Software Reliability Growth Models and tools - a review

Author

Sharma, Lokendra K. ; Saket, R.K. ; Sagar, B.B.

Author_Institution

Dept. of CSE, Mewar Univ., Chittorgarh, India

fYear

2015

fDate

11-13 March 2015

Firstpage

2057

Lastpage

2061

Abstract

Estimating software reliability is always a keen interest of researchers for last three decades due to day to day increase in software industry. Various Software Reliability Growth Models (SRGM) have been proposed to estimate software failure rate, number of faults remaining, and software reliability for the same. This paper describes the review of the various software faults, performance testing, detection of fault tolerance, and evaluation of reliability of software systems.

Keywords

DP industry; software fault tolerance; software performance evaluation; software tools; SRGM; fault tolerance detection; performance testing; reliability evaluation; software failure rate estimation; software faults; software industry; software reliability estimation; software reliability growth models; software tools; Biological system modeling; Computational modeling; Data models; Predictive models; Software; Software reliability; Software reliability; availability; dependability; fault detection capability; operating conditions; performance evaluation; software adequacy; software reliability growth model;

fLanguage

English

Publisher

ieee

Conference_Titel

Computing for Sustainable Global Development (INDIACom), 2015 2nd International Conference on

Conference_Location

New Delhi

Print_ISBN

978-9-3805-4415-1

Type

conf

Filename

7100602