alexa A Quantitative Analysis of NHPP Based Software Reliability Growth Models
ISSN ONLINE(2320-9801) PRINT (2320-9798)

International Journal of Innovative Research in Computer and Communication Engineering
Open Access

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Research Article

A Quantitative Analysis of NHPP Based Software Reliability Growth Models

Bijoyeta Roy1, Santanu Kr. Misra2, Aradhana Basak3, Aparupa Roy3, Deyasini Hazra3
  1. Assistant Professor, Department of CSE, Sikkim Manipal Institute of Technology, Rangpo, India
  2. Associate Professor, Department of, Sikkim Manipal Institute of Technology, Rangpo, India
  3. UG Students, Department of, Sikkim Manipal Institute of Technology, Rangpo, India
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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.

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