Identifying Software Reliability through Statistical Process Control: An Artificial Neural Network Approach

  • Dr.Y.Sangeetha

Abstract

This paper thinks about an Artificial Neural Network Estimation (ANN) based plan to appraise programming dependability utilizing G-O reliability growth model. An Artificial Neural Network Estimation is one of the summed up systems of programming dependability models of Non Homogeneous Poisson Processes (NHPPs). The ANN gives investigative estimators as opposed to an iterative guess to gauge the parameters. Right now proposed Statistical Process Control (SPC) Charts component to decide the product quality utilizing bury disappointment times information. The Control diagrams can be utilized to quantify whether the product procedure is measurably leveled out or not.

 Keywords: An Artificial Neural Network, Software reliability growth models, tatistical Process  Control.

Published
2020-05-06
How to Cite
Dr.Y.Sangeetha. (2020). Identifying Software Reliability through Statistical Process Control: An Artificial Neural Network Approach. International Journal of Advanced Science and Technology, 29(06), 3061 - 3066. Retrieved from https://sersc.org/journals/index.php/IJAST/article/view/13843