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Vorträge und Posterpräsentationen (mit Tagungsband-Eintrag):

T Moser, D. Winkler, M. Heindl, S. Biffl:
"Automating the Detection of Complex Semantic Conflicts between Software Requirements";
Vortrag: 23rd International Conference on Software Engineering and Knowledge Engineering (SEKE 2011), Eden Roc Renaissance Hotel Miami Beach, USA; 07.07.2011 - 09.07.2011; in: "Proceedings of 23rd International Conference on Software Engineering and Knowledge Engineering (SEKE 2011)", M. Sadjadi (Hrg.); (2011), ISBN: 1-891706-29-2; S. 729 - 735.



Kurzfassung englisch:
The behavior of complex production automation systems is hard to predict, therefore simulation is used to study the likely system behavior. However, in a real-world system many parameter variants need to be tested with limited re-sources. Therefore, test cases need to be generated in a syste-matic way to find suitable scenarios efficiently. This paper investigates the effort of two approaches for providing test cases based on available testing knowledge. The traditional approach uses a static generator script based on implicit test-ing knowledge, which takes significant effort to add new pa-rameters. The innovative approach uses a dynamic generic generator script based on an ontology data model of the testing knowledge. We empirically evaluate these approaches with a use case from the production automation domain. Major result is that the high-level test description of the ontology-based approach takes more initial effort for setup, but increases the usability and reduces the risk of errors during the test case generation process.

Schlagworte:
test case generation, ontology, production automation simulation, explicit testing knowledge.

Erstellt aus der Publikationsdatenbank der Technischen Universitšt Wien.