Zurich Open Repository and Archive University of Zurich University Library Strickhofstrasse 39 CH-8057 Zurich www.zora.uzh.ch Year: 2010 LINKSTER: enabling effcient manual inspection and annotation of mined data Bird, C ; Bachmann, A ; Rahman, F ; Bernstein, A 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 diffcult and tedious, especially when information from multiple sources must be integrated. Oddly, while there are numerous tools and frameworks for auto- matically mining and analyzing data, there is a dearth of tools which facilitate manual methods. To fll 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. DOI: https://doi.org/10.1145/1882291.1882352 Posted at the Zurich Open Repository and Archive, University of Zurich ZORA URL: https://doi.org/10.5167/uzh-44861 Conference or Workshop Item Originally published at: Bird, C; Bachmann, A; Rahman, F; Bernstein, A (2010). LINKSTER: enabling effcient manual inspec- tion and annotation of mined data. In: ACM SIGSOFT / FSE ’10: eighteenth International Symposium on the Foundations of Software Engineering, Santa Fe, USA, 7 November 2010 - 11 November 2010, 369-370. DOI: https://doi.org/10.1145/1882291.1882352