Arranged sample in GHLD for software reliability growth model

https://doi.org/10.53730/ijhs.v6nS2.5400

Authors

  • V. Rama Krishna Professor, Vignan’s Foundation for Science, Technology and Research, Vadlamudi, Guntur
  • T Sbhamastan Rao Associate Professor, CMR Technical Campus, Hyderabad
  • Lakshmi Deepika Roy Assistant Professor, CMR Technical Campus, Hyderabad

Keywords:

GHLD type I, arranged sample, maximum likelihood estimation, SRGM

Abstract

As the size and complexity increases, it is difficult to generate reliable software for the users. Reliability depends on number of failures which create a great loss in the software system. Though many software reliability growth models exist, but for time domain data can be handled through Arranged sample approach and one can construct NHPP leads to reliability function and formulate SRGM. In this paper, an attempt is made to present the GHLD type - I model with arranged sample as a software reliability growth model and derive the expressions for Reliability function that facilitates to compute the reliability of a product. Maximum likelihood estimation procedure is used to estimate the parameters of the model. Through the analysis of live data sets  the results are exhibited.

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Published

01-04-2022

How to Cite

Krishna, V. R., Rao, T. S., & Roy, L. D. (2022). Arranged sample in GHLD for software reliability growth model. International Journal of Health Sciences, 6(S2), 1853–1861. https://doi.org/10.53730/ijhs.v6nS2.5400

Issue

Section

Peer Review Articles