Cost optimization of a software reliability growth model with imperfect debugging and a fault reduction factor

Authors

  • Taduru Manjula Research Scholar Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, India.
  • Madhu Jain
  • T.R. Gulati

DOI:

https://doi.org/10.21914/anziamj.v55i0.7834

Keywords:

Software reliability, Non-homogeneous Poisson process, Imperfect debugging, Testing effort function, Fault reduction factor, change point, Optimal release policy.

Abstract

In modern society people depend on both hardware and software systems. A software system is embedded in every activity of a computer system. The desired performance of a software system is an important issue for many critical systems. Over the past decades, many software models were proposed for estimating the growth of reliability. To improve software quality, software reliability growth models (SRGM) play an important role. The present investigation deals with a SRGM with imperfect debugging, change points and a fault reduction factor (FRF). A FRF is the net number of faults removed in proportion to the failures experienced. This article proposes a new scheme for constructing a SRGM based on a non-homogeneous Poisson process by considering a constant FRF. The main focus is to provide an efficient parametric decomposition for a SRGM. Numerical examples are given to illustrate the validity of analytical results. References
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Published

2014-06-21

Issue

Vol. 55 (2013)

Section

Proceedings Engineering Mathematics and Applications Conference