DATA MINING FOR SOFTWARE ENGINEERING

被引：56

作者：

Xie, Tao ^{[1
]}

Thummalapenta, Suresh ^{[1
]}

Lo, David ^{[2
]}

Liu, Chao ^{[3
]}

机构：

[1] N Carolina State Univ, Dept Comp Sci, Raleigh, NC 27695 USA

[2] Singapore Management Univ, Sch Informat Syst, Singapore, Singapore

[3] Microsoft Res, Redmond, WA USA

来源：

COMPUTER | 2009年 / 42卷 / 08期

关键词：

Classification algorithms; Computational intelligence; Data mining; Design and test; Heuristic algorithms; Pattern matching; Software; Software algorithms; Software engineering;

D O I：

10.1109/MC.2009.256

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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. © 2009 IEEE.

引用

页码：55 / 62

页数：8

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