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

ECU

Transition Based Modelling

GraphWalker

Software Testing

CANoe

Model-Based Testing

Controlled Experiment

Automotive Industry

Författare

Rashid Darwish

Chalmers, Data- och informationsteknik

Nakyanzi Lynnie Gwosuta

Chalmers, Data- och informationsteknik

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

ISBN

978-150906031-3