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Assessing Software Quality with Time Domain Pareto Type II using SPC

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International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 85 - Number 19
Year of Publication: 2014
Authors:
K. Sita Kumari
R. Satya Prasad
10.5120/15100-3523

Sita K Kumari and Satya R Prasad. Article: Assessing Software Quality with Time Domain Pareto Type II using SPC. International Journal of Computer Applications 85(19):46-52, January 2014. Full text available. BibTeX

@article{key:article,
	author = {K. Sita Kumari and R. Satya Prasad},
	title = {Article: Assessing Software Quality with Time Domain Pareto Type II using SPC},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {85},
	number = {19},
	pages = {46-52},
	month = {January},
	note = {Full text available}
}

Abstract

As the usage of software is getting increased day by day, there is a need for software reliability and for this several software reliability growth models exist that are capable of finding the occurrence of errors. It is also possible to find the reliability of time domain models based on order statistics with Non-Homogeneous Poisson Process (NHPP). The conditional failure rate is an important factor for software and order statistics can be used in various applications like characterization of problems, detecting outliers, linear estimation, study of system reliability, life testing, survival analysis, data compression and many others. Using Statistical Process Control (SPC), we can monitor when the software failures occurs, that helps in improving the reliability of software. In this paper, we proposed a control mechanism Pareto Type II model with an on order statistics based on NHPP and the observations are considered for time domain failure data. The unknown parameters are estimated using a well-known estimation method known as Maximum Likelihood Estimation (MLE). The model is analyzed using live data sets.

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