{"title":"机器学习在软件测试中的新应用","authors":"L. Briand","doi":"10.1109/QSIC.2008.29","DOIUrl":null,"url":null,"abstract":"Machine learning techniques have long been used for various purposes in software engineering. This paper provides a brief overview of the state of the art and reports on a number of novel applications I was involved with in the area of software testing. Reflecting on this personal experience, I draw lessons learned and argue that more research should be performed in that direction as machine learning has the potential to significantly help in addressing some of the long-standing software testing problems.","PeriodicalId":6446,"journal":{"name":"2008 The Eighth International Conference on Quality Software","volume":"44 1","pages":"3-10"},"PeriodicalIF":0.0000,"publicationDate":"2008-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"59","resultStr":"{\"title\":\"Novel Applications of Machine Learning in Software Testing\",\"authors\":\"L. Briand\",\"doi\":\"10.1109/QSIC.2008.29\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Machine learning techniques have long been used for various purposes in software engineering. This paper provides a brief overview of the state of the art and reports on a number of novel applications I was involved with in the area of software testing. Reflecting on this personal experience, I draw lessons learned and argue that more research should be performed in that direction as machine learning has the potential to significantly help in addressing some of the long-standing software testing problems.\",\"PeriodicalId\":6446,\"journal\":{\"name\":\"2008 The Eighth International Conference on Quality Software\",\"volume\":\"44 1\",\"pages\":\"3-10\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-08-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"59\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 The Eighth International Conference on Quality Software\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/QSIC.2008.29\",\"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 The Eighth International Conference on Quality Software","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/QSIC.2008.29","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Novel Applications of Machine Learning in Software Testing
Machine learning techniques have long been used for various purposes in software engineering. This paper provides a brief overview of the state of the art and reports on a number of novel applications I was involved with in the area of software testing. Reflecting on this personal experience, I draw lessons learned and argue that more research should be performed in that direction as machine learning has the potential to significantly help in addressing some of the long-standing software testing problems.