Title :
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
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;
Conference_Titel :
Computing for Sustainable Global Development (INDIACom), 2015 2nd International Conference on
Conference_Location :
New Delhi
Print_ISBN :
978-9-3805-4415-1
