NDLI: Using statistics of the extremes for software reliability analysis of safety critical systems

Content Provider	IEEE Xplore Digital Library
Author	Kaufman, L.M. Dugan, J.B. Johnson, B.W.
Copyright Year	1998
Description	Author affiliation: Dept. of Electr. Eng., Virginia Univ., Charlottesville, VA, USA (Kaufman, L.M.)
Abstract	Software reliability models have been successfully applied to many industrial applications, but have the unfortunate drawback of requiring data from which one can formulate a model. The data used for these models frequently comes from pre-release testing and/or field experience, and is of sufficient quantity and quality for most large-scale commercial applications. Software which is developed for safety-critical applications is frequently unable to produce such data, for at least two reasons. First, the software is frequently one-of-a-kind, and second, it rarely fails. Safety-critical software is expected to pass every test, producing precious little failure data. "Statistics of the extremes" is a special branch of statistics developed for analysis of rare events. Where traditional statistical analysis uses the law of large numbers to provide information concerning points which are near the mean of the distribution, statistics of the extremes concentrates on the tails. Analysis of rare event data using statistics of the extremes does not require a-priori assumptions concerning the distributional form of the data, and thus provides an interesting alternative to traditional approaches. In this paper, we develop a software reliability model using statistics of the extremes, which is particularly applicable to safety-critical software systems.
Starting Page	355
Ending Page	363
File Size	1855652
Page Count	9
File Format	PDF
ISBN	0818689919
ISSN	10719458
DOI	10.1109/ISSRE.1998.730901
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-11-04
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Statistical analysis Software reliability Statistical distributions Application software Software safety Computer industry Large-scale systems Software testing Failure analysis Probability distribution
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