{"title":"进化测试模型学习中交叉和突变对繁殖的影响","authors":"Michal Sroka, Dominik Fisch, R. Nagy","doi":"10.1109/SISY.2016.7601515","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":193153,"journal":{"name":"2016 IEEE 14th International Symposium on Intelligent Systems and Informatics (SISY)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Impact of crossover and mutation on reproduction in evolutionary test model learning\",\"authors\":\"Michal Sroka, Dominik Fisch, R. Nagy\",\"doi\":\"10.1109/SISY.2016.7601515\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":193153,\"journal\":{\"name\":\"2016 IEEE 14th International Symposium on Intelligent Systems and Informatics (SISY)\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE 14th International Symposium on Intelligent Systems and Informatics (SISY)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SISY.2016.7601515\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 14th International Symposium on Intelligent Systems and Informatics (SISY)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SISY.2016.7601515","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Impact of crossover and mutation on reproduction in evolutionary test model learning
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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