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 f...
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ISBN:
(纸本)9781509034963
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 evolutionary learning method is investigated.
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 automat...
详细信息
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 the necessary test model automatically from sample test cases and additional sources of information is briefly described. This paper further investigates the impact of reproduction configuration on the evolutionary learning method.
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