Models for the evolution of OS projects

A. Capiluppi
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引用次数: 64

Abstract

Software evolution and maintenance is largely based on data gathered through years of experience: understanding and improving software is often a matter of how much data is available. Open source software offers the opportunity to analyze closely all the phases in the evolution of a project. What's more, data regarding its evolution is generally available for inspections. Based on simply code analyses, lots of questions about its efficiencies can't be resolved. It would be necessary to study the process from the inside, understanding who or what drove what improvement and so on. Still a quantitative analysis gives several insights about how much code is created and evolved by developers. This study takes a sample of 12 open source projects and gives some statistics to analyze their evolution. The purpose is here to compare what is commonly know in software evolution in traditional environments, and what happens instead in open environments.
OS项目发展的模型
软件的发展和维护很大程度上是基于通过多年的经验收集的数据:理解和改进软件通常是一个有多少数据可用的问题。开源软件提供了密切分析项目发展的所有阶段的机会。更重要的是,有关其演变的数据通常可供检查。基于简单的代码分析,许多关于其效率的问题无法解决。有必要从内部研究流程,了解是谁或什么推动了哪些改进等等。定量分析仍然提供了一些关于开发人员创建和改进了多少代码的见解。本研究选取了12个开源项目作为样本,并给出了一些统计数据来分析它们的发展。这里的目的是比较在传统环境中软件发展的一般情况,以及在开放环境中发生的情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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