By Christian Bird, Adrian Bachmann, Foyzur Rahman, and Abraham Bernstein

Published in Demonstration Track, Proceedings of the 17th SIGSOFT Symposium on Foundations of Software Engineering

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.


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@INPROCEEDINGS{bird2010lee,
  author = {Christian Bird and Adrian Bachmann and Foyzur Rahman and Abraham
	Bernstein},
  title = {{Linkster: Enabling Efficient Manual Mining}},
  booktitle = {Demonstration Track, Proceedings of the 17th SIGSOFT Symposium on
	Foundations of Software Engineering},
  year = {2010},
  publisher = {ACM}
}

Linkster: Enabling Efficient Manual Mining (FSE 10)