NDLI: Predicting risk as a function of risk factors

Content Provider	Springer Nature Link
Author	Schneidewind, rman F.
Copyright Year	2005
Abstract	In previous work, we showed that risk factors have a significant negative effect on reliability (e.g., occurrence of failure). In this paper, we show that it is feasible to predict risk (i.e., the probability of risk factors being related to discrepancy reports occurring on the release of software). This is an important advancement over the previous research because discrepancy reports are available in the requirements phase—when the cost and labor required to correct faults is low—whereas failure data only becomes available in the test phase—when the cost and labor required for correcting faults is high. Although using historical failure data to drive traditional software reliability models would produce greater prediction accuracy, the opportunity to provide early prediction of reliability using risk factors outweighs this advantage.
Starting Page	63
Ending Page	70
Page Count	8
File Format	PDF
ISSN	16145046
Journal	Innovations in Systems and Software Engineering
Volume Number	1
Issue Number	1
e-ISSN	16145054
Language	English
Publisher	Springer-Verlag
Publisher Date	2005-03-11
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Reliability prediction risk assessment risk factors Software Engineering Computing Methodologies Computer Applications
Content Type	Text
Resource Type	Article
Subject	Software

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
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Predicting risk as a function of risk factors