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An effective verification strategy for testing distributed automotive embedded software functions: A case study
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.
Scania AB, SWE.
2016 (English)In: Lecture Notes in Computer Science / [ed] Amasaki S.,Mikkonen T.,Felderer M.,Abrahamsson P.,Duc A.N.,Jedlitschka A., 2016, 233-248 p.Conference paper (Refereed)
Abstract [en]

Integration testing of automotive embedded software functions that are distributed across several Electronic Control Unit (ECU) system software modules is a complex and challenging task in today’s automotive industry. They neither have infinite resources, nor have the time to carry out exhaustive testing of these functions. On the other hand, the traditional approach of implementing an ad-hoc selection of test scenarios based on the testers’ experience typically leads to both test gaps and test redundancies. Here, we address this challenge by proposing a verification strategy that enhances the process in order to identify and mitigate such gaps and redundancies in automotive system software testing. This helps increase test coverage by taking more data-driven decisions for integration testing of the functions. The strategy was developed in a case study at a Swedish automotive company that involved multiple data collection steps. After static validation of the proposed strategy it was evaluated on one distributed automotive software function, the Fuel Level Display, and found to be both feasible and effective. © Springer International Publishing AG 2016.

Place, publisher, year, edition, pages
2016. 233-248 p.
Keyword [en]
Case study, Distributed automotive embedded software, Test coverage, Test process improvement, Verification strategy, Automotive industry, Computer software, Control systems, Embedded software, Integral equations, Integration testing, Process engineering, Redundancy, Verification, Automotive companies, Automotive software, Data driven decision, Electronic control units, Test process, Traditional approaches, Software testing
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:bth-13606DOI: 10.1007/978-3-319-49094-6_15ScopusID: 2-s2.0-84998996016ISBN: 9783319490939 (print)OAI: oai:DiVA.org:bth-13606DiVA: diva2:1056097
Conference
17th International Conference on Product-Focused Software Process Improvement, PROFES, Trondheim
Available from: 2016-12-14 Created: 2016-12-14 Last updated: 2016-12-14Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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More styles
Language
  • de-DE
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Output format
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