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Please use this identifier to cite or link to this item: http://dspace.library.iitb.ac.in/jspui/handle/10054/1517

Title: Early quantitative software reliability prediction using Petri-nets
Authors: KRISHNA MOHAN, K
VERMA, AK
SRIVIDYA, A
VARAPRASADA RAO, G
GEDELA, RAVI KUMAR
Keywords: petri nets
quality assurance
java programming language
standardization
Issue Date: 2008
Publisher: IEEE
Citation: IEEE Region 10 Colloquium and 3rd International Conference on Industrial and Information Systems, Kharagpur, India, 8-10 December 2008, 1-6
Abstract: In a competitive business landscape, large organizations such as insurance companies and banks are under high pressure to innovate, improvise and distinguish their products and services while continuing to reduce the time-to market for new product introductions. Generating a single view of the customer is vital from different perspectives of the systems developer over a period of time because of the existence of disconnected systems within an enterprise. Therefore, to increase revenues and cost optimization, it is important to build enterprise systems more closely with the business requirements by reusing the existing systems. While building distributed based applications, it is important to take into account the proven processes like Rational Unified Process (RUP) to mitigate risks and increase the reliability of systems. Experiences in developing applications in Java Enterprise Edition (JEE) with customized RUP have been presented in this paper. RUP is adopted into an onsite-offshore development model along with ISO 9001 and SEI CMM Level 5 standards. This paper provides an RUP approach to achieve increased reliability with higher productivity and lower defect density along with competitiveness through cost effective custom software solutions. Quantitative software reliability prediction is done using Generalized Stochastic Petri Nets, based on the RUP implemented prototype obtained from the PoC of a financial application prior to the actual implementation of the application development.
URI: 10.1109/ICIINFS.2008.4798487
http://hdl.handle.net/10054/1517
http://dspace.library.iitb.ac.in/xmlui/handle/10054/1517
ISBN: 9781424428069
Appears in Collections:Proceedings papers

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