Continuous Defect Prediction Dataset
收藏arXiv2017-06-22 更新2024-08-06 收录
下载链接：
http://arxiv.org/abs/1703.04142v2
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资源简介：
Continuous Defect Prediction Dataset是由弗罗茨瓦夫理工大学计算机科学与管理学院创建的大型数据集，包含超过1100万条数据，涵盖1265个软件项目和30022名开发者。数据集通过整合Travis CI服务器和GitHub开源项目的数据，提供软件过程指标，用于预测可能导致构建失败的软件变更。创建过程中，数据集利用TravisTorrent作为CI数据源，并扩展到文件变更级别，计算相关软件过程指标。该数据集主要应用于软件缺陷预测，帮助开发者实时评估代码变更的风险，优化持续集成流程。
The Continuous Defect Prediction Dataset is a large-scale dataset developed by the Faculty of Computer Science and Management, Wrocław University of Science and Technology. It contains over 11 million data entries, covering 1265 software projects and 30022 developers. By integrating data from Travis CI servers and GitHub open-source projects, this dataset provides software process metrics for predicting software changes that may cause build failures. During its construction, the dataset utilized TravisTorrent as the CI data source, extended the analysis to the file change level, and calculated relevant software process metrics. Primarily applied in software defect prediction, this dataset assists developers in evaluating code change risks in real time and optimizing continuous integration workflows.
提供机构：
弗罗茨瓦夫理工大学计算机科学与管理学院
创建时间：
2017-03-13
