{"title":"RapidRelease - A Dataset of Projects and Issues on Github with Rapid Releases","authors":"Saket Joshi, S. Chimalakonda","doi":"10.1109/MSR.2019.00088","DOIUrl":null,"url":null,"abstract":"In the recent years, there has been a surge in the adoption of agile development model and continuous integration (CI) in software development. Recent trends have reduced average release cycle lengths to as low as 1-2 weeks, leading to an extensive number of studies in release engineering. Open-source development (OSD) has also witnessed a rapid increase in release rates, however, no large dataset of open-source projects exists which features high release rates. In this paper, we introduce the RapidRelease dataset, a data showcase of high release frequency open-source projects. The dataset hosts 994 projects from Github, with over 2 million issue reports. To the best of our knowledge, this is the first dataset that can facilitate researchers to empirically study release engineering and agile software development in open-source projects with rapid releases.","PeriodicalId":6706,"journal":{"name":"2019 IEEE/ACM 16th International Conference on Mining Software Repositories (MSR)","volume":"47 1","pages":"587-591"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE/ACM 16th International Conference on Mining Software Repositories (MSR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MSR.2019.00088","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 16
Abstract
In the recent years, there has been a surge in the adoption of agile development model and continuous integration (CI) in software development. Recent trends have reduced average release cycle lengths to as low as 1-2 weeks, leading to an extensive number of studies in release engineering. Open-source development (OSD) has also witnessed a rapid increase in release rates, however, no large dataset of open-source projects exists which features high release rates. In this paper, we introduce the RapidRelease dataset, a data showcase of high release frequency open-source projects. The dataset hosts 994 projects from Github, with over 2 million issue reports. To the best of our knowledge, this is the first dataset that can facilitate researchers to empirically study release engineering and agile software development in open-source projects with rapid releases.
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