Research Article
SPC for Software Reliability using Inflection S-Shaped Model
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 60 - Issue 2 |
| Published: December 2012 |
| Authors: R. Satya Prasad, Y. Sangeetha |
10.5120/9664-3280
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R. Satya Prasad, Y. Sangeetha . SPC for Software Reliability using Inflection S-Shaped Model. International Journal of Computer Applications. 60, 2 (December 2012), 22-27. DOI=10.5120/9664-3280
@article{ 10.5120/9664-3280,
author = { R. Satya Prasad,Y. Sangeetha },
title = { SPC for Software Reliability using Inflection S-Shaped Model },
journal = { International Journal of Computer Applications },
year = { 2012 },
volume = { 60 },
number = { 2 },
pages = { 22-27 },
doi = { 10.5120/9664-3280 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2012
%A R. Satya Prasad
%A Y. Sangeetha
%T SPC for Software Reliability using Inflection S-Shaped Model%T
%J International Journal of Computer Applications
%V 60
%N 2
%P 22-27
%R 10.5120/9664-3280
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Traditional statistical analysis methods account for natural va-riation but require aggregation of measurements over time,which can delay decision making. Statistical process control (SPC) is a branch of statistics that combines rigorous time series analysis methods with graphical presentation of data,often yielding insights into the data more quickly and in a way more understandble to lay decision makers . SPC and its primary tool-the control chart-provide researchers and practitioners with a method of better understanding and communicating data from software reliability improvement process efforts . This paper provides an s-shaped software reliability growth model based on the Non-Homogenous Poisson Process (NHPP). The maximum likelihood approach is used to estimate the unknown parameters of the model.
References
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