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Identifying Redundancies and Gaps Across Testing Levels During Verification of Automotive Software | IEEE Conference Publication | IEEE Xplore

Identifying Redundancies and Gaps Across Testing Levels During Verification of Automotive Software


Abstract:

Testing of automotive systems usually follows the V-Model, a process where sequential testing activities progress from low-level code structures to high-level integrated ...Show More

Abstract:

Testing of automotive systems usually follows the V-Model, a process where sequential testing activities progress from low-level code structures to high-level integrated systems. In theory, the V-Model should reduce redundant testing and prevent gaps in verification. To assess whether such benefits translate in practice, in a case study at Scania CV AB, we have developed a framework to identify redundancies and gaps in test cases across V-model test levels.Our framework identified both redundancies and gaps in Sca-nia’s scripted testing efforts. Deviating cases were also identified where, e.g., requirements were outdated or contained incorrect details. Factors contributing to redundancy include re-verification in a new context, difficulties mapping requirements across levels, and lack of test case documentation. Both redundancies and gaps result from a lack of communication and traceability of test results across test levels. We recommend active collaboration across levels, as well as use of coverage matrices to alleviate these issues. We offer our framework to help refine testing practices and to inspire process improvements.
Date of Conference: 16-20 April 2023
Date Added to IEEE Xplore: 29 May 2023
ISBN Information:
Print on Demand(PoD) ISSN: 2159-4848
Conference Location: Dublin, Ireland

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