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| Type | Conference or Workshop Paper |
| Scope | Discipline-based scholarship |
| Published in Proceedings | Yes |
| Title | LINKSTER: enabling efficient manual inspection and annotation of mined data |
| Organization Unit | |
| Authors |
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| Presentation Type | paper |
| Item Subtype | Original Work |
| Refereed | Yes |
| Status | Published in final form |
| Language |
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| Page Range | 369 - 370 |
| Event Title | ACM SIGSOFT / FSE '10: eighteenth International Symposium on the Foundations of Software Engineering |
| Event Type | conference |
| Event Location | Santa Fe, USA |
| Event Start Date | November 7 - 2010 |
| Event End Date | November 11 - 2010 |
| Abstract Text | While many uses of mined software engineering data are automatic in nature, some techniques and studies either require, or can be improved, by manual methods. Unfortunately, manually inspecting, analyzing, and annotating mined data can be difficult and tedious, especially when information from multiple sources must be integrated. Oddly, while there are numerous tools and frameworks for automatically mining and analyzing data, there is a dearth of tools which facilitate manual methods. To fill this void, we have developed LINKSTER, a tool which integrates data from bug databases, source code repositories, and mailing list archives to allow manual inspection and annotation. LINKSTER has already been used successfully by an OSS project lead to obtain data for one empirical study. |
| Digital Object Identifier | 10.1145/1882291.1882352 |
| Other Identification Number | 1462 |
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