AndroR2: A Dataset of Manually Reproduced Bug Reports for Android Applications

TL;DR

This paper introduces ANDROR2, a comprehensive dataset of 90 manually reproduced Android bug reports, including detailed reproduction resources, to support research in mobile app bug analysis and maintenance.

Contribution

The paper provides the first systematically collected, manually verified dataset of real-world Android bug reports with reproduction resources for benchmarking and research.

Findings

Dataset includes 90 bug reports with reproduction scripts

Contains APK files and metadata for each report

Facilitates research in bug analysis and fixing for mobile apps

Abstract

Software maintenance constitutes a large portion of the software development lifecycle. To carry out maintenance tasks, developers often need to understand and reproduce bug reports. As such, there has been increasing research activity coalescing around the notion of automating various activities related to bug reporting. A sizable portion of this research interest has focused on the domain of mobile apps. However, as research around mobile app bug reporting progresses, there is a clear need for a manually vetted and reproducible set of real-world bug reports that can serve as a benchmark for future work. This paper presents ANDROR2: a dataset of 90 manually reproduced bug reports for Android apps listed on Google Play and hosted on GitHub, systematically collected via an in-depth analysis of 459 reports extracted from the GitHub issue tracker. For each reproduced report, ANDROR2 includes the original bug report, an apk file for the buggy version of the app, an executable reproduction script, and metadata regarding the quality of the reproduction steps associated with the original report. We believe that the ANDROR2 dataset can be used to facilitate research in automatically analyzing, understanding, reproducing, localizing, and fixing bugs for mobile applications as well as other software maintenance activities more broadly.