Title
Improving model-based testing in automotive software engineering.
Abstract
Testing is crucial to successfully engineering reliable automotive software. The manual derivation of test cases from ambiguous textual requirements is costly and error-prone. Model-based development can reduce the test case derivation effort by capturing requirements in structured models from which test cases can be generated with reduced effort. To facilitate the automated test case derivation at BMW, we conducted an anonymous survey among its testing practitioners and conceived a model-based improvement of the testing activities. The new model-based test case derivation extends BMW's SMArDT method with automated generation of tests, which addresses many of the practitioners' challenges uncovered through our study. This ultimately can facilitate quality assurance for automotive software.
Year
DOI
Venue
2018
10.1145/3183519.3183533
ICSE (SEIP)
Keywords
Field
DocType
Model-Based Testing, Test Case Creation
Unified Modeling Language,Systems engineering,Computer science,Automotive software engineering,Model-based testing,Software,Test case,Automotive software,Quality assurance
Conference
ISBN
Citations 
PageRank 
978-1-4503-5659-6
0
0.34
References 
Authors
14
10