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首页> 外文期刊>International journal of open source software & processes >Mining Software Repositories for Revision Age-Based Co-Change Probability Prediction
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Mining Software Repositories for Revision Age-Based Co-Change Probability Prediction

机译：用于修订年龄的变化概率预测的挖掘软件存储库

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摘要

Changeability is an important aspect of software maintenance and helps in better planning of development and testing resources. Early detection of change-prone entities is beneficial in terms of both time and money and helps to estimate and meet deadlines reliably. Co-change prediction identifies the affected entities when implementing a change in the software system. Recent researches recommend the use of revision history for the identification of co-changed artifacts. However, very few studies are available for investigation of the effect of history size and age on prediction results. This manuscript studies the effect of age of change history on co-change prediction results in software applications by varying the weightage of change commits with time. ROC analysis is done to study the accuracy of the proposed approach, and the results indicate that the older change commits have lower significance in deriving the changeability pattern. The derived change impact set will be useful for software practitioners in change implementation and selective regression testing.
机译：可变性是软件维护的一个重要方面，并有助于更好地规划开发和测试资源。早期检测变革易于实体在时间和金钱方面有益，并有助于估计和达到截止日期。协调预测在实现软件系统的变化时识别受影响的实体。最近的研究建议使用修订历史来识别共同改变的伪影。然而，很少有研究可用于调查历史规模和年龄对预测结果的影响。该稿件通过改变变化的重量随着时间的推移，改变变化预测的变化历史时代的变化历史效果。 ROC分析是为了研究所提出的方法的准确性，结果表明，较旧的变化犯下在导出可变性模式方面具有较低的意义。派生的变化影响集可用于改变实施和选择性回归测试的软件从业者。

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