{"title":"探索单元测试套件的组成","authors":"B. Rompaey, S. Demeyer","doi":"10.1109/ASEW.2008.4686316","DOIUrl":null,"url":null,"abstract":"In agile software development, test code can considerably contribute to the overall source code size. Being a valuable asset both in terms of verification and documentation, the composition of a test suite needs to be well understood in order to identify opportunities as well as weaknesses for further evolution. In this paper, we argue that the visualization of structural characteristics is a viable means to support the exploration of test suites. Thanks to general agreement on a limited set of key test design principles, such visualizations are relatively easy to interpret. In particular, we present visualizations that support testers in (i) locating test cases; (ii) examining the relation between test code and production code; and (iii) studying the composition of and dependencies within test cases. By means of two case studies, we demonstrate how visual patterns help to identify key test suite characteristics.","PeriodicalId":215885,"journal":{"name":"2008 23rd IEEE/ACM International Conference on Automated Software Engineering - Workshops","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":"{\"title\":\"Exploring the composition of unit test suites\",\"authors\":\"B. Rompaey, S. Demeyer\",\"doi\":\"10.1109/ASEW.2008.4686316\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In agile software development, test code can considerably contribute to the overall source code size. Being a valuable asset both in terms of verification and documentation, the composition of a test suite needs to be well understood in order to identify opportunities as well as weaknesses for further evolution. In this paper, we argue that the visualization of structural characteristics is a viable means to support the exploration of test suites. Thanks to general agreement on a limited set of key test design principles, such visualizations are relatively easy to interpret. In particular, we present visualizations that support testers in (i) locating test cases; (ii) examining the relation between test code and production code; and (iii) studying the composition of and dependencies within test cases. By means of two case studies, we demonstrate how visual patterns help to identify key test suite characteristics.\",\"PeriodicalId\":215885,\"journal\":{\"name\":\"2008 23rd IEEE/ACM International Conference on Automated Software Engineering - Workshops\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-11-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"16\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 23rd IEEE/ACM International Conference on Automated Software Engineering - Workshops\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ASEW.2008.4686316\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 23rd IEEE/ACM International Conference on Automated Software Engineering - Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASEW.2008.4686316","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In agile software development, test code can considerably contribute to the overall source code size. Being a valuable asset both in terms of verification and documentation, the composition of a test suite needs to be well understood in order to identify opportunities as well as weaknesses for further evolution. In this paper, we argue that the visualization of structural characteristics is a viable means to support the exploration of test suites. Thanks to general agreement on a limited set of key test design principles, such visualizations are relatively easy to interpret. In particular, we present visualizations that support testers in (i) locating test cases; (ii) examining the relation between test code and production code; and (iii) studying the composition of and dependencies within test cases. By means of two case studies, we demonstrate how visual patterns help to identify key test suite characteristics.