DocumentCode
2359215
Title
Mining Software Data
Author
Turhan, Burak ; Kutlubay, Onur
Author_Institution
Bogazici Univ., Istanbul
fYear
2007
fDate
17-20 April 2007
Firstpage
912
Lastpage
916
Abstract
Data mining techniques and machine learning methods are commonly used in several disciplines. It is possible that they could also provide a basis for quality assessment of software development processes and the final software product. Number of researches who employ such techniques and methods on software cost and effort estimation are increasing. This article provides a software quality perspective on data mining and machine learning applications, and explains the current research challenges that are related to incorporating these tools based on several metrics derived from the software development processes and the software itself.
Keywords
data mining; learning (artificial intelligence); software engineering; machine learning methods; quality assessment; software cost; software data mining; software development processes; software product; Application software; Costs; Data mining; Learning systems; Object oriented modeling; Programming; Quality management; Software metrics; Software quality; Software standards;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Engineering Workshop, 2007 IEEE 23rd International Conference on
Conference_Location
Istanbul
Print_ISBN
978-1-4244-0832-0
Electronic_ISBN
978-1-4244-0832-0
Type
conf
DOI
10.1109/ICDEW.2007.4401084
Filename
4401084
Link To Document