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Article
Data Mining for Software Engineering
Computer
  • Tao XIE, North Carolina State University
  • Suresh Thummalapenta, North Carolina State University
  • David LO, Singapore Management University
  • Chao LIU, Microsoft Research
Publication Type
Journal Article
Version
publishedVersion
Publication Date
8-2009
Abstract

To improve software productivity and quality, software engineers are increasingly applying data mining algorithms to various software engineering tasks. However, mining SE data poses several challenges. The authors present various algorithms to effectively mine sequences, graphs, and text from such data.

Keywords
  • Data mining,
  • Software engineering,
  • Design and test,
  • Computational intelligence
Identifier
10.1109/MC.2009.256
Publisher
IEEE Computer Society
Creative Commons License
Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International
Additional URL
https://doi.org/10.1109/MC.2009.256
Citation Information
Tao XIE, Suresh Thummalapenta, David LO and Chao LIU. "Data Mining for Software Engineering" Computer Vol. 42 Iss. 8 (2009) p. 55 - 62 ISSN: 0018-9162
Available at: http://works.bepress.com/david_lo/12/