NDLI: Assuring Software Quality using data mining methodology: A literature study

Content Provider	IEEE Xplore Digital Library
Author	Singh, A. Singh, R.
Copyright Year	2013
Description	Author affiliation: Dept. of Comput. Sci., BSA Coll. of Eng. & Technol., Mathura, India (Singh, A.; Singh, R.)
Abstract	Software Quality is the very popular and a very important topic for researchers within the software engineering communities, most probably everyone has an opinion about the meaning of quality. However, many disagreements and conflicts are very often leaded between peoples whose involve in software development, when they implement to it in the real world. This has been highly notable in the case of customer's complaints about faults in the software products. It is well known that many organizations or individuals are relishing many challenges to preserve software product quality, whenever they develop any types of software product. Appearance of defects is the very much contributor to reduce the product quality and prominently increases in development costs and completion time due to amendment and rework time. The success and demand of a software system is not only pivot on cost and proceedings, but also on software quality. In between many software quality features, to identify the vestigial defects in the product has become the actual industry standard. This paper is a study about software quality, software defect and how both are relate to each other and also discuss defect prediction is batter approach in compare defect correction to assure software product quality. We also discuss some data mining methodologies in brief; they are used to build defect prediction models to ensure the level of defect density of target program modules of software product.
Sponsorship	IEEE Uttar Pradesh Sect.
Starting Page	108
Ending Page	113
File Size	226403
Page Count	6
File Format	PDF
ISBN	9781467359870
e-ISBN	9781467359863
DOI	10.1109/ICISCON.2013.6524184
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-03-09
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Software defect prediction Software quality Organizations Predictive models Product design Quality assessment Data mining Software engineering Software defects
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