Bhat, Vishwas M., Mishra, Rajesh P., Sundarakrishna, Sainarayanan, and Chakraborty, Ayon (2013) Classification based reliability growth prediction on data generated by multiple independent processes. In: Proceedings of the International Conference on Managing the Asian Century. pp. 429-439. From: ICMAC 2013: International Conference on Managing the Asian Century, 11-13 July 2013, Singapore.

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Abstract

Reliability Growth is a modeling process for product quality characterization over the lifespan for both hardware and software products and has been explained by multiple models like Duane, Crow-AMSAA, Lloyd Lipow etc. Our research proposes a framework for case-based/scenario based model estimation and prediction, by supervised learning of historical data. In this proposed framework, the case base is generated from historical data and Crow Model is applied in a novel sense to extract information from the historically labeled occurrences. With our framework, we draw in a comparative advantage over the traditional predictive modeling using a Crow's Growth Model.

Item ID:	33571
Item Type:	Conference Item (Research - E1)
ISBN:	978-981-4560-61-0
Keywords:	reliability growth, NHPP, case, wise, independant poisson processes, Monte-carlo, probablistic model
Related URLs:	Organisation
Date Deposited:	05 Jun 2014 06:37
FoR Codes:	15 COMMERCE, MANAGEMENT, TOURISM AND SERVICES > 1599 Other Commerce, Management, Tourism and Services > 159999 Commerce, Management, Tourism and Services not elsewhere classified @ 100%
SEO Codes:	97 EXPANDING KNOWLEDGE > 970115 Expanding Knowledge in Commerce, Management, Tourism and Services @ 100%
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