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LINKSTER: Enabling Efficient Manual Inspection and Annotati...
LINKSTER: Enabling Efficient Manual Inspection and Annotation of Mined Data
Publication type:
inproceedings
Authors:
Abraham Bernstein
,
Christian Bird
,
Adrian Bachmann
,
Foyzur Rahman
Abstract:
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.
Title:
LINKSTER: Enabling Efficient Manual Inspection and Annotation of Mined Data
Type:
formal demonstration
Year:
2010
address:
Santa Fe, USA
month:
November
pages:
369--370
booktitle:
ACM SIGSOFT / FSE '10: Proceedings of the eighteenth International Symposium on the Foundations of Software Engineering
group:
ddis
actions