{"title":"A Framework for Automated Combinatorial Test Generation, Execution, and Fault Characterization","authors":"Joshua Bonn, Konrad Foegen, H. Lichter","doi":"10.1109/ICSTW.2019.00057","DOIUrl":null,"url":null,"abstract":"Fault characterization is an important part of combinatorial testing, enabling it to automatically narrow down failed test inputs to specific failure-inducing combinations. As most current fault characterization algorithms adaptively generate more test inputs based on previous test execution results, a framework that integrates modelling, generation, execution, and fault characterization is necessary. Until now, no such framework exists, resulting in much manual work needed to identify failureinducing combinations.We therefore introduce COFFEe, which is a framework for completely automatic combinatorial testing and fault characterization. In this paper, we derive an architecture for the framework and present coffee4j, a Java implementation of COFFEe that integrates the JUnit5 test framework.","PeriodicalId":310230,"journal":{"name":"2019 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSTW.2019.00057","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15
Abstract
Fault characterization is an important part of combinatorial testing, enabling it to automatically narrow down failed test inputs to specific failure-inducing combinations. As most current fault characterization algorithms adaptively generate more test inputs based on previous test execution results, a framework that integrates modelling, generation, execution, and fault characterization is necessary. Until now, no such framework exists, resulting in much manual work needed to identify failureinducing combinations.We therefore introduce COFFEe, which is a framework for completely automatic combinatorial testing and fault characterization. In this paper, we derive an architecture for the framework and present coffee4j, a Java implementation of COFFEe that integrates the JUnit5 test framework.