Managing Software Complexity in Automotive SW Development

dc.contributor.author	Quante, Jochen
dc.contributor.author	Grundler, Thomas
dc.date.accessioned	2024-04-08T08:43:34Z
dc.date.available	2024-04-08T08:43:34Z
dc.description.abstract	In the last decades, software has become more and more important in the automotive domain. With features like autonomous driving and increasing connectivity, the software’s sheer volume has increased by an order of magnitude. This ever-growing complexity has to be accompanied by processes that limit its negative effect on maintainability. Also, the prospect of “end of combustion” demands reduction of development effort for combustion engine control software. In this paper, we report on our approach to control software complexity in the powertrain domain. We describe the basic idea for measuring and managing maintainability, the challenges on adopting such an approach in practice, like having to measure on different kinds of artifacts, and the factors that have lead to success.	en
dc.identifier.uri	https://dl.gi.de/handle/20.500.12116/43832
dc.language.iso	en
dc.subject	automotive
dc.subject	maintainability
dc.subject	complexity
dc.title	Managing Software Complexity in Automotive SW Development	en
dc.type	Text/Conference Paper
mci.conference.date	02.-04. Mai 2022
mci.conference.location	Bad Honnef
mci.conference.sessiontitle	24. Workshop Software-Reengineering und -Evolution WSRE
mci.reference.pages	45-46

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