Data Mining for Software Engineering

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
Main Authors: XIE, Tao, Thummalapenta, Suresh, LO, David, LIU, Chao
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2009
Subjects:
Data mining
Software engineering
Design and test
Computational intelligence
Software Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/763
https://ink.library.smu.edu.sg/context/sis_research/article/1762/viewcontent/mco2009080055.pdf
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Institution: Singapore Management University
Language: English
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.

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