TY - CHAP A1 - Segler, Christoph A1 - Kugele, Stefan A1 - Obergfell, Philipp A1 - Osman, Mohd Hafeez A1 - Shafaei, Sina A1 - Sax, Eric A1 - Knoll, Alois T1 - Anomaly Detection for Advanced Driver Assistance Systems Using Online Feature Selection T2 - 2019 IEEE Intelligent Vehicles Symposium (IV) UR - https://doi.org/10.1109/IVS.2019.8814175 Y1 - 2019 UR - https://doi.org/10.1109/IVS.2019.8814175 SN - 978-1-7281-0560-4 SP - 578 EP - 585 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Obergfell, Philipp A1 - Kugele, Stefan A1 - Sax, Eric T1 - Model-Based Resource Analysis and Synthesis of Service-Oriented Automotive Software Architectures T2 - Proceedings: 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems, MODELS 2019 UR - https://doi.org/10.1109/MODELS.2019.000-8 KW - Service-oriented architecture KW - real-time behaviour KW - model-based design KW - automotive architectures Y1 - 2019 UR - https://doi.org/10.1109/MODELS.2019.000-8 SN - 978-1-7281-2536-7 SP - 128 EP - 138 PB - IEEE CY - Los Alamitos ER - TY - CHAP A1 - Obergfell, Philipp A1 - Kugele, Stefan A1 - Segler, Christoph A1 - Knoll, Alois A1 - Sax, Eric T1 - Continuous Software Engineering of Innovative Automotive Functions BT - an Industrial Perspective T2 - Proceedings: 2019 IEEE International Conference on Software Architecture Companion, ICSA-C 2019 UR - https://doi.org/10.1109/ICSA-C.2019.00030 KW - automotive KW - agile KW - process KW - continuous integration KW - continuous delivery Y1 - 2019 UR - https://doi.org/10.1109/ICSA-C.2019.00030 SN - 978-1-7281-1876-5 SP - 127 EP - 128 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Segler, Christoph A1 - Kugele, Stefan A1 - Obergfell, Philipp A1 - Osman, Mohd Hafeez A1 - Shafaei, Sina A1 - Sax, Eric A1 - Knoll, Alois T1 - Evaluation of feature selection for anomaly detection in automotive E/E architectures T2 - Proceedings: 2019 IEEE/ACM 41st International Conference on Software Engineering: Companion Proceedings: ICSE-Companion 2019 UR - https://doi.org/10.1109/ICSE-Companion.2019.00104 KW - feature selection KW - anomaly detection KW - automotive KW - E/E architecture Y1 - 2019 UR - https://doi.org/10.1109/ICSE-Companion.2019.00104 SN - 978-1-7281-1764-5 SN - 2574-1934 SP - 260 EP - 261 PB - IEEE CY - Piscataway ER - TY - JOUR A1 - Kugele, Stefan A1 - Obergfell, Philipp A1 - Sax, Eric T1 - Model-based resource analysis and synthesis of service-oriented automotive software architectures JF - Software and Systems Modeling N2 - Context Automotive software architectures describe distributed functionality by an interaction of software components. One drawback of today’s architectures is their strong integration into the onboard communication network based on predefined dependencies at design time. The idea is to reduce this rigid integration and technological dependencies. To this end, service-oriented architecture offers a suitable methodology since network communication is dynamically established at run-time. Aim We target to provide a methodology for analysing hardware resources and synthesising automotive service-oriented architectures based on platform-independent service models. Subsequently, we focus on transforming these models into a platform-specific architecture realisation process following AUTOSAR Adaptive. Approach For the platform-independent part, we apply the concepts of design space exploration and simulation to analyse and synthesise deployment configurations, i. e., mapping services to hardware resources at an early development stage. We refine these configurations to AUTOSAR Adaptive software architecture models representing the necessary input for a subsequent implementation process for the platform-specific part. Result We present deployment configurations that are optimal for the usage of a given set of computing resources currently under consideration for our next generation of E/E architecture. We also provide simulation results that demonstrate the ability of these configurations to meet the run time requirements. Both results helped us to decide whether a particular configuration can be implemented. As a possible software toolchain for this purpose, we finally provide a prototype. Conclusion The use of models and their analysis are proper means to get there, but the quality and speed of development must also be considered. UR - https://doi.org/10.1007/s10270-021-00896-9 KW - Service-oriented architecture KW - Real-time behaviour KW - Model-based design KW - Automotive architectures Y1 - 2021 UR - https://doi.org/10.1007/s10270-021-00896-9 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-11098 SN - 1619-1374 VL - 20 IS - 6 SP - 1945 EP - 1975 PB - Springer CY - Berlin ER - TY - CHAP A1 - Kugele, Stefan A1 - Obergfell, Philipp A1 - Sax, Eric ED - Grunske, Lars ED - Siegmund, J. ED - Vogelsang, A. T1 - Model-based resource analysis and synthesis of service-oriented automotive software architectures T2 - Software Engineering 2022 N2 - This summary refers to the paper Model-based resource analysis and synthesis of serviceoriented automotive software architectures [KOS21]. This paper has been published in the Journal on Software and Systems Modeling (SoSyM) in September 2021. UR - https://doi.org/10.18420/se2022-ws-017 KW - Automotive KW - Service-oriented architecture KW - Real-time behaviour KW - Model-based design Y1 - 2022 UR - https://doi.org/10.18420/se2022-ws-017 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-19500 SN - 978-3-88579-714-2 SP - 55 EP - 56 PB - Gesellschaft für Informatik CY - Bonn ER -