• Meer Tauseef Ali
• Dr .Syed Abdul Sattar

SRGMs can be used during the project to help make testing resource allocation decisions and/ or it can be used after the testing phase to determine the latent faults prediction to assess the maturity of software artifact. Software Reliability Growth Models (SRGMs) have been used by engineers and managers for tracking and managing the reliability change of software to ensure required standard of quality is achieved before the software is released to the customer. Two of the widely known and recommended techniques for parameter estimation are maximum likelihood and method of least squares. In this paper we compare between the two estimation procedures for their usability and applicability in context of SRGMs. We also highlight a couple of practical considerations, reliability practitioners must be aware of when applying SRGMs

"Software Defect Prediction using Maximum Likelihood Estimator and Non-linear Regression by Analyzing Software Reliability Growth Model", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.215-220, June-2019, Available :http://www.jetir.org/papers/JETIR1906956.pdf

"Software Defect Prediction using Maximum Likelihood Estimator and Non-linear Regression by Analyzing Software Reliability Growth Model", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp215-220, June-2019, Available at : http://www.jetir.org/papers/JETIR1906956.pdf