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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