{"title":"采矿参数规范","authors":"Choonghwan Lee, Feng Chen, Grigore Roşu","doi":"10.1145/1985793.1985874","DOIUrl":null,"url":null,"abstract":"Specifications carrying formal parameters that are bound to concrete data at runtime can effectively and elegantly capture multi-object behaviors or protocols. Unfortunately, parametric specifications are not easy to formulate by nonexperts and, consequently, are rarely available. This paper presents a general approach for mining parametric specifications from program executions, based on a strict separation of concerns: (1) a trace slicer first extracts sets of independent interactions from parametric execution traces; and (2) the resulting non-parametric trace slices are then passed to any conventional non-parametric property learner. The presented technique has been implemented in jMiner, which has been used to automatically mine many meaningful and non-trivial parametric properties of OpenJDK 6.","PeriodicalId":412454,"journal":{"name":"2011 33rd International Conference on Software Engineering (ICSE)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"72","resultStr":"{\"title\":\"Mining parametric specifications\",\"authors\":\"Choonghwan Lee, Feng Chen, Grigore Roşu\",\"doi\":\"10.1145/1985793.1985874\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Specifications carrying formal parameters that are bound to concrete data at runtime can effectively and elegantly capture multi-object behaviors or protocols. Unfortunately, parametric specifications are not easy to formulate by nonexperts and, consequently, are rarely available. This paper presents a general approach for mining parametric specifications from program executions, based on a strict separation of concerns: (1) a trace slicer first extracts sets of independent interactions from parametric execution traces; and (2) the resulting non-parametric trace slices are then passed to any conventional non-parametric property learner. The presented technique has been implemented in jMiner, which has been used to automatically mine many meaningful and non-trivial parametric properties of OpenJDK 6.\",\"PeriodicalId\":412454,\"journal\":{\"name\":\"2011 33rd International Conference on Software Engineering (ICSE)\",\"volume\":\"84 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-05-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"72\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 33rd International Conference on Software Engineering (ICSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1985793.1985874\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 33rd International Conference on Software Engineering (ICSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1985793.1985874","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Specifications carrying formal parameters that are bound to concrete data at runtime can effectively and elegantly capture multi-object behaviors or protocols. Unfortunately, parametric specifications are not easy to formulate by nonexperts and, consequently, are rarely available. This paper presents a general approach for mining parametric specifications from program executions, based on a strict separation of concerns: (1) a trace slicer first extracts sets of independent interactions from parametric execution traces; and (2) the resulting non-parametric trace slices are then passed to any conventional non-parametric property learner. The presented technique has been implemented in jMiner, which has been used to automatically mine many meaningful and non-trivial parametric properties of OpenJDK 6.