Title
The Eclipse and Mozilla defect tracking dataset : a genuine dataset for mining bug information The Eclipse and Mozilla defect tracking dataset : a genuine dataset for mining bug information
Author
Faculty/Department
Faculty of Sciences. Mathematics and Computer Science
Publication type
conferenceObject
Publication
New York, N.Y. :IEEE, [*]
Subject
Computer. Automation
Source (book)
Proceedings MSR13 : 10th IEEE Working Conference on Mining Software Repositories, Piscataway, N.J., USA
ISBN - Hoofdstuk
978-1-4799-0345-0
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
Abstract
The analysis of bug reports is an important subfield within the mining software repositories community. It explores the rich data available in defect tracking systems to uncover interesting and actionable information about the bug triaging process. While bug data is readily accessible from systems like Bugzilla and JIRA, a common database schema and a curated dataset could significantly enhance future research because it allows for easier replication. Consequently, in this paper we propose the Eclipse and Mozilla Defect Tracking Dataset, a representative database of bug data, filtered to contain only genuine defects (i.e., no feature requests) and designed to cover the whole bug-triage life cycle (i.e., store all intermediate actions). We have used this dataset ourselves for predicting bug severity, for studying bug-fixing time and for identifying erroneously assigned components. Sharing these data with the rest of the community will allow for reproducibility, validation and comparison of the results obtained in bug-report analyses and experiments.
Handle