机器学习方法在源代码质量预测上的应用
首发时间:2018-04-10
摘要:本文研究当前源代码的质量的检测方法,并探索了机器学习算法在软件源代码代码质量以及安全特性方面的应用。以公共数据MDP数据集为预测的训练数据,尝试使用weka搭建的算法模型作为工具,用训练好的模型对数据进行测试分类。找出机器学习算法中的最佳预测算法。
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Machine Learning Methods in Source Code Quality Prediction
Abstract:In this paper,the author studied the current method of detecting the quality of source code and explores the application of machine learning algorithms in software source code code quality and security features. Using the public data MDP dataset as the predictive training data, and tried to use the weka-built algorithm model as a tool. We used the trained model to test and classify the data, and found the best prediction algorithm in the machine learning algorithm.
Keywords: machine learning source code Weka algorithm model code quality prediction
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