Data mining for software engineering

Tao Xie, Suresh Thummalapenta, David Lo, Chao Liu

Research output: Contribution to specialist publicationArticle

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.

Original languageEnglish (US)
Pages55-62
Number of pages8
Volume42
No8
Specialist publicationComputer
DOIs
StatePublished - 2009

Keywords

  • Classification algorithms
  • Computational intelligence
  • Data mining
  • Design and test
  • Heuristic algorithms
  • Pattern matching
  • Software
  • Software algorithms
  • Software engineering

ASJC Scopus subject areas

  • Computer Science(all)

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  • Cite this

    Xie, T., Thummalapenta, S., Lo, D., & Liu, C. (2009). Data mining for software engineering. Computer, 42(8), 55-62. https://doi.org/10.1109/MC.2009.256