Data for Common Sense-Violating Bugs Empirical Study

Data for Common Sense-Violating Bugs Empirical Study Research Context Paper Title: An Empirical Study on Common Sense-Violating Bugs in Mobile Apps Authors: Fu Fan, Yanjie Jiang, Tianyi Chen, Hengshun Zhang, Yuxia Zhang, Nan Niu, Hui Liu Publication: ACM Transactions on Software Engineering and Methodology Data Description We release these parts of data from our empirical study: The automatically collected issue dataset File: collected_issues.json The dataset consists of 33,650 issue reports retrieved from open-source Android applications. The JSON data is structured as a list of entries, where each entry includes the issue report's URL, title, body, and additional metadata. The bug reports analyzed manually in our study File: analyzed_issues.csv This list contains 5,342 bug reports we have manually analyzed. The column "label" could be: "Invalid" (excluded, not a valid bug report); "Negative" (the bug do not violate common sense); "Positive" (common sense-violating bug). The first 130 issues are selected from Andror2+ dataset with the same filtering strategy when constructing our dataset. The common sense principles violated by the bugs with taxonomy File: common-sense-principles.json 358 common sense principles concluded from our study. Each principle is categorized by its level-1 and level-2 categories and includes links to the corresponding violating bugs. Application Error Message Classification Dataset File: error_messages_dataset.csv This dataset includes 202 text samples with labels, some of which are derived from real-world bug reports. The issue reports were retrieved in November 2022 using the GitHub API. The remaining data were generated through manual analysis. Last Update: 2024-12-10