A Systematic Tradeoff Methodology for Acquiring and Validating Imprecise Requirements

J. Yen
Xiaoqing Frank Liu, Missouri University of Science and Technology
W. A. Tiao

This document has been relocated to http://scholarsmine.mst.edu/comsci_facwork/167

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Requirement analysis is one of the most important phases in a software development process. Existing requirement methodologies are limited in specifying requirements that are usually vague and imprecise, and in supporting tradeoff analysis between the conflicting requirements. In this paper, the elasticity of imprecise requirements is captured using fuzzy logic to facilitate tradeoffs between conflicting requirements. Based on the marginal rate of substitution in decision science, we have developed a systematic approach to elicit the structures and the parameters of imprecise requirements, to validate the scheme for aggregating requirements, and to assess relative priorities of conflicting requirements.