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

Conference paper
Authors Rashid Darwish
Lynnie Nakyanzi Gwosuta
Richard Torkar
Published in Proceedings - 10th IEEE International Conference on Software Testing, Verification and Validation, ICST 2017
ISBN 978-1-5090-6031-3
Publication year 2017
Published at Institutionen för data- och informationsteknik, Software Engineering (GU)
Language en
Links ieeexplore.ieee.org/document/792801...
Keywords Automotive Industry, CANoe, Controlled Experiment, ECU, Graph Theory, GraphWalker, Model-Based Testing, Software Testing, Transition Based Modelling
Subject categories Software Engineering

Abstract

© 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.

Page Manager: Webmaster|Last update: 9/11/2012
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