DocumentCode
1289940
Title
Data Mining for Software Engineering
Author
Xie, Tao ; Thummalapenta, Suresh ; Lo, David ; Liu, Chao
Author_Institution
North Carolina State Univ., Raleigh, NC, USA
Volume
42
Issue
8
fYear
2009
Firstpage
55
Lastpage
62
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 quality; data graphs; data mining; data sequences; software engineering; software productivity; software quality; text mining; Cleaning; Clustering algorithms; Data engineering; Data mining; Databases; Debugging; Dynamic programming; Pattern matching; Software algorithms; Software engineering; Computational intelligence; Data mining; Design and test; Software engineering;
fLanguage
English
Journal_Title
Computer
Publisher
ieee
ISSN
0018-9162
Type
jour
DOI
10.1109/MC.2009.256
Filename
5197425
Link To Document