Title :
A framework for the choices of design alternatives
Author :
Tiao, W. Amos ; Yen, John
Author_Institution :
Dept. of Comput. Sci., Texas A&M Univ., College Station, TX, USA
Abstract :
A software design process is to build a system that satisfies the customer´s requirements which are often not crisply defined. Thus, design engineers often need to make design trade-off decisions to choose a set of design alternatives that satisfies the requirements as much as possible. In this paper, we propose a formal framework to assist design engineers in choosing design alternatives. Our approach uses fuzzy logic to represent quality requirements and design alternatives. Based on the representations, we can identify the impacts of design alternatives on requirements, infer the implicit impacts through hierarchical structures, and assist design engineers in the determination of a set of design alternatives. The goal of this research is to guide design engineers in evaluating design alternatives, to reduce design errors, to facilitate design rationale capture, and to build a system that better satisfies the customer
Keywords :
computer aided software engineering; fuzzy logic; inference mechanisms; intelligent design assistants; knowledge representation; design alternatives; formal framework; fuzzy logic; inference mechanism; intelligent design assistance; knowledge representation; quality requirements; software design; Computer science; Design engineering; Fuzzy logic; Intelligent robots; Intelligent systems; Natural languages; Process design; Software design; Software systems;
Conference_Titel :
Fuzzy Systems Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-4863-X
DOI :
10.1109/FUZZY.1998.686264