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Application of Reliability Prediction Model Adapted for the Analysis of the ERP System

Authors: F. Urem, K. Fertalj, Ž. Mikulić

Abstract:

This paper presents the possibilities of using Weibull statistical distribution in modeling the distribution of defects in ERP systems. There follows a case study, which examines helpdesk records of defects that were reported as the result of one ERP subsystem upgrade. The result of the applied modeling is in modeling the reliability of the ERP system from a user perspective with estimated parameters like expected maximum number of defects in one day or predicted minimum of defects between two upgrades. Applied measurement-based analysis framework is proved to be suitable in predicting future states of the reliability of the observed ERP subsystems.

Keywords: Reliability, ERP, weibull

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1331831

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References:


[1] F. Urem, K. Fertalj, I. Livaja, "The impact of upgrades on ERP system reliability", ICKSE 2011: International Conference on Knowlede and Software Engineering, (2011)
[2] Michael R. Lyu, ÔÇ×Handbook of Software Reliability Engineering", Computer Society Press. ISBN: 0-07-039400-8. (1996)
[3] MathWave Easy Fit, available at: http://www.mathwave.com
[4] T. W. Anderson, "An Introduction to Multivariate Statistical Analysis, Wiley Series in Probability and Statistics, 3rd edition (2003), ISBN 0471360910
[5] Richard O. Duda, Peter E. Hart, David G. Stork, "Pattern Classification (2nd Edition)", Wiley Interscience publication, ISBN: 0471056693, (2001)
[6] Weibull, W.,"A statistical distribution function of wide applicability", (1951), J. Appl. Mech.-Trans. ASME 18 (3): 293-297
[7] Panorama Consulting Group (2010), 2010 ERP Vendor Analysis Report , available at: http://panorama-consulting.com/resource-center/2010-erpvendor- analys