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Contribution Details

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
  • C Bird
  • A Bachmann
  • F Rahman
  • Abraham Bernstein
Presentation Type paper
Item Subtype Original Work
Refereed Yes
Status Published in final form
  • English
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; merlin-id:7
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