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Combining agile development and software product lines in automotive: challenges and recommendations

  • Software product lines (SPLs) are used throughout the automotive industry. SPLs help to manage the large number of variants and to improve quality by reuse. In order to develop high quality software faster, agile software development (ASD) practices are introduced. From both the research and the management point of view it is still not clear how these two approaches can be combined. We derive recommendations to combine ASD and SPLs based on challenges identified for an automotive specific model. This study combines the outcome of a literature review and a qualitative interview study with 16 practitioners from the automotive domain. We evaluate the results and analyze the relationship between ASD and SPLs in the automotive domain. Furthermore, we derive recommendations to combine ASD and SPLs based on challenges identified in the automotive domain. This study identifies 86 individual challenges. Important challenges address supplier collaboration and faster software release cycles without loss of quality. The identified challenges and the derived recommendations show that the combination of ASD and SPL in the automotive industry is promising but not trivial. There is a need for an automotive-specific approach that combines ASD and SPL.

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Metadaten
Name:Münch, Jürgen
DOI:https://doi.org/10.1109/ICE.2018.8436277
ISBN:978-1-5386-1469-3
Erschienen in:Conference proceedings ICE/IEEE ITMC : 2018 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC) : Stuttgart, 17.06. - 20.06.2018
Publisher:IEEE
Place of publication:Piscataway, NJ
Document Type:Conference Proceeding
Language:English
Year of Publication:2018
Tag:ASPLA model; agile methods; automative software development; software and system development process; software product line
Pagenumber:10
Dewey Decimal Classification:620 Ingenieurwissenschaften und Maschinenbau
Access Rights:Nein
Licence (German):License Logo  Lizenzbedingungen IEEE