First International Workshop on Emerging Trends in FLOSS Research and Development (FLOSS'07: ICSE Workshops 2007)最新文献

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Large-Scale Code Reuse in Open Source Software 开源软件中的大规模代码重用
A. Mockus
{"title":"Large-Scale Code Reuse in Open Source Software","authors":"A. Mockus","doi":"10.1109/FLOSS.2007.10","DOIUrl":"https://doi.org/10.1109/FLOSS.2007.10","url":null,"abstract":"We are exploring the practice of large-scale reuse involving at least a group of source code files. Our research question is to determine the extent of such reuse occurring in open source projects, to identify the code that is reused the most, and to investigate patterns of large-scale reuse. We start by identifying a sample of projects involving all code in several large repositories of open source projects, all projects bundled with popular distributions of Linux and BSD, and several large individual projects. In the next step we obtain the source code and identify groups of files reused among projects and determine the code that is most widely reused in our sample. Our findings indicate that more than 50% of the files were used in more than one project. The most widely reused components were small and represented templates requiring major and minor modifications and a group of files reused without any change. Some widely reused components involved hundreds of files.","PeriodicalId":383068,"journal":{"name":"First International Workshop on Emerging Trends in FLOSS Research and Development (FLOSS'07: ICSE Workshops 2007)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124662764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 121
Coupling Patterns in the Effective Reuse of Open Source Software 开源软件有效重用中的耦合模式
A. Capiluppi, C. Boldyreff
{"title":"Coupling Patterns in the Effective Reuse of Open Source Software","authors":"A. Capiluppi, C. Boldyreff","doi":"10.1109/FLOSS.2007.4","DOIUrl":"https://doi.org/10.1109/FLOSS.2007.4","url":null,"abstract":"Albeit practical reuse approaches have been established in commercial environments, the open source software (OSS) communities have not yet taken full advantage of the reuse mechanism. Many OSS projects, sharing the same application domain and topic, duplicate effort and code, without fully leveraging the vast amounts of available code. In order to fill these gaps, this study focuses on source code folders of OSS projects: the objective is to investigate their potential as shareable and small-grained reusable software components in other OSS projects.","PeriodicalId":383068,"journal":{"name":"First International Workshop on Emerging Trends in FLOSS Research and Development (FLOSS'07: ICSE Workshops 2007)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131825645","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 16
Do Programming Languages Affect Productivity? A Case Study Using Data from Open Source Projects 编程语言会影响生产力吗?使用开源项目数据的案例研究
Daniel P. Delorey, C. Knutson, S. Chun
{"title":"Do Programming Languages Affect Productivity? A Case Study Using Data from Open Source Projects","authors":"Daniel P. Delorey, C. Knutson, S. Chun","doi":"10.1109/FLOSS.2007.5","DOIUrl":"https://doi.org/10.1109/FLOSS.2007.5","url":null,"abstract":"Brooks and others long ago suggested that on average computer programmers write the same number of lines of code in a given amount of time regardless of the programming language used. We examine data collected from the CVS repositories of 9,999 open source projects hosted on SourceForge.net to test this assumption for 10 of the most popular programming languages in use in the open source community. We find that for 24 of the 45 pairwise comparisons, the programming language is a significant factor in determining the rate at which source code is written, even after accounting for variations between programmers and projects.","PeriodicalId":383068,"journal":{"name":"First International Workshop on Emerging Trends in FLOSS Research and Development (FLOSS'07: ICSE Workshops 2007)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122799467","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 39
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