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• W195013088 abstract "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 resources. Therefore, test cases need to be generated in a systematic 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 testing knowledge, which takes significant effort to add new parameters. 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" @default.
• W195013088 created "2016-06-24" @default.
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• W195013088 creator A5037332714 @default.
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• W195013088 date "2010-01-01" @default.
• W195013088 modified "2023-09-27" @default.
• W195013088 title "Ontology-Based Test Case Generation For Simulating Complex Production Automation Systems." @default.
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• W195013088 hasPublicationYear "2010" @default.
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