@inproceedings{SeglerKugeleObergfelletal.2019, author = {Segler, Christoph and Kugele, Stefan and Obergfell, Philipp and Osman, Mohd Hafeez and Shafaei, Sina and Sax, Eric and Knoll, Alois}, title = {Anomaly Detection for Advanced Driver Assistance Systems Using Online Feature Selection}, booktitle = {2019 IEEE Intelligent Vehicles Symposium (IV)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-7281-0560-4}, doi = {https://doi.org/10.1109/IVS.2019.8814175}, pages = {578 -- 585}, year = {2019}, language = {en} } @inproceedings{ObergfellKugeleSax2019, author = {Obergfell, Philipp and Kugele, Stefan and Sax, Eric}, title = {Model-Based Resource Analysis and Synthesis of Service-Oriented Automotive Software Architectures}, booktitle = {Proceedings: 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems, MODELS 2019}, publisher = {IEEE}, address = {Los Alamitos}, isbn = {978-1-7281-2536-7}, doi = {https://doi.org/10.1109/MODELS.2019.000-8}, pages = {128 -- 138}, year = {2019}, language = {en} } @inproceedings{ObergfellKugeleSegleretal.2019, author = {Obergfell, Philipp and Kugele, Stefan and Segler, Christoph and Knoll, Alois and Sax, Eric}, title = {Continuous Software Engineering of Innovative Automotive Functions}, booktitle = {Proceedings: 2019 IEEE International Conference on Software Architecture Companion, ICSA-C 2019}, subtitle = {an Industrial Perspective}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-7281-1876-5}, doi = {https://doi.org/10.1109/ICSA-C.2019.00030}, pages = {127 -- 128}, year = {2019}, language = {en} } @inproceedings{SeglerKugeleObergfelletal.2019, author = {Segler, Christoph and Kugele, Stefan and Obergfell, Philipp and Osman, Mohd Hafeez and Shafaei, Sina and Sax, Eric and Knoll, Alois}, title = {Evaluation of feature selection for anomaly detection in automotive E/E architectures}, booktitle = {Proceedings: 2019 IEEE/ACM 41st International Conference on Software Engineering: Companion Proceedings: ICSE-Companion 2019}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-7281-1764-5}, issn = {2574-1934}, doi = {https://doi.org/10.1109/ICSE-Companion.2019.00104}, pages = {260 -- 261}, year = {2019}, language = {en} } @article{KugeleObergfellSax2021, author = {Kugele, Stefan and Obergfell, Philipp and Sax, Eric}, title = {Model-based resource analysis and synthesis of service-oriented automotive software architectures}, volume = {20}, journal = {Software and Systems Modeling}, number = {6}, publisher = {Springer}, address = {Berlin}, issn = {1619-1374}, doi = {https://doi.org/10.1007/s10270-021-00896-9}, pages = {1945 -- 1975}, year = {2021}, abstract = {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.}, language = {en} } @inproceedings{KugeleObergfellSax2022, author = {Kugele, Stefan and Obergfell, Philipp and Sax, Eric}, title = {Model-based resource analysis and synthesis of service-oriented automotive software architectures}, booktitle = {Software Engineering 2022}, editor = {Grunske, Lars and Siegmund, J. and Vogelsang, A.}, publisher = {Gesellschaft f{\"u}r Informatik}, address = {Bonn}, isbn = {978-3-88579-714-2}, doi = {https://doi.org/10.18420/se2022-ws-017}, pages = {55 -- 56}, year = {2022}, abstract = {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.}, language = {en} }