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Sökning: id:"swepub:oai:research.chalmers.se:02273702-404a-4ad0-85f8-c5a44c050429" > Identifying Redunda...

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

Bisht, Rohini (författare)
Gothenburg University,Göteborgs universitet,Institutionen för data- och informationsteknik (GU),Department of Computer Science and Engineering (GU)
Kindu Ejigu, Selomie (författare)
Gothenburg University,Göteborgs universitet,Institutionen för data- och informationsteknik (GU),Department of Computer Science and Engineering (GU)
Gay, Gregory, 1987 (författare)
Gothenburg University,Göteborgs universitet,Institutionen för data- och informationsteknik (GU),Department of Computer Science and Engineering (GU)
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Filipovikj, Predrag (författare)
Scania CV AB
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 (creator_code:org_t)
2023
2023
Engelska.
Ingår i: 2023 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW). - 2159-4848. - 9798350333350 ; , s. 131-139
  • Konferensbidrag (refereegranskat)
Abstract Ämnesord
Stäng  
  • 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 Deviating cases were also identified where, e.g., requirements were outdated or contained incorrect details.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.

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap -- Programvaruteknik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Software Engineering (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Inbäddad systemteknik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Embedded Systems (hsv//eng)

Nyckelord

Embedded System
Traceability
Automotive Software
Testing Process
software testing
Software Testing
Embedded System
Automotive Software
Testing Process
Traceability

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