moreBugs: A New Dataset for Benchmarking Algorithms for Information Retrieval from Soft ware Repositories
Year: 2013
Type: article
Abstract: This report presents moreBugs, a new publicly available dataset derived from the AspectJ and JodaTime repositories for the benchmarking of algorithms for retrieval from software repositories. As a case in point, moreBugs contains all the information required to evaluate a search-based bug localization framework — it includes a set of closed/resolved bugs mined from the bug-tracking system, and, for each bug, its patch-file list and the corresponding snapshot of the repository extracted from version history. moreBugs tracks commit-level changes made to a software repository along with its release information. In addition to the benchmarking of bug localization algorithms, the other algorithms whose benchmarking moreBugs should prove useful for include: change detection, impact analysis, software evolution, vocabulary evolution, incremental learning, and so on.
Authors: Shivani Rao, Avinash C. Kak
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W81409973