Text Mining for a Clear Picture of Defect Reports: A Praxis Report

Authors:
Jutta Kreyss;Steve Selvaggio;Michael White;Zach Zakharian
Affiliations:
-;-;-;-
Venue:
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Year:
2003

Citing 1
Cited 1

A decision-tree-based symbolic rule induction system for text categorization

IBM Systems Journal

Master defect record retrieval using network-based feature association

IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews

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Abstract

We applied the text mining categorization technology,in the publicly available, IBM Enterprise InformationPortal V8.1 to more than 15,000 customer reported,product problem records. We used a proven softwarequality category set to categorize these problem recordsinto different areas of interest. Our intent was to developa clear picture of potential areas for quality improvementin each of the software products reviewed, and to providethis information to development's management.The paper presents the benefits that can be gained fromcategorizing problem records, as well as the limitations.