{"title":"The Atlassian Data Lake: consolidating enriched software development data in a single, queryable system","authors":"A. Friedman, Rohan Dhupelia, Ben Jackson","doi":"10.1109/MSR59073.2023.00045","DOIUrl":null,"url":null,"abstract":"Software teams are under continuous pressure to work effectively and achieve a high bar of performance. The data contained within software development lifecycle tools presents the opportunity to obtain visibility into DevOps metrics [12] , Flow metrics [17] , and other signals that provide insights into team effectiveness [14] . Such tool-based data can complement other information sources, such as employee surveys, towards a comprehensive picture of organization and team health [13] . Moreover, managing work across multiple teams requires a high level of visibility into the work of those teams, to inform decisions on team velocity, resource allocation, and return on investment. Since much of the work is conducted in software development tools, they are an essential source for consolidating and presenting a clear picture of that work. As organizations strive to rip the benefits that location flexibility offers for employee outcomes [3] and shift to hybrid or remote work, the reliance on software development tools to obtain that level of visibility is likely to increase.","PeriodicalId":317960,"journal":{"name":"2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR)","volume":"300 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MSR59073.2023.00045","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Software teams are under continuous pressure to work effectively and achieve a high bar of performance. The data contained within software development lifecycle tools presents the opportunity to obtain visibility into DevOps metrics [12] , Flow metrics [17] , and other signals that provide insights into team effectiveness [14] . Such tool-based data can complement other information sources, such as employee surveys, towards a comprehensive picture of organization and team health [13] . Moreover, managing work across multiple teams requires a high level of visibility into the work of those teams, to inform decisions on team velocity, resource allocation, and return on investment. Since much of the work is conducted in software development tools, they are an essential source for consolidating and presenting a clear picture of that work. As organizations strive to rip the benefits that location flexibility offers for employee outcomes [3] and shift to hybrid or remote work, the reliance on software development tools to obtain that level of visibility is likely to increase.