{"title":"对软件工程活动进行更好的推理","authors":"T. Menzies, J. Kiper","doi":"10.1109/ASE.2001.989836","DOIUrl":null,"url":null,"abstract":"Software management oracles often contain numerous subjective features. At each subjective point, a range of behaviors is possible. Stochastic simulation samples a subset of the possible behaviors. After many such stochastic simulations, the TAR2 treatment learner can find control actions that have (usually) the same impact despite the subjectivity of the oracle.","PeriodicalId":433615,"journal":{"name":"Proceedings 16th Annual International Conference on Automated Software Engineering (ASE 2001)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"Better reasoning about software engineering activities\",\"authors\":\"T. Menzies, J. Kiper\",\"doi\":\"10.1109/ASE.2001.989836\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Software management oracles often contain numerous subjective features. At each subjective point, a range of behaviors is possible. Stochastic simulation samples a subset of the possible behaviors. After many such stochastic simulations, the TAR2 treatment learner can find control actions that have (usually) the same impact despite the subjectivity of the oracle.\",\"PeriodicalId\":433615,\"journal\":{\"name\":\"Proceedings 16th Annual International Conference on Automated Software Engineering (ASE 2001)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-11-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings 16th Annual International Conference on Automated Software Engineering (ASE 2001)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ASE.2001.989836\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 16th Annual International Conference on Automated Software Engineering (ASE 2001)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASE.2001.989836","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Better reasoning about software engineering activities
Software management oracles often contain numerous subjective features. At each subjective point, a range of behaviors is possible. Stochastic simulation samples a subset of the possible behaviors. After many such stochastic simulations, the TAR2 treatment learner can find control actions that have (usually) the same impact despite the subjectivity of the oracle.
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