Software bug report dataset from Eclipse projects
In recent decades, the analysis of data from software projects including source control systems, defect tracking systems, and code review repositories has greatly improved our understanding of software development and its evolution. How ever, obtaining this information can be time-consuming, and the...
| Autores: | , , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2025 |
| País: | España |
| Institución: | Universidad de Sevilla (US) |
| Repositorio: | idUS. Depósito de Investigación de la Universidad de Sevilla |
| OAI Identifier: | oai:idus.us.es:11441/180675 |
| Acceso en línea: | https://hdl.handle.net/11441/180675 https://doi.org/10.1016/j.dib.2025.112016 |
| Access Level: | acceso abierto |
| Palabra clave: | Bug report Bug extraction Software Mining software repository Bug report extraction tool |
| Sumario: | In recent decades, the analysis of data from software projects including source control systems, defect tracking systems, and code review repositories has greatly improved our understanding of software development and its evolution. How ever, obtaining this information can be time-consuming, and the extracted data is not always well-maintained. This paper introduces an extensive dataset generated from Bugzilla repositories, focusing on key products from the Eclipse bug-tracking system. This dataset addresses the need for up-to- date data in existing repositories, preserving crucial historical information that may be lost due to the transition from Bugzilla to newer bug-tracking systems like Jira or GitHub Is- sues. Our dataset includes 301,378 bug reports along with all related information, organised into different folders that indicate the project in which the bug was filed. Additionally, we present a custom and lightweight Command Line Interface (CLI) tool designed to efficiently extract detailed information from Bugzilla repositories, automating data collection across various Bugzilla instances. The dataset and tool can be utilized for defect prediction, software maintenance, and evolutionary analysis. To the best of our knowledge, this is the largest, most complete, and up-to-date dataset of Eclipse bug reports available. |
|---|