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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/15549

Title: Statistical methods for sustainable software risk identification methodologies
Authors: Basit Shahzad
Abdullah S. Al-Mudimigh
Zahid Ullah
Issue Date: 2010
Abstract: This paper focuses on the comparison of suitable methodologies that can help identifying the risk factors more appropriately. For this purpose a comparative study between the available techniques, namely Experience & Knowledge (EK), Questionnaire (Q) and Direct Communication (DC) has been made based on the survey that has been conducted on more than 100 respondents. By tabulating the results the weighted index is calculated that is summarized afterwards to portray the appropriate risk identification methodology for all the risk factors that have been addressed in this paper.
URI: http://hdl.handle.net/123456789/15549
Appears in Collections:College of Computer and Information Sciences

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