Release Pattern Discovery: A Case Study of Database Systems

2007 IEEE International Conference on Software Maintenance Pub Date : 2007-10-22 DOI:10.1109/ICSM.2007.4362641

Abram Hindle, Michael W. Godfrey, R. Holt

{"title":"Release Pattern Discovery: A Case Study of Database Systems","authors":"Abram Hindle, Michael W. Godfrey, R. Holt","doi":"10.1109/ICSM.2007.4362641","DOIUrl":null,"url":null,"abstract":"Studying the release-time activities of a software project - that is, activities that occur around the time of a major or minor release - can provide insights into both the development processes used and the nature of the system itself. Although tools rarely record detailed logs of developer behavior, we can infer release-time activities from available data, such as logs from revision control systems, bug tracking systems, etc. In this paper, we discuss the results of a case study in mining patterns of release-time behavior from the revision control systems of four open source database systems. We partitioned the development artifacts into four classes - source code, tests, build files, and documentation - to be able to characterize the behavioral patterns more precisely. We found, for example, that there were consistent activity patterns around release time within each of the individual projects; we also found that these patterns did not persist across systems, leading us to hypothesize that the four projects follow different but consistent development patterns of activity around releases.","PeriodicalId":263470,"journal":{"name":"2007 IEEE International Conference on Software Maintenance","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IEEE International Conference on Software Maintenance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSM.2007.4362641","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 15

Abstract

Studying the release-time activities of a software project - that is, activities that occur around the time of a major or minor release - can provide insights into both the development processes used and the nature of the system itself. Although tools rarely record detailed logs of developer behavior, we can infer release-time activities from available data, such as logs from revision control systems, bug tracking systems, etc. In this paper, we discuss the results of a case study in mining patterns of release-time behavior from the revision control systems of four open source database systems. We partitioned the development artifacts into four classes - source code, tests, build files, and documentation - to be able to characterize the behavioral patterns more precisely. We found, for example, that there were consistent activity patterns around release time within each of the individual projects; we also found that these patterns did not persist across systems, leading us to hypothesize that the four projects follow different but consistent development patterns of activity around releases.

查看原文本刊更多论文

发布模式发现:数据库系统的案例研究

研究软件项目的发布时活动——也就是说，在主要或次要发布期间发生的活动——可以提供对所使用的开发过程和系统本身性质的洞察。虽然工具很少记录开发人员行为的详细日志，但是我们可以从可用的数据中推断出发布时的活动，例如来自修订控制系统、bug跟踪系统等的日志。在本文中，我们讨论了从四个开源数据库系统的版本控制系统中挖掘发布时行为模式的案例研究结果。我们将开发工件划分为四个类——源代码、测试、构建文件和文档——以便能够更精确地描述行为模式。例如，我们发现，在每个单独的项目中，围绕发布时间存在一致的活动模式;我们还发现这些模式并没有跨系统持续存在，这导致我们假设这四个项目遵循不同但一致的围绕发布活动的开发模式。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

2007 IEEE International Conference on Software Maintenance

自引率

0.00%

发文量