International Conference on Cognitive Machine Intelligence (CogMI), 12-14 Dec. 2019, Dallas, TX, USA</parentTitle>
    <identifier type="doi">10.1109/CogMI48466.2019.00033</identifier>
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    <enrichment key="BegutachtungStatus">peer-reviewed</enrichment>
    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Christin Seifert</author>
    <author>Stefanie Scherzinger</author>
    <author>Lena Wiese</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Artificial-intelligence-machine-learning-consumer-labels-transparency-x-AI</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Biological system modeling</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Data models</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Machine learning</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Measurement</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Predictive models</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Robustness</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Training</value>
    </subject>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="othforschungsschwerpunkt" number="16311">Digitalisierung</collection>
  </doc>
  <doc>
    <id>2762</id>
    <completedYear/>
    <publishedYear>2019</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1</pageFirst>
    <pageLast>6</pageLast>
    <pageNumber/>
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    <type>conferenceobject</type>
    <publisherName>ACM Press</publisherName>
    <publisherPlace>New York</publisherPlace>
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    <belongsToBibliography>0</belongsToBibliography>
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    <title language="eng">Unlocking the potential of nextGen multi-model databases for semantic big data projects</title>
    <abstract language="eng">A new vision in semantic big data processing is to create enterprise data hubs, with a 360° view on all data that matters to a corporation. As we discuss in this paper, a new generation of multi-model database systems seems a promising architectural choice for building such scalable, non-native triple stores. In this paper, we first characterize this new generation of multi-model databases. Then, discussing an example scenario, we show how they allow for agile and flexible schema management, spanning a large design space for creative and incremental data modelling. We identify the challenge of generating sound triple-views from data stored in several, interlinked models, for SPARQL querying. We regard this as one of several appealing research challenges where the semantic big data and the database architecture community may join forces.</abstract>
    <parentTitle language="eng">Proceedings of the International Workshop on Semantic Big Data - (SBD '19) 05.07.2019 - 05.07.2019, Amsterdam, Netherlands</parentTitle>
    <identifier type="isbn">9781450367660</identifier>
    <identifier type="doi">10.1145/3323878.3325807</identifier>
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    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Irena Holubová</author>
    <author>Stefanie Scherzinger</author>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="othforschungsschwerpunkt" number="16311">Digitalisierung</collection>
  </doc>
  <doc>
    <id>2770</id>
    <completedYear/>
    <publishedYear>2019</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>146</pageFirst>
    <pageLast>156</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>Springer International Publishing</publisherName>
    <publisherPlace>Cham</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
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    <title language="eng">On Complex Value Relations in Hive</title>
    <abstract language="eng">In this paper, we raise the question how data architects model their data for processing in Apache Hive. This well-known SQL-on-Hadoop engine supports complex value relations, where attribute types need not be atomic. In fact, this feature seems to be one of the prominent selling points, e.g., in Hive reference books. In an empirical study, we analyze Hive schemas in open source repositories. We examine to which extent practitioners make use of complex value relations and accordingly, whether they write queries over complex types. Understanding which features are actively used will help make the right decisions in setting up benchmarks for SQL-on-Hadoop engines, as well as in choosing which query operators to optimize for.</abstract>
    <parentTitle language="eng">Advances in Conceptual Modeling, ER 2020 workshops CMAI, CMLS, CMOMM4FAIR, CoMoNoS, EmpER, Vienna, Austria, November 3-6, 2020, Proceedings</parentTitle>
    <identifier type="isbn">978-3-030-34145-9</identifier>
    <identifier type="doi">10.1007/978-3-030-34146-6_13</identifier>
    <enrichment key="opus.import.date">2022-02-09T06:20:59+00:00</enrichment>
    <enrichment key="opus.source">sword</enrichment>
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    <enrichment key="OtherSeries">Lecture Notes in Computer Science ; 11787</enrichment>
    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Matthieu Pilven</author>
    <author>Stefanie Scherzinger</author>
    <author>Laurent d’Orazio</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Complex value relations</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Empirical study</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Hive</value>
    </subject>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="othforschungsschwerpunkt" number="16311">Digitalisierung</collection>
  </doc>
  <doc>
    <id>2769</id>
    <completedYear/>
    <publishedYear>2019</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>95</pageFirst>
    <pageLast>105</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume>11787</volume>
    <type>conferenceobject</type>
    <publisherName>Springer International Publishing</publisherName>
    <publisherPlace>Cham</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
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    <title language="eng">What Are Real JSON Schemas Like?</title>
    <abstract language="eng">Recently, the semantics of the JSON Schema format, a de-facto standard for JSON schema declarations, has been formalized. It turns out that JSON Schema is a surprisingly complex schema language based on an open document semantics. In this paper, we present a first empirical analysis of a curated collection of real-world JSON Schemas. Knowing what real JSON Schemas are like (to borrow from a title of a related study on DTDs) helps practitioners and researchers in making realistic assumptions when building tools for JSON Schema processing.</abstract>
    <parentTitle language="eng">Advances in Conceptual Modeling</parentTitle>
    <identifier type="isbn">978-3-030-34145-9</identifier>
    <identifier type="doi">10.1007/978-3-030-34146-6_9</identifier>
    <enrichment key="opus.import.date">2022-02-09T06:20:59+00:00</enrichment>
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    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Benjamin Maiwald</author>
    <author>Benjamin Riedle</author>
    <author>Stefanie Scherzinger</author>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="othforschungsschwerpunkt" number="16311">Digitalisierung</collection>
  </doc>
  <doc>
    <id>4733</id>
    <completedYear/>
    <publishedYear>2019</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>93</pageFirst>
    <pageLast>107</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
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    <type>conferenceobject</type>
    <publisherName>Springer</publisherName>
    <publisherPlace>Cham</publisherPlace>
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    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
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    <title language="eng">Don’t Tune Twice: Reusing Tuning Setups for SQL-on-Hadoop Queries</title>
    <abstract language="eng">SQL-on-Hadoop processing engines have become state-of-the-art in data lake analysis. However, the skills required to tune such systems are rare. This has inspired automated tuning advisors which profile the query workload and produce tuning setups for the low-level MapReduce jobs. Yet with highly dynamic query workloads, repeated re-tuning costs time and money in IaaS environments. In this paper, we focus on reducing the costs for up-front tuning. At the heart of our approach is the observation that a SQL query is compiled into a query plan of MapReduce jobs. While the plans differ from query to query, single jobs tend to be similar between queries. We introduce the notion of the code signature of a MapReduce job and, based on this, our concept of job similarity. We show that we can effectively recycle tuning setups from similar MapReduce jobs already profiled. In doing so, we can leverage any third-party tuning adviser for MapReduce engines. We are able to show that by recycling tuning setups, we can reduce the time spent on profiling by 50% in the TPC-H benchmark.</abstract>
    <parentTitle language="eng">Conceptual Modeling : 38th International Conference, ER 2019, Salvador, Brazil, November 4-7, 2019, Proceedings</parentTitle>
    <identifier type="doi">10.1007/978-3-030-33223-5_9</identifier>
    <enrichment key="opus.import.date">2022-07-06T16:27:45+00:00</enrichment>
    <enrichment key="opus.source">sword</enrichment>
    <enrichment key="opus.import.user">importuser</enrichment>
    <enrichment key="OtherSeries">Lecture Notes in Computer Science ; 11788</enrichment>
    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Edson Ramiro Lucas Filho</author>
    <author>Eduardo Cunha de Almeida</author>
    <author>Stefanie Scherzinger</author>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="othforschungsschwerpunkt" number="16311">Digitalisierung</collection>
  </doc>
  <doc>
    <id>4763</id>
    <completedYear/>
    <publishedYear>2013</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1</pageFirst>
    <pageLast>6</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>ACM</publisherName>
    <publisherPlace>New York, NY</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
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    <title language="eng">On the necessity of model checking NoSQL database schemas when building SaaS applications</title>
    <abstract language="eng">The design of the NoSQL schema has a direct impact on the scalability of web applications. Especially for developers with little experience in NoSQL stores, the risks inherent in poor schema design can be incalculable. Worse yet, the issues will only manifest once the application has been deployed, and the growing user base causes highly concurrent writes. In this paper, we present a model checking approach to reveal scalability bottlenecks in NoSQL schemas. Our approach draws on formal methods from tree automata theory to perform a conservative static analysis on both the schema and the expected write-behavior of users. We demonstrate the impact of schema-inherent bottlenecks for a popular NoSQL store, and show how concurrent writes can ultimately lead to a considerable share of failed transactions.</abstract>
    <parentTitle language="eng">Proceedings of the 2013 International Workshop on Testing the Cloud - TTC 2013</parentTitle>
    <identifier type="doi">10.1145/2489295.2489297</identifier>
    <enrichment key="opus.import.date">2022-07-06T16:27:45+00:00</enrichment>
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    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Stefanie Scherzinger</author>
    <author>Eduardo Cunha de Almeida</author>
    <author>Felipe Ickert</author>
    <author>Marcos Didonet Del Fabro</author>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="othforschungsschwerpunkt" number="16311">Digitalisierung</collection>
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  <doc>
    <id>5812</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1</pageFirst>
    <pageLast>4</pageLast>
    <pageNumber/>
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    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>ACM</publisherName>
    <publisherPlace>New York, NY, USA</publisherPlace>
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    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
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    <title language="eng">Beyond the badge: reproducibility engineering as a lifetime skill</title>
    <abstract language="eng">Ascertaining reproducibility of scientific experiments is receiving increased attention across disciplines. We argue that the necessary skills are important beyond pure scientific utility, and that they should be taught as part of software engineering (SWE) education. They serve a dual purpose: Apart from acquiring the coveted badges assigned to reproducible research, reproducibility engineering is a lifetime skill for a professional industrial career in computer science.&#13;
SWE curricula seem an ideal fit for conveying such capabilities, yet they require some extensions, especially given that even at flagship conferences like ICSE, only slightly more than one-third of the technical papers (at the 2021 edition) receive recognition for artefact reusability. Knowledge and capabilities in setting up engineering environments that allow for reproducing artefacts and results over decades (a standard requirement in many traditional engineering disciplines), writing semi-literate commit messages that document crucial steps of a decision-making process and that are tightly coupled with code, or sustainably taming dynamic, quickly changing software dependencies, to name a few: They all contribute to solving the scientific reproducibility crisis, and enable software engineers to build sustainable, long-term maintainable, software-intensive, industrial systems. We propose to teach these skills at the undergraduate level, on par with traditional SWE topics.</abstract>
    <parentTitle language="eng">Proceedings 4th International Workshop on Software Engineering Education for the Next Generation SEENG 2022, 17 May 2022, Pittsburgh, PA, USA</parentTitle>
    <identifier type="isbn">9781450393362</identifier>
    <identifier type="doi">10.1145/3528231.3528359</identifier>
    <note>Preprint unter: https://doi.org/10.48550/arXiv.2203.05283</note>
    <enrichment key="opus.import.date">2023-02-14T16:16:10+00:00</enrichment>
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    <enrichment key="BegutachtungStatus">peer-reviewed</enrichment>
    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Wolfgang Mauerer</author>
    <author>Stefan Klessinger</author>
    <author>Stefanie Scherzinger</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>reproducibility engineering</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>teaching software engineering</value>
    </subject>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="othforschungsschwerpunkt" number="16311">Digitalisierung</collection>
    <collection role="institutes" number="">Labor für Digitalisierung (LFD)</collection>
  </doc>
  <doc>
    <id>1386</id>
    <completedYear/>
    <publishedYear>2015</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>periodicalpart</type>
    <publisherName/>
    <publisherPlace>Regensburg</publisherPlace>
    <creatingCorporation>Ostbayerische Technische Hochschule Regensburg</creatingCorporation>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
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    <title language="deu">Forschungsbericht 2015</title>
    <identifier type="isbn">978-3-00-048589-3</identifier>
    <identifier type="urn">urn:nbn:de:bvb:898-opus4-13867</identifier>
    <identifier type="doi">10.35096/othr/pub-1386</identifier>
    <author>Georg Scharfenberg</author>
    <author>Jürgen Mottok</author>
    <author>Christina Artmann</author>
    <author>Martin Hobelsberger</author>
    <author>Ivan Paric</author>
    <author>Benjamin Großmann</author>
    <author>Clemens Pohlt</author>
    <author>Alena Wackerbarth</author>
    <author>Uli Pausch</author>
    <author>Christiane Heidrich</author>
    <author>Martin Fadanelli</author>
    <author>Michael Elsner</author>
    <author>Daniel Pöcher</author>
    <author>Lenz Pittroff</author>
    <author>Stefan Beer</author>
    <author>Oliver Brückl</author>
    <author>Matthias Haslbeck</author>
    <author>Michael Sterner</author>
    <author>Martin Thema</author>
    <author>Nicole Muggenthaler</author>
    <author>Thorsten Lenck</author>
    <author>Philipp Götz</author>
    <author>Fabian Eckert</author>
    <author>Michael Deubzer</author>
    <author>Armin Stingl</author>
    <author>Erol Simsek</author>
    <author>Stefan Krämer</author>
    <author>Benjamin Großmann</author>
    <author>Thomas Schlegl</author>
    <author>Sascha Niedersteiner</author>
    <author>Thomas Berlehner</author>
    <author>Mitchell Joblin</author>
    <author>Wolfgang Mauerer</author>
    <author>Sven Apel</author>
    <author>Janet Siegmund</author>
    <author>Dirk Riehle</author>
    <author>Joachim Weber</author>
    <author>Christoph Palm</author>
    <author>Martin Zobel</author>
    <author>Ghassan Al-Falouji</author>
    <author>Dietmar Prestel</author>
    <author>Georg Scharfenberg</author>
    <author>Roland Mandl</author>
    <author>Arnulf Deinzer</author>
    <author>W. Halang</author>
    <author>Jutta Margraf-Stiksrud</author>
    <author>Bernhard Sick</author>
    <author>Renate Deinzer</author>
    <author>Stefanie Scherzinger</author>
    <author>Meike Klettke</author>
    <author>Uta Störl</author>
    <author>Katharina Wiech</author>
    <author>Christoph Kubata</author>
    <author>Dirk Sindersberger</author>
    <author>Gareth J. Monkman</author>
    <author>Markus Dollinger</author>
    <author>Sven Dembianny</author>
    <author>Andreas Kölbl</author>
    <author>Franz Welker</author>
    <author>Matthias Meier</author>
    <author>Philipp Thumann</author>
    <author>Krzysztof Swidergal</author>
    <author>Marcus Wagner</author>
    <author>Sonja Haug</author>
    <author>Matthias Vernim</author>
    <author>Barbara Seidenstücker</author>
    <author>Karsten Weber</author>
    <author>Christian Arsan</author>
    <author>Reinhold Schone</author>
    <author>Johannes Münder</author>
    <author>Irmgard Schroll-Decker</author>
    <author>Andrea Elisabeth Dillinger</author>
    <author>Rudolf Fuchshofer</author>
    <author>Gareth J. Monkman</author>
    <author>Mikhail Shamonin (Chamonine)</author>
    <author>Markus A. Geith</author>
    <author>Fabian Koch</author>
    <author>Christian Ühlin</author>
    <author>Thomas Schratzenstaller</author>
    <author>Sean Patrick Saßmannshausen</author>
    <author>Eberhard Auchter</author>
    <author>Willy Kriz</author>
    <author>Othmar Springer</author>
    <author>Maria Thumann</author>
    <author>Wolfgang Kusterle</author>
    <author>Andreas Obermeier</author>
    <author>Anton Udalzow</author>
    <author>Anton Schmailzl</author>
    <author>Stefan Hierl</author>
    <author>Christoph Langer</author>
    <author>Rupert Schreiner</author>
    <series>
      <title>Forschungsberichte der OTH Regensburg</title>
      <number>2015</number>
    </series>
    <collection role="institutes" number="HL">Hochschulleitung/Hochschulverwaltung</collection>
    <collection role="othpublikationsherkunft" number="">Von der OTH Regensburg herausgegeben</collection>
    <collection role="persons" number="weberlate">Weber, Karsten (Prof. Dr.) - Labor für Technikfolgenabschätzung und Angewandte Ethik</collection>
    <collection role="institutes" number="IAFW">Zentrum für Forschung und Transfer (ZFT ab 2024; vorher: IAFW)</collection>
    <collection role="persons" number="sternerfenes">Sterner, Michael (Prof. Dr.) - FENES / Forschungsgruppe Energiespeicher</collection>
    <collection role="persons" number="bruecklfenes">Brückl, Oliver (Prof. Dr.) - FENES / Forschungsgruppe Energienetze</collection>
    <collection role="persons" number="hauglasofo">Haug, Sonja (Prof. Dr.) - Labor Empirische Sozialforschung</collection>
    <thesisPublisher>Ostbayerische Technische Hochschule Regensburg</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-oth-regensburg/files/1386/Forschungsbericht_2015.pdf</file>
  </doc>
  <doc>
    <id>799</id>
    <completedYear/>
    <publishedYear>2014</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>80</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <type>periodicalpart</type>
    <publisherName/>
    <publisherPlace>Regensburg</publisherPlace>
    <creatingCorporation>Ostbayerische Technische Hochschule Regensburg</creatingCorporation>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Forschungsbericht 2013</title>
    <identifier type="urn">urn:nbn:de:bvb:898-opus4-7990</identifier>
    <identifier type="doi">10.35096/othr/pub-799</identifier>
    <author>Josef Beimler</author>
    <author>Caroline Leißl</author>
    <author>Lena Ebner</author>
    <author>Michael Elsner</author>
    <author>Gerhard Mühlbauer</author>
    <author>Dieter Kohlert</author>
    <author>Martin J. W. Schubert</author>
    <author>Andreas P. Weiß</author>
    <author>Michael Sterner</author>
    <author>Thomas Raith</author>
    <author>Martin Afranseder</author>
    <author>Tobias Krapf</author>
    <author>Jürgen Mottok</author>
    <author>Christian Siemers</author>
    <author>Benjamin Großmann</author>
    <author>Johannes Höcherl</author>
    <author>Thomas Schlegl</author>
    <author>Ralph Schneider</author>
    <author>Johannes Milaev</author>
    <author>Christina Rampelt</author>
    <author>Christian Roduner</author>
    <author>Christoph Glowa</author>
    <author>Christoph Bachl</author>
    <author>Claus Schliekmann</author>
    <author>Alfons Gnan</author>
    <author>Martin Grill</author>
    <author>Karl Ruhland</author>
    <author>Thomas Piehler</author>
    <author>Daniel Friers</author>
    <author>Harald Wels</author>
    <author>Kenny Pflug</author>
    <author>Markus Kucera</author>
    <author>Thomas Waas</author>
    <author>Felix Schlachetzki</author>
    <author>Sandra Boy</author>
    <author>Josef Pemmerl</author>
    <author>Alexander Leis</author>
    <author>Andreas F.X. Welsch</author>
    <author>Franz Graf</author>
    <author>Gerhard Zenger</author>
    <author>Klaus Volbert</author>
    <author>Thomas Waas</author>
    <author>Stefanie Scherzinger</author>
    <author>Meike Klettke</author>
    <author>Uta Störl</author>
    <author>C. Heyl</author>
    <author>A. Boldenko</author>
    <author>Gareth J. Monkman</author>
    <author>Richard Kujat</author>
    <author>Ulrich Briem</author>
    <author>Stefan Hierl</author>
    <author>Sebastian Talbot</author>
    <author>Anton Schmailzl</author>
    <author>Robert Damian Ławrowski</author>
    <author>Christian Prommesberger</author>
    <author>Christoph Langer</author>
    <author>Florian Dams</author>
    <author>Rupert Schreiner</author>
    <author>Piergiorgio Valentino</author>
    <author>Marco Romano</author>
    <author>Ingo Ehrlich</author>
    <author>Franco Furgiuele</author>
    <author>Norbert Gebbeken</author>
    <author>Michael Eisenried</author>
    <author>Bastian Jungbauer</author>
    <author>Albert Hutterer</author>
    <author>Michael Bauhuber</author>
    <author>Andreas Mikrievskij</author>
    <author>Monika Argauer</author>
    <author>Helmut Hummel</author>
    <author>Alfred Lechner</author>
    <author>Thomas Liebetruth</author>
    <author>Michael Schumm</author>
    <author>Saskia Joseph</author>
    <author>Michael Reschke</author>
    <author>Alexander Soska</author>
    <author>Irmgard Schroll-Decker</author>
    <author>Michael Putzer</author>
    <author>John Rasmussen</author>
    <author>Sebastian Dendorfer</author>
    <author>Tim Weber</author>
    <author>Amir Andreas Al-Munajjed</author>
    <author>Gijsbertus Jacob Verkerke</author>
    <author>Tobias Renkawitz</author>
    <author>Sonja Haug</author>
    <author>Clarissa Rudolph</author>
    <author>Annika Zeitler</author>
    <author>Simon Schaubeck</author>
    <author>Oliver Steffens</author>
    <author>Christian Rechenauer</author>
    <author>Thekla Schulz-Brize</author>
    <author>Florian Fleischmann</author>
    <author>Wolfgang Kusterle</author>
    <author>Anne Beer</author>
    <author>Bernd Wagner</author>
    <author>Thomas Neidhart</author>
    <series>
      <title>Forschungsberichte der OTH Regensburg</title>
      <number>2013</number>
    </series>
    <collection role="institutes" number="HL">Hochschulleitung/Hochschulverwaltung</collection>
    <collection role="othpublikationsherkunft" number="">Von der OTH Regensburg herausgegeben</collection>
    <collection role="institutes" number="IAFW">Zentrum für Forschung und Transfer (ZFT ab 2024; vorher: IAFW)</collection>
    <collection role="persons" number="sternerfenes">Sterner, Michael (Prof. Dr.) - FENES / Forschungsgruppe Energiespeicher</collection>
    <thesisPublisher>Ostbayerische Technische Hochschule Regensburg</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-oth-regensburg/files/799/Forschungsbericht_2013.pdf</file>
  </doc>
  <doc>
    <id>1383</id>
    <completedYear/>
    <publishedYear>2017</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>periodicalpart</type>
    <publisherName/>
    <publisherPlace>Regensburg</publisherPlace>
    <creatingCorporation>Ostbayerische Technische Hochschule Regensburg</creatingCorporation>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Forschungsbericht 2017</title>
    <identifier type="isbn">978-3-9818209-3-5</identifier>
    <identifier type="urn">urn:nbn:de:bvb:898-opus4-13835</identifier>
    <identifier type="doi">10.35096/othr/pub-1383</identifier>
    <author>Karsten Weber</author>
    <author>Sebastian Dendorfer</author>
    <author>Franz Süß</author>
    <author>Simone Kubowitsch</author>
    <author>Thomas Schratzenstaller</author>
    <author>Sonja Haug</author>
    <author>Christa Mohr</author>
    <author>Hans Kiesl</author>
    <author>Jörg Drechsler</author>
    <author>Markus Westner</author>
    <author>Jörn Kobus</author>
    <author>Martin J. W. Schubert</author>
    <author>Stefan Zenger</author>
    <author>Alexander Pietsch</author>
    <author>Josef Weiß</author>
    <author>Sebastian Hinterseer</author>
    <author>Roland Schieck</author>
    <author>Stefanie Scherzinger</author>
    <author>Meike Klettke</author>
    <author>Andreas Ringlstetter</author>
    <author>Uta Störl</author>
    <author>Tegawendé F. Bissyandé</author>
    <author>Achim Seeburger</author>
    <author>Timo Schindler</author>
    <author>Ralf Ramsauer</author>
    <author>Jan Kiszka</author>
    <author>Andreas Kölbl</author>
    <author>Daniel Lohmann</author>
    <author>Wolfgang Mauerer</author>
    <author>Johannes Maier</author>
    <author>Ulrike Scorna</author>
    <author>Christoph Palm</author>
    <author>Alexander Soska</author>
    <author>Jürgen Mottok</author>
    <author>Andreas Ellermeier</author>
    <author>Daniel Vögele</author>
    <author>Stefan Hierl</author>
    <author>Ulrich Briem</author>
    <author>Knut Buschmann</author>
    <author>Ingo Ehrlich</author>
    <author>Christian Pongratz</author>
    <author>Benjamin Pielmeier</author>
    <author>Quirin Tyroller</author>
    <author>Gareth J. Monkman</author>
    <author>Franz Gut</author>
    <author>Carina Roth</author>
    <author>Peter Hausler</author>
    <author>Rudolf Bierl</author>
    <author>Christian Prommesberger</author>
    <author>Robert Damian Ławrowski</author>
    <author>Christoph Langer</author>
    <author>Rupert Schreiner</author>
    <author>Yifeng Huang</author>
    <author>Juncong She</author>
    <author>Andreas Ottl</author>
    <author>Walter Rieger</author>
    <author>Agnes Kraml</author>
    <author>Thomas Poxleitner</author>
    <author>Simon Hofer</author>
    <author>Benjamin Heisterkamp</author>
    <author>Maximilian Lerch</author>
    <author>Nike Sammer</author>
    <author>Olivia Golde</author>
    <author>Felix Wellnitz</author>
    <author>Sandra Schmid</author>
    <author>Claudia Muntschick</author>
    <author>Wolfgang Kusterle</author>
    <author>Ivan Paric</author>
    <author>Oliver Brückl</author>
    <author>Matthias Haslbeck</author>
    <author>Ottfried Schmidt</author>
    <author>Peter Schwanzer</author>
    <author>Hans-Peter Rabl</author>
    <author>Michael Sterner</author>
    <author>Franz Bauer</author>
    <author>Sven Steinmann</author>
    <author>Fabian Eckert</author>
    <author>Andreas Hofrichter</author>
    <series>
      <title>Forschungsberichte der OTH Regensburg</title>
      <number>2017</number>
    </series>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Forschung</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Forschungsbericht</value>
    </subject>
    <collection role="institutes" number="HL">Hochschulleitung/Hochschulverwaltung</collection>
    <collection role="othpublikationsherkunft" number="">Von der OTH Regensburg herausgegeben</collection>
    <collection role="persons" number="weberlate">Weber, Karsten (Prof. Dr.) - Labor für Technikfolgenabschätzung und Angewandte Ethik</collection>
    <collection role="institutes" number="IAFW">Zentrum für Forschung und Transfer (ZFT ab 2024; vorher: IAFW)</collection>
    <collection role="persons" number="sternerfenes">Sterner, Michael (Prof. Dr.) - FENES / Forschungsgruppe Energiespeicher</collection>
    <collection role="persons" number="bruecklfenes">Brückl, Oliver (Prof. Dr.) - FENES / Forschungsgruppe Energienetze</collection>
    <collection role="persons" number="hauglasofo">Haug, Sonja (Prof. Dr.) - Labor Empirische Sozialforschung</collection>
    <thesisPublisher>Ostbayerische Technische Hochschule Regensburg</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-oth-regensburg/files/1383/Forschungsbericht_OTHR_2017.pdf</file>
  </doc>
  <doc>
    <id>1382</id>
    <completedYear/>
    <publishedYear>2018</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>98</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <type>periodicalpart</type>
    <publisherName/>
    <publisherPlace>Regensburg</publisherPlace>
    <creatingCorporation>Ostbayerische Technische Hochschule Regensburg</creatingCorporation>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Forschung 2018</title>
    <identifier type="isbn">978-3-9818209-5-9</identifier>
    <identifier type="urn">urn:nbn:de:bvb:898-opus4-13826</identifier>
    <identifier type="doi">10.35096/othr/pub-1382</identifier>
    <author>Christian Broser</author>
    <author>Thomas Falter</author>
    <author>Robert Damian Ławrowski</author>
    <author>Amelie Altenbuchner</author>
    <author>Daniel Vögele</author>
    <author>Claus Koss</author>
    <author>Matthias Schlamp</author>
    <author>Jan Dunnweber</author>
    <author>Oliver Steffens</author>
    <author>Markus Heckner</author>
    <author>Sabine Jaritz</author>
    <author>Thomas Schiegl</author>
    <author>Sabine Corsten</author>
    <author>Norina Lauer</author>
    <author>Katherine Guertler</author>
    <author>Eric Koenig</author>
    <author>Sonja Haug</author>
    <author>Dominik Huber</author>
    <author>Clemens Birkenmaier</author>
    <author>Lars Krenkel</author>
    <author>Thomas Wagner</author>
    <author>Xenia Justus</author>
    <author>Sean Patrick Saßmannshausen</author>
    <author>Nadine Kleine</author>
    <author>Karsten Weber</author>
    <author>Carina N. Braun</author>
    <author>Giuliano Giacoppo</author>
    <author>Michael Heinrich</author>
    <author>Tobias Just</author>
    <author>Thomas Schreck</author>
    <author>Andreas Schnabl</author>
    <author>Amador Téran Gilmore</author>
    <author>Samuel Roeslin</author>
    <author>Sandra Schmid</author>
    <author>Felix Wellnitz</author>
    <author>Sebastian Malz</author>
    <author>Andreas Maurial</author>
    <author>Florian Hauser</author>
    <author>Jürgen Mottok</author>
    <author>Meike Klettke</author>
    <author>Stefanie Scherzinger</author>
    <author>Uta Störl</author>
    <author>Markus Heckner</author>
    <author>Alexander Bazo</author>
    <author>Christian Wolff</author>
    <author>Andreas Kopper</author>
    <author>Markus Westner</author>
    <author>Christian Pongratz</author>
    <author>Ingo Ehrlich</author>
    <author>Ulrich Briem</author>
    <author>Sebastian Hederer</author>
    <author>Marcus Wagner</author>
    <author>Moritz Schillinger</author>
    <author>Julien Görlach</author>
    <author>Stefan Hierl</author>
    <author>Marco Siegl</author>
    <author>Christoph Langer</author>
    <author>Matthias Hausladen</author>
    <author>Rupert Schreiner</author>
    <author>Matthias Haslbeck</author>
    <author>Reinhard Kreuzer</author>
    <author>Oliver Brückl</author>
    <author>Belal Dawoud</author>
    <author>Hans-Peter Rabl</author>
    <author>Bernd Gamisch</author>
    <author>Ottfried Schmidt</author>
    <author>Michael Heberl</author>
    <author>Bianca Gänsbauer</author>
    <author>Werner Bick</author>
    <author>Andreas Ellermeier</author>
    <author>Gareth J. Monkman</author>
    <author>Nina Prem</author>
    <author>Dirk Sindersberger</author>
    <author>Karl Tschurtschenthaler</author>
    <author>Maximilian Aurbach</author>
    <author>Sebastian Dendorfer</author>
    <author>Michael A. Betz</author>
    <author>Tamara Szecsey</author>
    <author>Wolfgang Mauerer</author>
    <author>Florian Murr</author>
    <series>
      <title>Forschungsberichte der OTH Regensburg</title>
      <number>2018</number>
    </series>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Forschung</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>swd</type>
      <value>Forschungsbericht</value>
    </subject>
    <collection role="institutes" number="HL">Hochschulleitung/Hochschulverwaltung</collection>
    <collection role="othpublikationsherkunft" number="">Von der OTH Regensburg herausgegeben</collection>
    <collection role="persons" number="weberlate">Weber, Karsten (Prof. Dr.) - Labor für Technikfolgenabschätzung und Angewandte Ethik</collection>
    <collection role="institutes" number="IAFW">Zentrum für Forschung und Transfer (ZFT ab 2024; vorher: IAFW)</collection>
    <collection role="persons" number="bruecklfenes">Brückl, Oliver (Prof. Dr.) - FENES / Forschungsgruppe Energienetze</collection>
    <collection role="persons" number="hauglasofo">Haug, Sonja (Prof. Dr.) - Labor Empirische Sozialforschung</collection>
    <thesisPublisher>Ostbayerische Technische Hochschule Regensburg</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-oth-regensburg/files/1382/Forschung-OTHR_2018.pdf</file>
  </doc>
  <doc>
    <id>5618</id>
    <completedYear/>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferencepresentation</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Quantum Computing for DB - Applicability on Multi Query Optimization and Join Order Optimization</title>
    <parentTitle language="deu">Frühjahrstreffen Fachgruppe Datenbanken in Potsdam, 2022</parentTitle>
    <identifier type="url">https://www.lfdr.de/Publications/2022/FGDB_Poster_Schoenberger.pdf</identifier>
    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Manuel Schönberger</author>
    <author>Stefanie Scherzinger</author>
    <author>Wolfgang Mauerer</author>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="othforschungsschwerpunkt" number="16311">Digitalisierung</collection>
    <collection role="institutes" number="">Labor für Digitalisierung (LFD)</collection>
  </doc>
  <doc>
    <id>3470</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>IEEE</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Peel | Pile? Cross-Framework Portability of Quantum Software</title>
    <abstract language="eng">In recent years, various vendors have made quantum software frameworks available. Yet with vendor-specific frameworks, code portability seems at risk, especially in a field where hardware and software libraries have not yet reached a consolidated state, and even foundational aspects of the technologies are still in flux. Accordingly, the development of vendor-independent quantum programming languages and frameworks is often suggested. This follows the established architectural pattern of introducing additional levels of abstraction into software stacks, thereby piling on layers of abstraction. Yet software architecture also provides seemingly less abstract alternatives, namely to focus on hardware-specific formulations of problems that peel off unnecessary layers. In this article, we quantitatively and experimentally explore these strategic alternatives, and compare popular quantum frameworks from the software implementation perspective. We find that for several specific, yet generalisable problems, the mathematical formulation of the problem to be solved is not just sufficiently abstract and serves as precise description, but is likewise concrete enough to allow for deriving framework-specific implementations with little effort. Additionally, we argue, based on analysing dozens of existing quantum codes, that porting between frameworks is actually low-effort, since the quantum- and framework-specific portions are very manageable in terms of size, commonly in the order of mere hundreds of lines of code. Given the current state-of-the-art in quantum programming practice, this leads us to argue in favour of peeling off unnecessary abstraction levels.</abstract>
    <parentTitle language="eng">2022 IEEE 19th International Conference on Software Architecture Companion (ICSA-C), 12-15 March 2022, Honolulu, HI, USA</parentTitle>
    <identifier type="doi">10.1109/ICSA-C54293.2022.00039</identifier>
    <note>Preprint unter: https://arxiv.org/abs/2203.06289</note>
    <enrichment key="opus.import.date">2022-04-10T09:34:41+00:00</enrichment>
    <enrichment key="opus.source">sword</enrichment>
    <enrichment key="opus.import.user">importuser</enrichment>
    <enrichment key="BegutachtungStatus">peer-reviewed</enrichment>
    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Manuel Schönberger</author>
    <author>Maja Franz</author>
    <author>Stefanie Scherzinger</author>
    <author>Wolfgang Mauerer</author>
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