Issue No.08 - August (2009 vol.42)
Suresh Thummalapenta , North Carolina State University
David Lo , Singapore Management University
Chao Liu , Microsoft Research
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MC.2009.256
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.
Data mining, Software engineering, Design and test, Computational intelligence
Suresh Thummalapenta, David Lo, Chao Liu, "Data Mining for Software Engineering", Computer, vol.42, no. 8, pp. 55-62, August 2009, doi:10.1109/MC.2009.256