Monitoring Software Reliability using Statistical Process control: An MMLE approach
Software Engineering
2011-11-09 v1
Abstract
This paper consider an MMLE (Modified Maximum Likelihood Estimation) based scheme to estimate software reliability using exponential distribution. The MMLE is one of the generalized frameworks of software reliability models of Non Homogeneous Poisson Processes (NHPPs). The MMLE gives analytical estimators rather than an iterative approximation to estimate the parameters. In this paper we proposed SPC (Statistical Process Control) Charts mechanism to determine the software quality using inter failure times data. The Control charts can be used to measure whether the software process is statistically under control or not.
Keywords
Cite
@article{arxiv.1111.1826,
title = {Monitoring Software Reliability using Statistical Process control: An MMLE approach},
author = {R. Satya Prasad and Bandla Sreenivasa Rao and R. R. L. Kantam},
journal= {arXiv preprint arXiv:1111.1826},
year = {2011}
}
Comments
International Journal of Computer Science & Information Technology (IJCSIT) Vol 3, No 5, Oct 2011