遗传程序在预测变化和缺陷方面有多好?

2014 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing Pub Date : 2014-09-01 DOI:10.1109/SYNASC.2014.78

C. Marinescu

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引用次数: 16

摘要

从业者必须处理的主要问题之一是识别源代码实体(例如，类)的变更和缺陷倾向。在过去的几年里，许多技术被用于预测类的变化和缺陷倾向。在本文中，我们通过测量得到的预测的精度和召回率来研究遗传规划执行所处理问题的能力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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How Good Is Genetic Programming at Predicting Changes and Defects?

One of the main problems practitioners have to deal with is the identification of change and defect proneness of source code entities (e.g., Classes). During the last years a lot of techniques have been employed for predicting change and defect proneness of classes. In this paper we study the capabilities of Genetic Programming for performing the addressed problem by measuring the precision and recall of the obtained predictions.

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2014 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing

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