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We present a meta-analytical approach to identify highly correlated pairs of software engineering metrics with a focus on correlations across a large number of Java repositories. As result, we identified 47 distinct pairs representing the maximum correlation for each metric, highlighting the overlap of the information provided within the collected set of metrics.

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Meta-analysis of Correlations Between Software Engineering Metrics - The Case of Java

  • 会议论文

  • 发表日期：

    2025年

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  • Zamira Kholmatova,
  • Mikhail Rudakov,
  • Sofya Tkachenko

摘要

We present a meta-analytical approach to identify highly correlated pairs of software engineering metrics with a focus on correlations across a large number of Java repositories. As result, we identified 47 distinct pairs representing the maximum correlation for each metric, highlighting the overlap of the information provided within the collected set of metrics.