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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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

id	sg-smu-ink.sis_research-1762
record_format	dspace
spelling	sg-smu-ink.sis_research-17622018-04-30T04:01:01Z Data Mining for Software Engineering XIE, Tao Thummalapenta, Suresh LO, David LIU, Chao 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. 2009-08-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/763 info:doi/10.1109/MC.2009.256 https://ink.library.smu.edu.sg/context/sis_research/article/1762/viewcontent/mco2009080055.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Data mining Software engineering Design and test Computational intelligence Software Engineering
institution	Singapore Management University
building	SMU Libraries
continent	Asia
country	Singapore Singapore
content_provider	SMU Libraries
collection	InK@SMU
language	English
topic	Data mining Software engineering Design and test Computational intelligence Software Engineering
spellingShingle	Data mining Software engineering Design and test Computational intelligence Software Engineering XIE, Tao Thummalapenta, Suresh LO, David LIU, Chao Data Mining for Software Engineering
description	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.
format	text
author	XIE, Tao Thummalapenta, Suresh LO, David LIU, Chao
author_facet	XIE, Tao Thummalapenta, Suresh LO, David LIU, Chao
author_sort	XIE, Tao
title	Data Mining for Software Engineering
title_short	Data Mining for Software Engineering
title_full	Data Mining for Software Engineering
title_fullStr	Data Mining for Software Engineering
title_full_unstemmed	Data Mining for Software Engineering
title_sort	data mining for software engineering
publisher	Institutional Knowledge at Singapore Management University
publishDate	2009
url	https://ink.library.smu.edu.sg/sis_research/763 https://ink.library.smu.edu.sg/context/sis_research/article/1762/viewcontent/mco2009080055.pdf
_version_	1770570703915974656

Data Mining for Software Engineering

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