Studying the evolution of open source systems at different levels of granularity: two case studies

A. Capiluppi, J. Fernández-Ramil
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引用次数: 48

Abstract

This work presents a study of several evolutionary attributes of two open source software systems: the distributed file system Arla and the stable branch of the Web browser Mozilla. The attributes (size, activity rate and complexity) are visualized over releases using measures at various levels of granularity: folders, files and procedures. A number of hypotheses about the evolutionary behaviour of the systems are considered and, in general, supported by the data from the 2 systems.
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在不同粒度级别上研究开源系统的发展:两个案例研究
这项工作展示了两个开源软件系统的几个演化属性的研究:分布式文件系统Arla和Web浏览器Mozilla的稳定分支。属性(大小、活动率和复杂性)通过使用不同粒度级别(文件夹、文件和过程)的度量来可视化。考虑了许多关于系统进化行为的假设,并且通常由两个系统的数据支持。
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Aiding comprehension of cloning through categorization Studying the evolution of open source systems at different levels of granularity: two case studies Automating software evolution Foundations for evolutionary construction of state transition models Co-evolution of complementary formal and informal requirements
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