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Software Process Control on Ungrouped Data: Log-Power Model
Satya Prasad Ravi, B. Indira Reddy, Krishna Mohan Gonuguntla
Pages - 1 - 7     |    Revised - 31-12-2013     |    Published - 22-01-2014
Volume - 5   Issue - 1    |    Publication Date - January 2014  Table of Contents
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KEYWORDS
MLE, SPC, Log-Power, Ungrouped Data.
ABSTRACT
Statistical Process Control (SPC) is the best choice to monitor software reliability process. It assists the software development team to identify and actions to be taken during software failure process and hence, assures better software reliability. In this paper we propose a control mechanism based on the cumulative observations of failures which is ungrouped data using an infinite failure mean value function of Log-Power model, which is Non-Homogenous Poisson Process (NHPP) based. The Maximum Likelihood Estimation (MLE) approach is used to estimate the unknown parameters of the model.
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Associate Professor Satya Prasad Ravi
Acharya Nagarjuna University - India
profrsp@gmail.com
Mr. B. Indira Reddy
St. pauls college of management and information technology - India
Mr. Krishna Mohan Gonuguntla
P.B.Siddhartha College - India


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