Burr Type III Quality Assessment using SPRT
N. Krishna Kumar1, R. Satya Prasad2, G. Sridevi3
1N.Krishna Kumar, Research Scholar, Department of Computer Science & Engineering, Acharya Nagarjuna University, Guntur, Andhra Pradesh, India.
2Dr R.Satya Prasad, Professor & Head, Department of Computer Science & Engineering, Acharya Nagarjuna University, Guntur, Andhra Pradesh, India.
3Dr G. Sridevi, Professor, Department of Computer Science & Engineering, MVR College of Engineering and Technology, Paritala, Andhra Pradesh, India.
Manuscript received on 02 June 2019 | Revised Manuscript received on 10 June 2019 | Manuscript published on 30 June 2019 | PP: 781-786 | Volume-8 Issue-8, June 2019 | Retrieval Number: F3715048619/19©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The data or software system is obtaining exaggerated within the internet day by day, and a vivacious analysis is goes on towards the software system reliability. In this regard, there is a desire for the people to own the tools/mechanisms to observe whether or not the software system is reliable or not. Many strategies came into existence for assessing the software system reliability. A lot of time is used when classical approaches like hypothesis testing used for the reason that the conclusions solely are drawn when collecting vast amounts of knowledge. Adopting statistical mathematical strategies like sequential analysis will be applied to reach a decision quickly. We have a tendency to project to implement the test namely Sequential Probability Ratio Test (SPRT) based approach on Burr Type III model depends on interval domain data. For this, Maximum Likelihood Estimation (MLE) used to predict the parameters to be use SPRT on real time software system failure datasets borrowed from different software projects.
Keyword: Burr type III distribution model, ML Estimation, Reliability of Software system, Sequential Probability Ratio Test.
Scope of the Article: Ventilation and Indoor Air Quality.