NDLI: Software Defect Identification Using Machine Learning Techniques

Content Provider	IEEE Xplore Digital Library
Author	Ceylan, E. Kutlubay, F.O. Bener, A.B.
Copyright Year	2006
Description	Author affiliation: Dept. of Comput. Eng., Bogazici Univ., Istanbul (Ceylan, E.; Kutlubay, F.O.; Bener, A.B.)
Abstract	Software engineering is a tedious job that includes people, tight deadlines and limited budgets. Delivering what customer wants involves minimizing the defects in the programs. Hence, it is important to establish quality measures early on in the project life cycle. The main objective of this research is to analyze problems in software code and propose a model that will help catching those problems earlier in the project life cycle. Our proposed model uses machine learning methods. Principal component analysis is used for dimensionality reduction, and decision tree, multi layer perceptron and radial basis functions are used for defect prediction. The experiments in this research are carried out with different software metric datasets that are obtained from real-life projects of three big software companies in Turkey. We can say that, the improved method that we proposed brings out satisfactory results in terms of defect prediction
Sponsorship	IEEE CPS
Starting Page	240
Ending Page	247
File Size	140804
Page Count	8
File Format	PDF
ISBN	0769525946
ISSN	10896503
DOI	10.1109/EUROMICRO.2006.56
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-29
Publisher Place	Croatia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Learning systems Costs Software metrics Machine learning Software quality Programming Software measurement Software engineering Software development management Testing
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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