Data Mining for Software Engineering

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...

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Bibliographic Details
Published in:Computer (Long Beach, Calif.) Calif.), 2009-08, Vol.42 (8), p.55-62
Main Authors: Tao Xie, Thummalapenta, S., Lo, D., Chao Liu
Format: Article
Language:English
Subjects:
Algorithms
Cleaning
Clustering algorithms
Computational intelligence
Computer programming
Computer programs
Data engineering
Data mining
Debugging
Design and test
Dynamic programming
Life cycles
Pattern matching
Productivity
Software
Software algorithms
Software engineering
Tasks
Texts
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Description
Summary: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.
ISSN:0018-9162
1558-0814
DOI:10.1109/MC.2009.256