{"title":"Boa:分析超大规模代码语料库","authors":"Robert Dyer, H. Nguyen, Hridesh Rajan, T. Nguyen","doi":"10.1145/2384716.2384752","DOIUrl":null,"url":null,"abstract":"Software repositories contain an enormous amount of information such as revisions and bugs. Analyzing this data requires knowledge in mining software repositories and a large amount of infrastructure. We present our infrastructure Boa to ease such analyses. Our results show writing analyses with our framework is simpler and executes faster.","PeriodicalId":194590,"journal":{"name":"ACM SIGPLAN International Conference on Systems, Programming, Languages and Applications: Software for Humanity","volume":"78 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Boa: analyzing ultra-large-scale code corpus\",\"authors\":\"Robert Dyer, H. Nguyen, Hridesh Rajan, T. Nguyen\",\"doi\":\"10.1145/2384716.2384752\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Software repositories contain an enormous amount of information such as revisions and bugs. Analyzing this data requires knowledge in mining software repositories and a large amount of infrastructure. We present our infrastructure Boa to ease such analyses. Our results show writing analyses with our framework is simpler and executes faster.\",\"PeriodicalId\":194590,\"journal\":{\"name\":\"ACM SIGPLAN International Conference on Systems, Programming, Languages and Applications: Software for Humanity\",\"volume\":\"78 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-10-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM SIGPLAN International Conference on Systems, Programming, Languages and Applications: Software for Humanity\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2384716.2384752\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM SIGPLAN International Conference on Systems, Programming, Languages and Applications: Software for Humanity","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2384716.2384752","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Software repositories contain an enormous amount of information such as revisions and bugs. Analyzing this data requires knowledge in mining software repositories and a large amount of infrastructure. We present our infrastructure Boa to ease such analyses. Our results show writing analyses with our framework is simpler and executes faster.