A Controlled Experiment on Coverage Maximization of Automated Model-Based Software Test Cases in the Automotive Industry : A Short Report from an Experiment on Improving Functional Test Coverage Maximization in the Automotive Industry

• © 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.

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap -- Programvaruteknik (hsv//swe)

NATURAL SCIENCES  -- Computer and Information Sciences -- Software Engineering (hsv//eng)

Nyckelord

Automotive Industry

CANoe

Controlled Experiment

ECU

Graph Theory

GraphWalker

Model-Based Testing

Software Testing

Transition Based Modelling

Publikations- och innehållstyp

ref (ämneskategori)

kon (ämneskategori)