Sunghun, Kim; Zimmermann, Thomas; Miryung, Kim; Hassan, Ahmed; Mockus, Audris; Gîrba, Tudor; Pinzger, Martin; Whitehead, James; Zeller, Andreas (2006). TA-RE: An Exchange Language for Mining Software Repositories. In: International Conference on Software Engineering. Proceedings of the 2006 international workshop on Mining software repositories (pp. 22-25). New York: Association for Computing Machinery ACM 10.1145/1137983.1137990
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Software repositories have been getting a lot of attention from researchers in recent years. In order to analyze software repositories, it is necessary to first extract raw data from the version control and problem tracking systems. This poses two challenges: (1) extraction requires a non-trivial effort, and (2) the results depend on the heuristics used during extraction. These challenges burden researchers that are new to the community and make it difficult to benchmark software repository mining since it is almost impossible to reproduce experiments done by another team. In this paper we present the TA-RE corpus. TA-RE collects extracted data from software repositories in order to build a collection of projects that will simplify extraction process. Additionally the collection can be used for benchmarking. As the first step we propose an exchange language capable of making sharing and reusing data as simple as possible.
Item Type: |
Conference or Workshop Item (Paper) |
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Division/Institute: |
08 Faculty of Science > Institute of Computer Science (INF) 08 Faculty of Science > Institute of Computer Science (INF) > Software Composition Group (SCG) [discontinued] |
UniBE Contributor: |
Girba, Tudor Adrian |
Subjects: |
000 Computer science, knowledge & systems 500 Science > 510 Mathematics |
ISBN: |
1-59593-397-2 |
Publisher: |
Association for Computing Machinery ACM |
Language: |
English |
Submitter: |
Factscience Import |
Date Deposited: |
04 Oct 2013 14:47 |
Last Modified: |
08 Jan 2023 00:23 |
Publisher DOI: |
10.1145/1137983.1137990 |
BORIS DOI: |
10.7892/boris.19409 |
URI: |
https://boris.unibe.ch/id/eprint/19409 (FactScience: 2016) |