{"title":"挖掘现代代码评审存储库:人、过程和产品的数据集","authors":"Xin Yang, R. Kula, Norihiro Yoshida, Hajimu Iida","doi":"10.1145/2901739.2903504","DOIUrl":null,"url":null,"abstract":"In this paper, we present a collection of Modern Code Review data for five open source projects. The data showcases mined data from both an integrated peer review system and source code repositories. We present an easy–to–use andricher data structure to retrieve the 1.) People 2.) Process and 3.) Product aspects of the peer review. This paperpresents the extraction methodology, the dataset structure, and a collection of database dumps.","PeriodicalId":6621,"journal":{"name":"2016 IEEE/ACM 13th Working Conference on Mining Software Repositories (MSR)","volume":"60 1","pages":"460-463"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"51","resultStr":"{\"title\":\"Mining the Modern Code Review Repositories: A Dataset of People, Process and Product\",\"authors\":\"Xin Yang, R. Kula, Norihiro Yoshida, Hajimu Iida\",\"doi\":\"10.1145/2901739.2903504\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present a collection of Modern Code Review data for five open source projects. The data showcases mined data from both an integrated peer review system and source code repositories. We present an easy–to–use andricher data structure to retrieve the 1.) People 2.) Process and 3.) Product aspects of the peer review. This paperpresents the extraction methodology, the dataset structure, and a collection of database dumps.\",\"PeriodicalId\":6621,\"journal\":{\"name\":\"2016 IEEE/ACM 13th Working Conference on Mining Software Repositories (MSR)\",\"volume\":\"60 1\",\"pages\":\"460-463\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-05-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"51\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE/ACM 13th Working Conference on Mining Software Repositories (MSR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2901739.2903504\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE/ACM 13th Working Conference on Mining Software Repositories (MSR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2901739.2903504","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Mining the Modern Code Review Repositories: A Dataset of People, Process and Product
In this paper, we present a collection of Modern Code Review data for five open source projects. The data showcases mined data from both an integrated peer review system and source code repositories. We present an easy–to–use andricher data structure to retrieve the 1.) People 2.) Process and 3.) Product aspects of the peer review. This paperpresents the extraction methodology, the dataset structure, and a collection of database dumps.