基于Git日志的即时软件质量分析框架

Abstract

Abstract: Firstly, aiming at the problems that the existing technology could not automatically extract software repository, mark data, build quality analysis model and analyze software quality, we proposed a just-in-time quality analysis framework GIF for Python projects. Secondly, based on GIF, the top 10 most popular Python projects on GitHub were extracted and labeled, and three classical classifiers (logistic regression, naive Bayes and random forest) were used for experimental verification on the evaluation indexes of AUC and F₁ values. The experimental results show that GIF framework can identify software defects in Python projects immediately and effectively, it is an easy-to-use just-in-time software quality analysis framework.

Key words: software quality assurance, just-in-time software quality analysis, Python project, GIF framework

CLC Number:

TP311

HUANG Wei, HUANG Xiaohua, ZHANG Yuan, CHEN Xiang, QIAN Zhuzhong. Framework of Just-in-Time Software Quality Analysis Based on Git Log[J].Journal of Jilin University Science Edition, 2022, 60(1): 135-0142.

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Framework of Just-in-Time Software Quality Analysis Based on Git Log

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