Research Article Open Access

A Quantitative Analysis of NHPP Based Software Reliability Growth Models

Abstract

The application of computer systems is so widely spread that it can be found in almost all complex equipments. So, reliability of software becomes a major concern as unreliable software may lead to huge economic loss to the organization. A software reliability growth model (SRGM) basically predicts the fault detection coverage in software testing phase. The general problem that is encountered is to minimize the number of remaining faults for a given fixed amount of testing effort and reliability objective. In this paper a general framework of two non homogeneous poisson processes based SRGM models namely Goel okumoto and Delayed S Shaped model are presented. The main objective of these two models is to estimate the faults or failures remaining in the system.

Bijoyeta Roy, Santanu Kr. Misra, Aradhana Basak, Aparupa Roy, Deyasini Hazra

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