Title :
Toward a fuzzy-logic based formal-approach for specifying imprecise requirements
Author :
Yen, John ; Lee, Janathan ; Liu, Xiaoqing
Author_Institution :
Texas A&M Univ., College Station, TX, USA
Abstract :
A major challenge with requirement engineering is that the requirements to be captured usually are described in qualitative terms which are imprecise in nature. However, most existing software specification methodologies require that the requirements be represented in a precise form. In this paper, we propose a fuzzy logic-based formal approach to formulate soft (imprecise) functional requirements. Based on such a formulation, the trade-offs among conflicting soft requirements can be analyzed using fuzzy multicriteria optimization techniques. The proposed approach not only can provide useful design guidelines that help the designer to focus on effective design trade-offs, but also enable a more realistic validation of the user´s imprecise requirements
Keywords :
fuzzy logic; operations research; optimisation; fuzzy logic; fuzzy multicriteria optimization techniques; imprecise requirement specification; qualitative requirements; requirement engineering; software specification; Control systems; Expert systems; Fuzzy logic; Fuzzy sets; Guidelines; Logic testing; Optimization methods; Problem-solving; Software safety; System testing;
Conference_Titel :
Reliability and Maintainability Symposium, 1994. Proceedings., Annual
Conference_Location :
Anaheim, CA
Print_ISBN :
0-7803-1786-6
DOI :
10.1109/RAMS.1994.291152