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
Discipline
Software Engineering
Research Areas
Software and Cyber-Physical Systems
Publication
Computer
Volume
42
Issue
8
First Page
55
Last Page
62
ISSN
0018-9162
Identifier
10.1109/MC.2009.256
Publisher
IEEE Computer Society
Citation
XIE, Tao; Thummalapenta, Suresh; LO, David; and LIU, Chao.
Data Mining for Software Engineering. (2009). Computer. 42, (8), 55-62.
Available at: https://ink.library.smu.edu.sg/sis_research/763
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1109/MC.2009.256