Text mining for software engineering: how analyst feedback impacts final results

Authors:
Jane Huffman Hayes;Alex Dekhtyar;Senthil Sundaram
Affiliations:
University of Kentucky;University of Kentucky;University of Kentucky
Venue:
MSR '05 Proceedings of the 2005 international workshop on Mining software repositories
Year:
2005

Citing 2
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Abstract

The mining of textual artifacts is requisite for many important activities in software engineering: tracing of requirements; retrieval of components from a repository; location of manpage text for an area of question, etc. Many such activities leave the "final word" to the analyst --- have the relevant items been retrieved? are there other items that should have been retrieved? When analysts become a part of the text mining process, their decisions on the relevance of retrieved elements impact the final outcome of the activity. In this paper, we undertook a pilot study to examine the impact of analyst decisions on the final outcome of a task.