ApacheJIT
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资源简介：
ApacheJIT是一个大型数据集，用于即时缺陷预测，包含流行Apache项目中的干净和引发错误的软件变更。该数据集共有106,674次提交，其中28,239次为引发错误的提交，78,435次为干净提交。
ApacheJIT is a large-scale dataset for just-in-time defect prediction, which contains clean and bug-inducing software changes from popular Apache projects. This dataset consists of 106,674 commits in total, among which 28,239 are bug-inducing commits and 78,435 are clean commits.
创建时间：
2022-03-01
