EconPapers    
Economics at your fingertips  
 

Empirical analysis of software reliability growth model for three-tier client-server system

Pradeep Kumar and Yogesh Singh

International Journal of Industrial and Systems Engineering, 2013, vol. 14, issue 3, 352-373

Abstract: In this paper, we present an analytical model for software reliability growth using three-tier client-server system composed of user-interface layer, application layer and data layer. We empirically demonstrate how this analytical model can be utilised to predict the reliability of software systems based on client-server architecture. The proposed model has been validated using various parameters in terms of mean square error, mean absolute error, accuracy of estimation, R-values and bias using seven empirical datasets extracted from data and analysis centre for software and other resources. The application of our model can be applied to determine the quality of development process using remaining number of faults in the software during testing phase to avoid any unforeseen situation at later stage. A comparative analysis using three standard classical models has been cited to illustrate experimental results showing significant improvement statistically. Finally, we conclude that proposed approach is more precise in prediction capacity having better capability of generalisation.

Keywords: SRGM; software reliability growth model; three-tier client-server systems; performance measurement; performance evaluation; modelling; software quality. (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=54285 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijisen:v:14:y:2013:i:3:p:352-373

Access Statistics for this article

More articles in International Journal of Industrial and Systems Engineering from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().

 
Page updated 2025-03-19
Handle: RePEc:ids:ijisen:v:14:y:2013:i:3:p:352-373