Validating Automotive Control Software Using Instrumentation-Based Verification
This paper discusses the results of an application of a formally based verification technique, called Instrumentation-Based Verification (IBV), to a production automotive lighting controller. The goal of the study is to assess, from both a tools as well as a methodological perspective, the performan...
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| Vydáno v: | 2009 IEEE/ACM International Conference on Automated Software Engineering s. 15 - 25 |
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| Hlavní autoři: | , , , , , |
| Médium: | Konferenční příspěvek |
| Jazyk: | angličtina |
| Vydáno: |
IEEE
01.11.2009
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| Témata: | |
| ISBN: | 1424452597, 9781424452590 |
| ISSN: | 1938-4300 |
| On-line přístup: | Získat plný text |
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| Abstract | This paper discusses the results of an application of a formally based verification technique, called Instrumentation-Based Verification (IBV), to a production automotive lighting controller. The goal of the study is to assess, from both a tools as well as a methodological perspective, the performance of IBV in an industrial setting. The insights obtained as a result of the project include a refinement of a previously developed architecture for requirements specifications; observations about changes to model-based design workflows; insights into the role of requirements during development; and the capability of automated verification to detect inconsistencies among requirements as well as between requirements and design models. |
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| AbstractList | This paper discusses the results of an application of a formally based verification technique, called Instrumentation-Based Verification (IBV), to a production automotive lighting controller. The goal of the study is to assess, from both a tools as well as a methodological perspective, the performance of IBV in an industrial setting. The insights obtained as a result of the project include a refinement of a previously developed architecture for requirements specifications; observations about changes to model-based design workflows; insights into the role of requirements during development; and the capability of automated verification to detect inconsistencies among requirements as well as between requirements and design models. |
| Author | Ray, A. Morschhaeuser, I. Ackermann, C. Shelton, C. Martin, C. Cleaveland, R. |
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| SubjectTerms | Automatic control Automotive engineering Educational institutions Instruments Lighting control Mathematical model Monitoring Production Software engineering USA Councils |
| Title | Validating Automotive Control Software Using Instrumentation-Based Verification |
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