A Controlled Experiment on Coverage Maximization of Automated Model-Based Software Test Cases in the Automotive Industry
Paper i proceeding, 2017
© 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.
Graph Theory
Controlled Experiment
Model-Based Testing
GraphWalker
Software Testing
Automotive Industry
ECU
CANoe
Transition Based Modelling
Författare
Rashid Darwish
Student vid Chalmers
Nakyanzi Lynnie Gwosuta
Student vid Chalmers
Richard Torkar
Göteborgs universitet
Proceedings - 10th IEEE International Conference on Software Testing, Verification and Validation, ICST 2017
546-547
Ämneskategorier
Inbäddad systemteknik
DOI
10.1109/ICST.2017.65