TITLE:
Review of Model-Based Testing Approaches in Production Automation and Adjacent Domains—Current Challenges and Research Gaps
AUTHORS:
Susanne Rösch, Sebastian Ulewicz, Julien Provost, Birgit Vogel-Heuser
KEYWORDS:
Model-Based Testing, Automated Production Systems, Conformance Testing, Regression Testing, Fault Injection, Survey
JOURNAL NAME:
Journal of Software Engineering and Applications,
Vol.8 No.9,
September
30,
2015
ABSTRACT: As production automation systems have been
and are becoming more and more complex, the task of quality assurance is
increasingly challenging. Model-based testing is a research field addressing
this challenge and many approaches have been suggested for different
applications. The goal of this paper is to review these approaches regarding
their suitability for the domain of production automation in order to identify
current trends and research gaps. The different approaches are classified and
clustered according to their main focus which is either testing and test case
generation from some form of model automatons, test case generation from
models used within the development process of production automation systems,
test case generation from fault models or test case selection and regression
testing.