{"title":"A Fuzzy Rule Based Approach for Test Case Selection Probability Estimation in Regression Testing","authors":"Leena Singh, S. Singh, S. Dawra, R. Tuli","doi":"10.1504/IJCAET.2020.10016172","DOIUrl":null,"url":null,"abstract":"Regression testing is a very essential activity during maintenance of software. Due to constraints of time and cost, it is not possible to re-execute every test case with respect to every change occurred. Thus, a technique is required that selects and prioritises the test cases efficiently. This paper proposes a novel fuzzy rule-based approach for selecting and ordering a number of test cases from an existing test suite to predict the selection probability of test cases using multiple factors. The test cases, which have ability to find high fault detection rate with maximum coverage and minimum execution time to test are selected. The results specify the effectiveness of the proposed model for predicting the selection probability of individual test cases.","PeriodicalId":38492,"journal":{"name":"International Journal of Computer Aided Engineering and Technology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Computer Aided Engineering and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJCAET.2020.10016172","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0
Abstract
Regression testing is a very essential activity during maintenance of software. Due to constraints of time and cost, it is not possible to re-execute every test case with respect to every change occurred. Thus, a technique is required that selects and prioritises the test cases efficiently. This paper proposes a novel fuzzy rule-based approach for selecting and ordering a number of test cases from an existing test suite to predict the selection probability of test cases using multiple factors. The test cases, which have ability to find high fault detection rate with maximum coverage and minimum execution time to test are selected. The results specify the effectiveness of the proposed model for predicting the selection probability of individual test cases.
期刊介绍:
IJCAET is a journal of new knowledge, reporting research and applications which highlight the opportunities and limitations of computer aided engineering and technology in today''s lifecycle-oriented, knowledge-based era of production. Contributions that deal with both academic research and industrial practices are included. IJCAET is designed to be a multi-disciplinary, fully refereed and international journal.