BugsRepo: A Comprehensive Curated Dataset of Bug Reports, Comments and Contributors Information from Bugzilla

Abstract

Bug reports help software development teams enhance software quality, yet their utility is often compromised by unclear or incomplete information. This issue not only hinders developers' ability to quickly understand and resolve bugs but also poses significant challenges for various software maintenance prediction systems, such as bug triaging, severity prediction, and bug report summarization. To address this issue, we introduce BugsRepo, a multifaceted dataset derived from Mozilla projects that offers three key components to support a wide range of software maintenance tasks.Our dataset includes a Bug report meta-data & Comments dataset with detailed records for 119,585 fixed or closed and resolved bug reports, capturing fields like severity, creation time, status, and resolution to provide rich contextual insights. Also, BugsRepo features a contributor information dataset comprising 19,351 Mozilla community members, enriched with metadata on user roles, activity history, and contribution metrics such as the number of bugs filed, comments made, and patches reviewed, thus offering valuable information for tasks like developer recommendation. This contributor data further enables future research into expert identification within specific software modules, analysis of collaboration networks, prediction of bug resolution times based on assignee profiles, and studies on the impact of contributor experience on bug report quality. Lastly, the dataset provides a structured bug report subset of 10,351 well-structured bug reports, complete with steps to reproduce, actual behavior, and expected behavior. After this initial filter, a secondary filtering layer is applied using the CTQRS scale with additional filtering based on the CTQRS scale, a framework that uses dependency parsing and rule-based indicators to automatically assess the quality of the bug report by evaluating their morphological, relational, and analytical properties. By integrating static metadata, contributor statistics, and detailed comment threads, BugsRepo presents a holistic view of each bug's history, supporting advancements in automated bug report analysis, which can enhance the efficiency and effectiveness of software maintenance processes.