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Automation in the software testing process has significant impact on the overall software development in industry. The focus of this paper is on automation of test case design via model-based testing for automotive embedded software. A new method based on an evolutionary algorithm for acquiring the necessary test model automatically from sample test cases(More)
Testing and debugging automotive cyber physical systems are challenging. Developing and integrating cyber and physical components require extensive testing to ensure reliable and safe releases. One important cost factor in the debugging process is the time required to analyze failures. Since large number of failures usually happen due to a few underlying(More)
Automation in the software test design process has a significant impact on the software testing process and therefore also on the overall software development in the industry. The focus of this paper is on the automation of test case design via model-based testing for automotive embedded software. A method based on an evolutionary algorithm for acquiring(More)
The focus of this paper is on automation of test case design via model-based testing for automotive embedded software. A method based on an evolutionary algorithm for acquiring the necessary test model automatically from sample test cases and additional sources of information is described. In an experiment the impact of localised mutational changes on the(More)
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