Bringing a Continuous Integration and Delivery Pipeline into MoVES
2023 (English)In: Int. Conf. Electr., Comput. Energy Technol., ICECET, Institute of Electrical and Electronics Engineers Inc. , 2023Conference paper, Published paper (Refereed)
Abstract [en]
The increasing complexity of modern automotive software systems has prompted the development and adoption of various model-based methodologies. One such methodology is MoVes, which provides automated support for identifying design solutions that meet timing requirements, thus enhancing the cost-efficiency of automotive software development. To further enhance the cost-efficiency of the automotive software development process, we propose the integration of a continuous integration and delivery pipeline into MoVes. In addition to reduce manual tasks, this extension offers several improvements over traditional continuous integration and delivery pipelines with respect to the performance, parallel execution and distribution of the pipeline. We begin by discussing the overarching design of the pipeline, followed by its practical implementation using GitHub Actions. Subsequently, we validate the effectiveness of our pipeline through a use case involving brake-by-wire and wiper motor functionalities in automotive systems. Finally, we describe the research challenges encountered during this process and provide an outline of future research aimed at further enhancing the pipeline.
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2023.
Keywords [en]
automotive software, DevOps, Model-based development, Cost effectiveness, Efficiency, Integration, Software design, Automated support, Automotive software systems, Continuous integrations, Cost-efficiency, Design solutions, Model based development, Model-based OPC, Software development process, Timing requirements, Pipelines
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:mdh:diva-69533DOI: 10.1109/ICECET58911.2023.10389472Scopus ID: 2-s2.0-85187251077ISBN: 9798350327816 (print)OAI: oai:DiVA.org:mdh-69533DiVA, id: diva2:1921827
Conference
International Conference on Electrical, Computer and Energy Technologies, ICECET 2023
2024-12-172024-12-172025-10-10Bibliographically approved