Data Mining for Software Engineering

Author

Tao XIE, North Carolina State University
Suresh Thummalapenta, North Carolina State University
David LO, Singapore Management UniversityFollow
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

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