IECON 2011 - 37th Annual Conference of the IEEE Industrial Electronics Society 2011
DOI: 10.1109/iecon.2011.6119280
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Automated test case generation approach for PLC control software exception handling using fault injection

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Cited by 29 publications
(9 citation statements)
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“…As model‐driven development is popular in the industrial automation domain , several model‐based test case generation approaches for PLC programs have been proposed . Enoiu et al proposed model‐based test suite generation for FBD programs.…”
Section: Related Workmentioning
confidence: 99%
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“…As model‐driven development is popular in the industrial automation domain , several model‐based test case generation approaches for PLC programs have been proposed . Enoiu et al proposed model‐based test suite generation for FBD programs.…”
Section: Related Workmentioning
confidence: 99%
“…Silva et al generated timed automata models from FBD programs to test whether the execution traces of the implementation conform to the traces of the specification model, using the UPPAAL TRON tool. Kormann and Vogel‐Heuser proposed an automated test case generation approach for PLC control software exception handling using fault injection . Their primary goal was not to generate test cases that achieve specific coverage criteria.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…This modeling allows a more detailed analysis and optimization of the structure of relations [1 1]. More recent work also takes software and electronics in addition to the mechanical components into account [12,13,14,15,16].…”
Section: State-of-the-artmentioning
confidence: 99%
“…This approach is also suitable for emulating component failures but it is focused on the simulation environment and not developed in order to meet PLC platform requirements (R1 ). In a previous work of this research group a model-implemented FI approach for plant automation has been implemented using a UML state chart simulation environment (Kormann and Vogel-Heuser (2011)). The FI depends on reaching a predefined state of the simulation, and thus a softwareimplemented FI is not possible (R1 ).…”
Section: Fi In Reactive Systemsmentioning
confidence: 99%