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Main Title: Traceability Analysis of a High-Level Automotive System Architecture Document
Author(s): Hild, Dennis
Beckmann, Martin
Vogelsang, Andreas
Type: Conference Object
Language Code: en
Abstract: More and more functions in automotive systems are enabled and controlled by software that is distributed over a large number of systems and components. In addition, the systems are more and more interconnected to implement the desired vehicle functions. Creating and maintaining a high-level overview of the relations between vehicle functions, systems, and components in a complete and consistent way requires a lot of effort. On the other hand, such a high-level architecture is beneficial for planning the development, analyzing the architecture, or defining product variants. In this paper, we analyze a real-world document that was manually created to document all vehicle functions, systems, and components of one car series and relations between these. We formalized the content of this model by providing a model of the concepts and a set of consistency rules. By evaluating the consistency rules on the given document, we found 213 contradictory relations and 547 missing relations. Based on these results, we conclude that manually maintaining such high-level architectures is highly error-prone and should thus be supported by automation and appropriate tooling.
Issue Date: 2019
Date Available: 4-Mar-2019
DDC Class: 004 Datenverarbeitung; Informatik
Subject(s): traceability
trace link recovery
Automotive System Architecture Analysis
Proceedings Title: Proceedings of the Workshops of the Software Engineering Conference 2019. Stuttgart, Germany, February 19, 2019
Publisher: RWTH
Publisher Place: Aachen
Page Start: 37
Page End: 44
Series: CEUR workshop proceedings
Series Number: 2308
ISSN: 1613-0073
Appears in Collections:FG IT-basierte Fahrzeuginnovationen » Publications

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