The Technical Debt Dataset
收藏arXiv2019-08-02 更新2024-06-21 收录
下载链接：
https://github.com/clowee/The-Technical-Debt-Dataset
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资源简介：
The Technical Debt Dataset是由芬兰坦佩雷大学创建的一个精选数据集，包含33个Apache软件基金会Java项目的技术债务相关数据。数据集详细分析了所有提交，使用SonarQube和Ptidej等工具收集技术债务信息，并通过Refactoring Miner和SZZ算法处理代码重构和错误信息。此数据集旨在为技术债务研究提供一个共同的数据基础，以便研究人员能够在相同项目上比较结果，探索技术债务的多样性及其对软件维护的影响。
The Technical Debt Dataset is a curated dataset created by Tampere University in Finland, containing technical debt-related data from 33 Java projects hosted by the Apache Software Foundation. The dataset conducts a detailed analysis of all commits, collects technical debt information using tools such as SonarQube and Ptidej, and processes code refactoring and defect information via Refactoring Miner and the SZZ algorithm. This dataset aims to provide a shared data foundation for technical debt research, enabling researchers to compare results across the same projects, explore the diversity of technical debt and its impacts on software maintenance.
提供机构：
坦佩雷大学，芬兰
创建时间：
2019-08-02
