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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Symbolic Model-Based Testing for Industrial Automation Software
verfasst von : Sabrina von Styp, Liyong Yu
Erschienen in: Hardware and Software: Verification and Testing
Verlag: Springer International Publishing
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In industrial automation software controls systems whose failure can be critical and expensive. Testing this software is very crucial but so far done manually, an expensive and not very thorough method. Model-based testing is an emerging concept in computer science for automatically testing a real implementation. It uses a formal specification describing the system behaviour. This specification is the blue print against which an implementation is tested. This paper presents how to use model-based testing in industrial automation. In detail it shows how the known concepts such as sequential function charts, used in industrial automation to describe a system, can be translated to a format that is required for model-based testing, including an automatic derivation of test-cases and its execution. A concrete case study illustrates the strength of this approach.