Challenges in data extraction from Open Source software repositories

Arvinder Kaur, Vidhi Vig
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引用次数: 2

Abstract

Open source softwares (OSS) are a boon to research and development. Their free access and availability of thousands of projects pushes research into new dimensions. But are these repositories actually helpful in quality research? Heterogeneous and incomplete data, lack of integration between repositories, performance and usability issues and lack of documentation are few factors that affect the quality of research in Open Source. In this paper, we lay down the difficulties experienced while working on extraction and analysis of data from open source repositories for quality research.
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从开源软件存储库中提取数据的挑战
开源软件(OSS)是研究和开发的福音。他们的免费访问和数千个项目的可用性将研究推向了新的维度。但是这些知识库真的对高质量的研究有帮助吗?异构和不完整的数据、存储库之间缺乏集成、性能和可用性问题以及缺乏文档是影响开源研究质量的几个因素。在本文中,我们列出了在为质量研究从开源存储库中提取和分析数据时遇到的困难。
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