2231–4202  (Print)                
2249–9970  (Online)             

JPAST is biannual multidisciplinary journal starting from July 2011. Articles are invited for July 20 issue.
On the Development of Software Reliability Growth Model Based on Features Enhancement – Jagvinder Singh, Ompal Singh, Deepti Aggrawal and Indarpal Singh

On the Development of Software Reliability Growth Model Based on Features Enhancement

Jagvinder Singh1, Ompal Singh1, Deepti Aggrawal1 and Indarpal Singh2,*

1Department of Operational Research, University of Delhi, India

2,*D.N.(P.G.) College, Gulaothi, Bulandshahar, UP, India


The software industry can be considered as the typical high technology industry where rate of innovation and knowledge creation plays a pivotal role for continued firm growth. In the last few decades it has been observed that the world of software development management has evolved rapidly due to the intensified market competition. In particular the use of feature-addition model of software products in the industry is fast becoming the commonplace. The up-gradation model can be characterized by increasing the number of features in the software that will give the firm competitive edge in the market. The up-gradation of the system is done by extending it through add-ons, interfacing with other applications etc. Continuous up-gradation of software’s also brings complexity in the systems once it failed to work properly. In recent years, there has been a growing interest to predict the link between the rates of failure and the reliability of software. Many software reliability growth models (SRGMs) have been proposed over past three decades that estimate the reliability of a software system as it undergoes changes through the removal of failure causing faults. But unfortunately most of the models didn’t consider anything about the increase in failure rate once an up-gradation is made on the software. The objective of this paper is to propose the software reliability growth model that incorporates the effect of enhancement of features on software during testing and debugging process. Results have been supplemented with numerical examples.

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