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A Controlled Experiment on Coverage Maximization of Automated Model-Based Software Test Cases in the Automotive Industry

Rashid Darwish (Institutionen för data- och informationsteknik (Chalmers)) ; Nakyanzi Lynnie Gwosuta (Institutionen för data- och informationsteknik (Chalmers)) ; Richard Torkar
Proceedings - 10th IEEE International Conference on Software Testing, Verification and Validation, ICST 2017 p. 546-547. (2017)
[Konferensbidrag, refereegranskat]

© 2017 IEEE. In the automotive industry, as the complexity of electronic control units (ECUs) increase, there is a need for the creation of models that facilitate early tests to ensure functionality, but there is little guidance on how to write these tests in order to achieve maximum coverage. Our prototype CANoe+, which builds on the CANoe and GraphWalker tools, was evaluated against CANoe with regard to coverage maximization of generated test cases from the viewpoint of both software developers and software testers.

Nyckelord: Automotive Industry, CANoe, Controlled Experiment, ECU, Graph Theory, GraphWalker, Model-Based Testing, Software Testing, Transition Based Modelling

Denna post skapades 2017-07-18.
CPL Pubid: 250738


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Institutionen för data- och informationsteknik (GU) (GU)


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