Chen Software Reliability Growth Model

Mumuni Napari Hanifatu *

Department of Statistics, University for Development Studies, Ghana.

Suleman Nasiru

Department of Statistics, C. K. Tedam University of Technology and Applied Sciences,, Ghana.

Jakperik Dioggban

Department of Statistics, C. K. Tedam University of Technology and Applied Sciences,, Ghana.

*Author to whom correspondence should be addressed.


Abstract

Software reliability analysis is very vital in software development. Software manufacturers assess the quality of their developed software through this analysis. This has triggered the development of reliability models. Software reliability growth models have been used extensively to examine the quality of manufactured software before they are sent to the market. This study presents a new software reliability growth model using Chen distribution. The Chen software reliability growth model is then used to establish sequential probability ratio test limits for determining whether a manufactured software is reliable or unreliable. The applications of the proposed model revealed that it performs better than some of the existing software reliability growth models for the given datasets.

Keywords: Software reliability, growth model, Chen, SPRT, quality control


How to Cite

Hanifatu, Mumuni Napari, Suleman Nasiru, and Jakperik Dioggban. 2022. “Chen Software Reliability Growth Model”. Asian Journal of Probability and Statistics 16 (3):13-25. https://doi.org/10.9734/ajpas/2022/v16i330402.

Downloads

Download data is not yet available.