2015
DOI: 10.4236/jsea.2015.89048
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Review of Model-Based Testing Approaches in Production Automation and Adjacent Domains—Current Challenges and Research Gaps

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… Show more

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Cited by 38 publications
(7 citation statements)
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“…To verify the models was used HPsim software, it was simulating each operating scenarios, verifying blocking, reachability and conservativity, among others model properties [27]. The final models showed no blockages, reachability or conservativity problems.…”
Section: P11 Emergency Signal From Stop Button P12 Emergency Signal From Stop Buttonmentioning
confidence: 99%
“…To verify the models was used HPsim software, it was simulating each operating scenarios, verifying blocking, reachability and conservativity, among others model properties [27]. The final models showed no blockages, reachability or conservativity problems.…”
Section: P11 Emergency Signal From Stop Button P12 Emergency Signal From Stop Buttonmentioning
confidence: 99%
“…Many advances are made in the area of model-based testing [3]. Here, tests can be generated from formal models based on UML specifications [4]- [6], which can be extended by using virtual commissioning techniques [7], [8] to include behavior regarding the controlled hardware and technical process in the factory automation system.…”
Section: Related Work In (Model-based) Testing Virtual Commissioning and Formal Verificationmentioning
confidence: 99%
“…Authors in [12] presented a survey related to model-based testing up to the current year 2015. This survey includes the current challenges and research gaps related to model-based testing in the field of computer science, software engineering, electrical engineering and other fields.…”
Section: Related Workmentioning
confidence: 99%