违反常识的移动应用漏洞实证研究数据集

本数据集为移动应用常识违反类缺陷实证研究的数据成果，包含自动采集的33650条Android应用开源项目问题报告、5342条人工分析的缺陷报告、358条带分类体系的常识原则及202条错误消息分类样本，支持软件缺陷检测与常识违反类缺陷的研究分析。 论文“An Empirical Study on Common Sense-Violating Bugs in Mobile Apps”（发表于ACM Transactions on Software Engineering and Methodology）

This dataset is the research outcome of an empirical study on common sense-violating defects in mobile applications. It contains 33,650 automatically collected issue reports from open-source Android application projects, 5,342 manually analyzed defect reports, 358 common sense principles with a classification system, and 202 error message classification samples, supporting research and analysis on software defect detection and common sense-violating defects. The paper titled "An Empirical Study on Common Sense-Violating Bugs in Mobile Apps" was published in ACM Transactions on Software Engineering and Methodology.