TY - GEN A1 - Hauser, Florian A1 - Reuter, Rebecca A1 - Gegenfurtner, Andreas A1 - Gruber, Hans A1 - Mottok, Jürgen A1 - Hutzler, Ivonne T1 - Heuristics in Software Modelling: An Eyetracking Study T2 - Earli Book of Abstracts N2 - To investigate the role of heuristics in the domain of software engineering, an eye tracking study was conducted in which experts and novices were compared. The study focused on one of the most challenging parts in this domain: the generation of an object model for a software product based on a requirements specification. During their training, software engineers are taught different techniques to solve this task. One of these techniques is the noun/verb analysis. However, it is still unclear to what extent novice and expert programmers are making use of it. Ideally, the noun/verb analysis works as a heuristic and helps programmers to make fast and accurate decisions. Participants in the study were 40 software programmers at four levels of expertise (novices, intermediates, experienced rogrammers, experts). They were presented with ten decision tasks. In each task, participants read a requirement specification and then had to choose one out of three presented class diagrams that they considered the best solution. During the task, their eye movements were recorded. Results show that all participants used the noun/verb analysis as a heuristic. Programmers with higher levels of expertise, however, outperformed programmers with lower levels of expertise. Interestingly, the more experienced programmers were not following the noun/verb analysis in a blindfolded way. They realised that the noun/verb analysis would produce diagrams, but a skilled software architect would not model them in this way. Instead they created their models in a way that they perceived as more logical and realistic Y1 - 2019 UR - https://earli.org/sites/default/files/2019-09/BOA-2019.pdf PB - RWTH Aachen ER - TY - CHAP A1 - Schmid, Michael A1 - Fritz, Florian A1 - Mottok, Jürgen T1 - Parallel Programming in Real-Time Systems T2 - Architecture of computing systems - ARCS 2019, 32nd international conference, Copenhagen, Denmark, May 20-21, 2019, proceedings N2 - The enormous amounts of data modern real-time systems have to process lead to expensive, long-lasting calculations. In order to manage those computations in a timely manner, parallel task models have gained a lot of popularity lately. However, parallel programming can be very cumbersome and verbose. Other computationally intensive sectors have dealt with parallel computing for decades and have accumulated their experience in the development of parallel frameworks. Examples of well known parallel runtime systems are OpenMP, Intel Threading Building Blocks (TBB) and Microsoft Parallel Pattern Library (PPL). These runtime systems allow developers to enhance parallelism in their applications in a straightforward fashion. However, those parallel frameworks and the patternbased interfaces they provide might not be easily applicable in real-time systems. In this paper, we investigate the use of parallel programming frameworks in time-critical systems. On that account, we discuss considerations for the design of real-time applications that make use of such parallel runtime systems. Furthermore, we evaluate three library-based frameworks from different computing sectors, namely Intel Threading Building Blocks, Embedded Multicore Building Blocks (EMBB) and High Performance ParalleX (HPX), by conducting benchmarks of various parallel algorithms on an embedded multicore architecture. Y1 - 2019 UR - https://ieeexplore.ieee.org/abstract/document/8836206 PB - VDE-Verlag CY - Berlin ER - TY - CHAP A1 - Gschossmann, Andreas A1 - Jobst, Simon A1 - Mottok, Jürgen A1 - Bierl, Rudolf T1 - A Measure of Confidence of Artificial Neural Network Classifiers T2 - ARCS Workshop 2019; 32nd International Conference on Architecture of Computing Systems, 20-21 May 2019, Copenhagen, Denmark N2 - Confidence in results of an Artificial Neural Networks (ANNs) is increased by preferring to reject data, that is not trustful, instead of risking a misclassification. For this purpose a model is proposed that is able to recognize data, which differs significantly from the training data, during inference. The proposed model observes all activations of the hidden layers, as well as input and output layers of an ANN in a grey-box view. To make ANNs more robust in safety critical applications, this model can be used to reject flawed data, that is suspected to decrease the accuracy of the model. If this information is logged during inference, it can be used to improve the model, by training it specifically with the missing information. An experiment on the MNIST dataset is conducted and its results are discussed. Y1 - 2019 UR - https://ieeexplore.ieee.org/document/8836211 SP - 153 EP - 157 PB - VDE-Verlag CY - Berlin ER - TY - CHAP A1 - De, Sangita A1 - Niklas, Michael A1 - Rooney, Brian A1 - Mottok, Jürgen A1 - Brada, Premek T1 - Towards Translation of Semantics of Automotive Interface Description Models from Franca to AUTOSAR Frameworks BT - An Approach using Semantic Synergies T2 - 2019 International Conference on Applied Electronics (AE), 10-11 Sept. 2019, Pilsen, Czech Republic N2 - The automotive industry is eventually evolving into a complex network of services. The heterogeneous and distributed nature of automotive software systems demands flexible software components which can operate in different environments. Because of heterogeneous automotive development environments, the domain experts, must cope with too many diversities, adaption layers, and incompatibilities to design applications for the current generation of autonomous driving vehicles. In this context, interface adaptation is a promising approach to achieve flexibility without directly changing the respective components. AUTOSAR, which is the de-facto standard for describing automotive system architecture and is a hugely comprehensive standard allowing designers full control from abstract system description to bare metal level deployment. However, the vehicle subsystems have still evolved to include multifarious high-level domains not covered by AUTOSAR e.g. Infotainment, Telematics etc. Therefore, it seems beneficial to bridge the semantic gaps between AUTOSAR applications and other standards of automotive application domains. The goal of this paper is to investigate interface semantic mapping and achieve transparent integration of domain-specific applications using the translation of semantics among the AUTOSAR platform software component models and other software components models of open source development platforms e.g. GENIVI. A key goal of such a modelling approach is the reuse of existing interface description languages and respective code generators. This will enhance future interoperability and decrease in incompatibility among these platforms. KW - Adaptation models KW - ARXML KW - Automotive engineering KW - component model KW - Connectors KW - FRAMEWORK KW - Franca IDL KW - interface KW - Receivers KW - semantic KW - synergy KW - traits Y1 - 2019 U6 - https://doi.org/10.23919/AE.2019.8867018 SP - 1 EP - 6 PB - University of West Bohemia ER - TY - CHAP A1 - Reuter, Rebecca A1 - Hauser, Florian A1 - Muckelbauer, Daniel A1 - Stark, Theresa A1 - Antoni, Erika A1 - Mottok, Jürgen A1 - Wolff, Christian T1 - Using augmented reality in software engineering education? First insights to a comparative study of 2D and AR UML modeling T2 - Proceedings of the 52nd Hawaii International Conference on System Sciences (HICSS) and 31st Conference on Software Engineering Education and Training (CSEE&T), January 8 - 11, 2019 Grand Wailea, Hawaii N2 - Although there has been much speculation about the potential of Augmented Reality (AR) in teaching for learning material, there is a significant lack of empirical proof about its effectiveness and implementation in higher education. We describe a software to integrate AR using the Microsoft Hololens into UML (Unified Modeling Language) teaching. Its user interface is laid out to overcome problems of existing software. We discuss the design of the tool and report a first evaluation study. The study is based upon effectiveness as a metric for students performance and components of motivation. The study was designed as control group experiment with two groups. The experimental group had to solve tasks with the help of the AR modeling tool and the control group used a classic PC software. We identified tendencies that participants of the experimental group showed more motivation than the control group. Both groups performed equally well Y1 - 2019 U6 - https://doi.org/10.24251/HICSS.2019.938 SP - 7798 EP - 7807 ER - TY - CHAP A1 - Reuter, Rebecca A1 - Knietzsch, Marco A1 - Hauser, Florian A1 - Mottok, Jürgen T1 - Supporting Abstraction Skills Using Augmented Reality? T2 - ITiCSE '19, Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education, July 2019, Aberdeen Scotland UK N2 - We investigated the potential of augmented reality (AR) to enable visualization of abstract concepts and present the first iteration of a teaching experiment that evaluates the use of AR as support for abstraction skills. Students were confronted with the task to present and explain information to different groups of stakeholders at the example of a coffee machine. Results show that students find it helpful to have a visual app-prototype and especially one that can be disassembled in different levels. The main goal was to sensitize students for the need to think about and to abstract information for certain roles and perspectives. Y1 - 2019 U6 - https://doi.org/10.1145/3304221.3325562 ER - TY - CHAP A1 - Schreistetter, Stefan A1 - Hauser, Florian A1 - Reuter, Rebecca A1 - Jahn, Sabrina A1 - Mottok, Jürgen T1 - Using Eye Tracking Data to analyze students’ tasks solving behavior in classroom contexts T2 - 12th International Conference of Education, Research and Innovation (ICERI 2019), Conference Proceedings, 2019, Seville (Spain) Y1 - 2019 SN - 978-84-09-14755-7 U6 - https://doi.org/10.21125/iceri.2019.1473 SN - 2340-1095 SP - 6087 EP - 6096 ER - TY - CHAP A1 - Jahn, Sabrina A1 - Gold-Veerkamp, Carolin A1 - Reuter, Rebecca A1 - Mottok, Jürgen A1 - Abke, Jörg T1 - Secure Software Engineering in academic education: students’ sreconceptions of it security T2 - 12th International Conference of Education, Research and Innovation (ICERI2019), 11-13 November 2019, Seville, Spain Y1 - 2019 U6 - https://doi.org/10.21125/iceri.2019.1624 SP - 6825 EP - 6834 ER - TY - CHAP A1 - Hauser, Florian A1 - Reuter, Rebecca A1 - Gegenfurtner, Andreas A1 - Gruber, Hans A1 - Mottok, Jürgen T1 - Eye movements in software modelling – what do they tell us about heuristics T2 - 12th International Conference of Education, Research and Innovation (ICERI 2019), Conference Proceedings, 2019, Seville (Spain) Y1 - 2019 SN - 978-84-09-14755-7 U6 - https://doi.org/10.21125/iceri.2019.1469 SP - 6064 EP - 6070 ER - TY - CHAP A1 - Osinski, Lukas A1 - Mottok, Jürgen ED - Schoeberl, Martin ED - Hochberger, Christian ED - Uhrig, Sascha ED - Brehm, Jürgen ED - Pionteck, Thilo T1 - S 3DES - Scalable Software Support for Dependable Embedded Systems T2 - Architecture of Computing Systems - ARCS 2019, 32nd International Conference, Copenhagen, Denmark, May 20-23, 2019, Proceedings N2 - Scalable Software Support for Dependable Embedded Systems (S3DES) achieves fault tolerance by utilizing spatial software-based triple modular redundancy for computational and voter processes on application level. Due to the parallel execution of the replicas on distinct CPU cores it makes a step towards software-based fault tolerance against transient and permanent random hardware errors. Additionally, the compliance with real-time requirements in terms of response time is enhanced compared to similar approaches. The replicated voters, the introduced mutual voter monitoring and the optimized arithmetic encoding allow the detection and compensation of voter failures without the utilization of backward recovery. Fault injection experiments on real hardware reveal that S3DES can detect and mask all injected data and program flow errors under a single fault assumption, whereas an uncoded voting scheme yields approx. 12% silent data corruptions in a similar experiment. Y1 - 2019 U6 - https://doi.org/10.1007/978-3-030-18656-2_2 SP - 15 EP - 27 PB - Springer CY - Cham ER - TY - CHAP A1 - Weiherer, Kerstin A1 - Osinski, Lukas A1 - Mottok, Jürgen T1 - Software-Based Triple Modular Redundancy with Fault-Tolerant Replicated Voters T2 - 32nd International Conference on Architecture of Computing Systems, ARCS Workshop 2019, 20-21 May 2019, Copenhagen, Denmark N2 - New computing-intensive applications such as assisted or highly automated driving are rapidly expanding the domain of safety-critical embedded systems, driven by the vision of the driverless car. This development makes it necessary to use high performance multi-core systems which are commercially available and provide more parallelism in terms of redundant execution units, however, at the cost of being less reliable. With the continuous down-scaling of semiconductor technology, computing hardware exhibits an increasing vulnerability against random hardware faults. Since these high-performance controller provide less or no hardware redundancy to ensure a safe execution of the application, software-only fault tolerance approaches are under current investigation. Our Scalable Software Support for Dependable Embedded Systems (S3DES) approach achieves fault tolerance by utilizing software-based triple modular redundancy for computational and optimized arithmetic encoded voter processes to ensure fault detection and error handling on application level. In S3DES voters are replicated to allow the compensation of voting failures. However, new challenges with regard to error propagation and multiple voting result outputs are introduced by this extension. We describe how mutual voter monitoring and threshold value checks could be used to establish a hierarchy among the replicated voters without re-introducing a reliability bottleneck in the sense of a single point of failure and resolve the aforementioned challenges. Y1 - 2019 UR - https://ieeexplore.ieee.org/abstract/document/8836210 SP - 1 EP - 8 ER - TY - CHAP A1 - Seebauer, Stefan A1 - Jahn, Sabrina A1 - Mottok, Jürgen T1 - Escape Rooms for teaching IT-Security T2 - 12th International Conference of Education, Research and Innovation (ICERI2019), 11-13 November 2019, Seville, Spain Y1 - 2019 U6 - https://doi.org/10.21125/iceri.2019.1623 SP - 6815 EP - 6824 ER - TY - CHAP A1 - Osinski, Lukas A1 - Mottok, Jürgen T1 - Control Flow Errors: A Discussion of Different Injection Strategies T2 - 32nd International Conference on Architecture of Computing Systems, ARCS Workshop 2019, 20-21 May 2019, Copenhagen, Denmark N2 - Among the available dependability assessment techniques, fault injection (FI) is widely adopted and strongly recommended by safety standards for the validation that functional and technical safety mechanisms are implemented correctly and effectively. The main challenge in fault injection assessments is the increasing complexity of system-on-chips as well as the increasing size of memory, which leads to enormous efforts to test every possible fault introduced to the system. Therefore, a number of publicly available fault injection frameworks utilize fault space pruning techniques to reduce the overall fault space and consequently the overall experiment duration. Most of the fault space pruning techniques mainly discuss the reduction of the number of data errors which have to be injected into registers and memory locations. However, control flow errors represent a further domain of possible errors on the application level. Usually for the evaluation of effectiveness of fault tolerance mechanisms against data errors, a single fault assumption at microarchitectural level (e.g. bit-flips) is assumed. In most cases, this assumption is equivalently applied to the program counter to investigate possible control flow errors. Due to this approach, the error space is consciously or unconsciously reduced to the possible erroneous jump targets that can be reached by a specific set of bit-flips in the program counter at a specified time during the program execution. This approach is considered valid regarding the corresponding fault assumption, but leads to negative effects on the significance of the injection and the resulting effectiveness of the tested fault tolerance mechanism. In this paper, we discuss different strategies for the analysis and injection of control flow errors and the resulting differences by considering the single fault assumption at microarchitectural and application level. Y1 - 2019 UR - http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8836207&isnumber=8836190 SP - 1 EP - 7 ER - TY - CHAP A1 - Lalo, Erjola A1 - Weber, Raphael A1 - Sailer, Andreas A1 - Mottok, Jürgen A1 - Siemers, Christian T1 - On Solving Task Allocation and Schedule Generation for Time-Triggered LET Systems using Constraint Programming T2 - 32nd International Conference on Architecture of Computing Systems, ARCS Workshop 2019, 20-21 May 2019, Copenhagen, Denmark N2 - The amount of safety-critical embedded systems in automotive development is heavily growing. Ensuring their reliability not only increases the complexity of functions but also requires determinism at design and execution time, which is considerably challenging to fulfill and verify for multi-core processors. The Logical Execution Time (LET) is recently recognized in automotive industry as an approach for ensuring deterministic functional behavior. However, to decrease the manual design effort and time for deploying such complex systems to multi-core platforms and for ensuring their strict timing and safety requirements, automatic solutions are needed. This work presents a solution for allocating tasks to multi-core processors and generating a time-triggered schedule for embedded systems considering safety, timing, and LET semantics. The approach we propose solves both challenges by defining them as a Constraint Satisfaction Problem (CSP). To examine our CSP formulation, we use MiniZinc, which is a solver-independent constraint modeling language that can employ a variety of solvers. In a case study, we explore optimizations of an industrial system that are enabled by scheduling and task allocation design decisions. Further, the performance of the proposed solutions is evaluated based on large set of synthetically generated system models. Y1 - 2019 UR - https://ieeexplore.ieee.org/abstract/document/8836201 SP - 1 EP - 8 ER - TY - CHAP A1 - Nagengast, Christian A1 - Osinski, Lukas A1 - Mottok, Jürgen T1 - Synchronization Techniques for Parallel Redundant Execution of Applications T2 - 32nd International Conference on Architecture of Computing Systems, ARCS Workshop 2019, 20-21 May 2019, Copenhagen, Denmark N2 - In fault tolerant systems, applications are replicated and executed to enable error detection and recovery. If one replica application fails, another is able to take its place and provide the correct results. This concept can benefit from parallel execution on separate execution units. The rise of multicore platforms supports the development of parallel software, by providing the adequate hardware. However, this raises challenges regarding the synchronization of the redundant strings of execution. Replica determinism means that given the same input, identical programs provide the same output. To ensure replica determinism, requirements regarding the synchronization can be split in two domains: data and time. This paper examines the state of the art of synchronization techniques for parallel replicated execution in the context of fault tolerant systems. We analyze the requirements regarding synchronization within the time and data domain and compare different concepts of hardware (multicore, multiprocessor and multi-PCB) and software (processes, threads). Y1 - 2019 UR - http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8836209&isnumber=8836190 SP - 1 EP - 8 PB - IEEE ER - TY - CHAP A1 - Mottok, Jürgen A1 - Reichenberger, Marcus T1 - Use of Static Analysis and Coding Guidelines in embedded Systems Software T2 - 1st Applied Research Conference, ARC 2019, 8 July 2019, Regensburg Y1 - 2019 SN - 978-3-96409-182-6 SP - 571 EP - 578 PB - Pro BUSINESS ER - TY - CHAP A1 - Schmid, Michael A1 - Mottok, Jürgen ED - Schoeberl, Martin ED - Hochberger, Christian ED - Uhrig, Sascha ED - Brehm, Jürgen ED - Pionteck, Thilo T1 - Asynchronous Critical Sections in Real-Time Multiprocessor Systems T2 - Architecture of Computing Systems - ARCS 2019, 32nd International Conference, Copenhagen, Denmark, May 20-23, 2019, Proceedings N2 - Sharing data across multiple tasks in multiprocessor systems has intensively been studied in the past decades. Various synchronization protocols, the most well-known being the Priority Inheritance Protocol or the Priority Ceiling Protocol, have been established and analyzed so that blocking times of tasks waiting to access a shared resource can be upper bounded. To the best of our knowledge, all of these protocols share one commonality: Tasks that want to enter a critical section, that is already being executed by another task, immediately get blocked. In this paper, we introduce the Asynchronous Priority Ceiling Protocol (A-PCP), which makes use of aperiodic servers to execute the critical sections asynchronously, while the calling task can continue its work on non-critical section code. For this protocol, we provide a worst-case response time analysis of the asynchronous computations, as well as necessary and sufficient conditions for a feasibility analysis of a set of periodic tasks using the proposed synchronization model on a system that preemptively schedules the tasks under the rate-monotonic priority assignment. Y1 - 2019 U6 - https://doi.org/10.1007/978-3-030-18656-2_5 SP - 56 EP - 67 PB - Springer CY - Cham ER - TY - CHAP A1 - Renner, Sebastian A1 - Pozzobon, Enrico A1 - Mottok, Jürgen A1 - Hackenberg, Rudolf T1 - Benchmarking Software Implementations of 1st Round Candidates of the NIST LWC Project on Microcontrollers T2 - 3rd Lightweight Cryptography Workshop at NIST, Gaithersburg, USA N2 - This paper introduces a custom framework for benchmarking software implementations from the National Institute of Standards and Technology (NIST) Lightweight Cryptography (LWC) project on embedded devices. We present the design and core functions of the framework and apply it to various NIST LWC authenticated encryption with associated data (AEAD) ciphers. Altogether, we evaluate the speed of 213 submitted algorithm vari-ants on four different microcontroller units (MCUs), including 32 bit ARM and 8 bit AVR architectures. To allow a more meaningful comparison, we also conduct code size tests on all four boards and RAM utilization tests on one test platform. Y1 - 2019 UR - https://csrc.nist.gov/CSRC/media/Events/lightweight-cryptography-workshop-2019/documents/papers/benchmarking-software-implementations-lwc2019.pdf ER - TY - CHAP A1 - Renner, Sebastian A1 - Mottok, Jürgen ED - Trinitis, Carsten ED - Pionteck, Thilo T1 - Towards Key Management Challenges in the Smart Grid T2 - ARCS Workshop 2019 - 32nd International Conference on Architecture of Computing Systems, 20-21 May 2019, Copenhagen, Denmark N2 - The used technology in the power system is subject of great change. Through the use of smart devices, the systems in the power grid get interconnected between each other and remote networks. Especially the remote access to the critical smart grid environment involves new challenges in the area of security. To ensure the transmitted data and the access to the system is secured, cryptographic mechanisms have to be implemented. One critical part in this task is the management of cryptographic keys. This paper explains and defines a set of basic requirements for cryptographic key management in the smart grid. These requirements are derived from challenges present in common corporate environments. Then, basic approaches in the field of key management are stated and evaluated for the applicability in the power system. Different protocols for the implementation of key management strategies are shown and an assessment regarding their suitability for the defined requirements is conducted. KW - Cryptographic key management KW - smart grid security KW - post-quantum cryptography Y1 - 2019 UR - https://ieeexplore.ieee.org/document/8836205 SN - 978-3-8007-4957-7 PB - VDE-Verlag CY - Berlin ER - TY - CHAP A1 - De, Sangita A1 - Niklas, Michael A1 - Mottok, Jürgen A1 - Brada, Přemek T1 - A Semantic Analysis of Interface Description Models of Heterogeneous Vehicle Application Frameworks: An Approach Towards Synergy Exploration T2 - MODELSWARD 2019: Proceedings of the 7th International Conference on Model-Driven Engineering and Software Development, 20.02.2019 - 22.02.2019, Prague, Czech Republic N2 - As the world is getting more connected, the demands of services in automotive industry are increasing with the requirements such as IoT (Internet of Things) in cars, automated driving, etc. Eventually, the automotive industry has evolved to a complex network of servi ces, where each organization depends on the other organizations, to satisfy its service requirements in different phases of the vehicle life cycle. Because of these heterogeneous and complex development environments, most of the vehicle component interface models need to be specified in various manifest ations to satisfy the semantic and syntactic requirements, specific to different application development environments or frameworks. This paperdescribes an approach to semantic analysis of components interfaces description models of heterogeneous frameworks, that are used for vehicle applications. The proposed approach intends to ensure that interface description models of different service-based vehicle frameworks can be compared, correlated and re-used based on semantic synergies, across different vehicle platforms, development environments and organizations. The approach to semantic synergy exploration could further provide the knowledge base for the increase in interoperability, overall efficiency and development of an automotive domain specific general software solutions, by facilitating coexistence of components of heterogeneous frameworks in the same high-performance ECU for future vehicle software. KW - Application: Framework KW - IDL KW - Semantic: Mapping Y1 - 2019 SN - 978-989-758-358-2 SP - 394 EP - 401 PB - SCITEPRESS ER - TY - CHAP A1 - De, Sangita A1 - Mottok, Jürgen A1 - Niklas, Michael A1 - Brada, Premek ED - Trinitis, Carsten ED - Pionteck, Thilo T1 - Semantic Synergy Exploration in Interface Description Models of Heterogeneous Vehicle Frameworks: Towards Automotive Meta Interface Description Model T2 - ARCS 2019: 32nd GI/ITG International Conference on Architecture of Computing Systems May 20 - 21, 2019, Technical University of Denmark, Copenhagen, Denmark Workshop, Proceedings N2 - This The vehicle is evolving to a complex network of heterogeneous subsystems of ECUs, sensors and actuators, each with different computational requirements. These sub-systems are connected via bus systems following different communication paradigms like e.g. signal based or service-oriented communications. This has led to the heterogeneous syntax of describing interfaces even though the semantics of the interfaces are similar. The wide variety of Interface Description Languages (IDLs) in automotive industry hinders partly with the efficient collaboration between different suppliers and the OEMs in the automotive industry. Given this wide variety of automotive IDLs, what could be more beneficial, from a software engineering point of view, is a generic automotive domain specific IDL that can satisfy all the fundamental requirements of the heterogeneous subsystems. This paper describes an approach to compare and correlate IDLs based on semantic similarities of the languages, considering the two aspects: application description and underlying message frameworks used in the different domains of given automotive subsystems. With the exploration of semantic synergies between the IDLs, various domain specific and domain-agnostic frameworks can be compared and correlated. The results can be generalized and abstracted to define a generic Meta IDL which could support use cases like e.g. domain-agnostic functional models and migration of software components between different kinds of automotive subsystems. Y1 - 2019 UR - https://ieeexplore.ieee.org/document/8836199 SN - 978-3-8007-4957-7 SP - 63 EP - 70 PB - VDE VERLAG CY - Berlin ER - TY - CHAP A1 - Thomeczek, Ludwig A1 - Attenberger, Andreas A1 - Kolb, Johannes A1 - Matoušek, Vaclav A1 - Mottok, Jürgen ED - Trinitis, Carsten ED - Pionteck, Thilo T1 - Measuring Safety Critical Latency Sources using Linux Kernel eBPF Tracing T2 - ARCS 2019: 32nd International Conference on Architecture of Computing Systems : workshop proceedings, May 20- 21, 2019, Technical University of Denmark, Copenhagen, Denmark Y1 - 2019 UR - https://ieeexplore.ieee.org/abstract/document/8836200 SN - 978-3-8007-4957-7 PB - VDE VERLAG GMBH CY - Berlin ER - TY - CHAP A1 - Thomeczek, Ludwig A1 - Attenberger, Andreas A1 - Kolb, Johannes A1 - Matoušek, Václav A1 - Mottok, Jürgen ED - Unger, Herwig T1 - Betrachtungen zu Latenzquellen und deren Beobachtung in POSIX-Systemen am Beispiel von Container-Runtimes T2 - Echtzeit 2019 N2 - Die am weitesten verbreiteten autonomen Systeme der Zukunft sind aller Voraussicht nach intelligente Fahrzeuge, welche selbständig im Straßenverkehr navigieren und mit der Umgebung interagieren. Diese neuen Funktionen erfordern den Einsatz von performanten Mehrkernprozessoren sowie von komplexen (POSIX-kompatiblen) Betriebssystemen. Gleichzeitig erfordert der Einsatz im Automobil hohe funktionale Sicherheit (ASIL-Level), was unter anderem robuste Echtzeiteigenschaften der verwendeten Hard- und Software voraussetzt. Den Echtzeiteigenschaften steht die erhöhte Komplexität mit neuen Quellen für nichtdeterministische Latenzen gegenüber. In diesem Paper präsentieren wir eine Übersicht über diese neuen Einflussfaktoren, und vermessen anschließend Containerlaufzeitumgebungen und deren Latenzverhalten. Wir zeigen dabei, das Netzwerkbrücken unter Last erheblichen Einfluss (Faktor 4–5) auf die Netzwerklatenz ausüben können. Y1 - 2019 SN - 978-3-658-27807-6 U6 - https://doi.org/10.1007/978-3-658-27808-3_12 VL - 35 SP - 109 EP - 118 PB - Springer Fachmedien Wiesbaden CY - Wiesbaden ER - TY - CHAP A1 - De, Sangita A1 - Niklas, Michael A1 - Rooney, Brian A1 - Mottok, Jürgen A1 - Brada, Premek T1 - Towards Semantic model-to-model Mapping of Cross-Domain Component Interfaces for Interoperability of Vehicle Applications : An Approach towards Synergy Exploration T2 - MDE4IoT & ModComp 2019: Model-Driven Engineering for the Internet of Things (MDE4IoT) & Interplay of Model-Driven and Component-Based Software Engineering (ModComp); joint proceedings of the Workshop on Model-Driven Engineering for the Internet of Things (MDE4IoT) & of the Workshop on Interplay of Model-Driven and Component-Based Software Engineering (ModComp); co-located with the IEEE/ACM 22nd International Conference on Model Driven Engineering Languages and Systems (MODELS 2019), Munich, Germany, September 15 and 17, 2019 N2 - With the increase in demand of services in the automotive industry, automotive enterprises prefer to collaborate with other qualified cross-domain partners to provide complex automotive functions (or services), such as autonomous driving, OTA (Over The Air) vehicle update, V2X (Vehicle-to-Vehicle communication), etc. One key element in cross-domain enterprise collaboration is the mutual agreement between interfaces of software components. In this context, model-to-model mappings of software component models of heterogeneous frameworks for automotive services and to explore the synergies in their interface semantics, have become an essential factor in improving the interoperability among the automotive and other cross-domain enterprises. However, one of the challenges in achieving cross-domain component interface model-to-model mappings at an application level lies in detecting the interface semantics and the semantic relations that are conveyed in different component models in different frameworks. This paper addresses this challenge using a Model Driven Architecture (MDA) based analytical approach to explore interface semantic synergies in the cross-domain component meta-models that are used for automotive services. The approach applies manual semantic checking measurements at an application interface level to understand the meanings and relations between the different meta-model entities of cross-domain framework software components. In this research, we attempt to ensure that interface description models of software components from heterogeneous frameworks can be compared, correlated and re-used for automotive services based on semantic synergies. We have demonstrated our approach using component meta-models from cross-domain enterprises, that are used for the automotive application domain. Y1 - 2019 UR - https://ceur-ws.org/Vol-2442/paper8.pdf U6 - https://doi.org/10.13140/RG.2.2.28765.15840 PB - RWTH Aachen CY - Aachen ER - TY - JOUR A1 - Appelhans, Marie-Luise A1 - Kampmann, Matthias A1 - Mottok, Jürgen A1 - Riederer, Michael A1 - Nagl, Klaus A1 - Steffens, Oliver A1 - Dünnweber, Jan A1 - Wildgruber, Markus A1 - Roth, Julius A1 - Stadler, Timo A1 - Palm, Christoph A1 - Weiß, Martin Georg A1 - Rochholz, Sandra A1 - Bierl, Rudolf A1 - Gschossmann, Andreas A1 - Haug, Sonja A1 - Schmidbauer, Simon A1 - Koch, Anna A1 - Westner, Markus A1 - Bary, Benedikt von A1 - Ellermeier, Andreas A1 - Vögele, Daniel A1 - Maiwald, Frederik A1 - Hierl, Stefan A1 - Schlamp, Matthias A1 - Ehrlich, Ingo A1 - Siegl, Marco A1 - Hüntelmann, Sven A1 - Wildfeuer, Matthias A1 - Brückl, Oliver A1 - Sterner, Michael A1 - Hofrichter, Andreas A1 - Eckert, Fabian A1 - Bauer, Franz A1 - Dawoud, Belal A1 - Rabl, Hans-Peter A1 - Gamisch, Bernd A1 - Schmidt, Ottfried A1 - Heberl, Michael A1 - Thema, Martin A1 - Mayer, Ulrike A1 - Eller, Johannes A1 - Sippenauer, Thomas A1 - Adelt, Christian A1 - Haslbeck, Matthias A1 - Vogl, Bettina A1 - Mauerer, Wolfgang A1 - Ramsauer, Ralf A1 - Lohmann, Daniel A1 - Sax, Irmengard A1 - Gabor, Thomas A1 - Feld, Sebastian A1 - Linnhoff-Popien, Claudia A1 - Ławrowski, Robert Damian A1 - Langer, Christoph A1 - Schreiner, Rupert A1 - Sellmair, Josef ED - Baier, Wolfgang T1 - Forschung 2019 BT - Thema: Künstliche Intelligenz N2 - Bericht mit Forschungsprojekten aus verschiedenen Bereichen der OTH Regensburg mit dem Schwerpunktthema "Künstliche Intelligenz" und einem Gespräch zur "Medizin der Zukunft" T3 - Forschungsberichte der OTH Regensburg - 2019 KW - Forschung KW - Forschungsbericht KW - Künstliche Intelligenz Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-7890 SN - 978-3-9818209-7-3 CY - Regensburg ER -