DocumentCode :
1411343
Title :
New approach to requirements trade-off analysis for complex systems
Author :
Lee, Jonathan ; Kuo, Jong-Yih
Author_Institution :
Lab. of Software Eng., Nat. Central Univ., Chung-Li, Taiwan
Volume :
10
Issue :
4
fYear :
1998
Firstpage :
551
Lastpage :
562
Abstract :
We propose a faceted requirement classification scheme for analyzing heterogeneous requirements. The representation of vague requirements is based on L.A. Zadeh´s (1986) canonical form in test score semantics and an extension of the notion of soft conditions. The trade-off among vague requirements is analyzed by identifying the relationship between requirements, which could be either conflicting, irrelevant, cooperative, counterbalance, or independent. Parameterized aggregation operators, fuzzy and/or, are selected to combine individual requirements. An extended hierarchical aggregation structure is proposed to establish a four-level requirements hierarchy to facilitate requirements and criticalities aggregation through the fuzzy and/or. A compromise overall requirement can be obtained through the aggregation of individual requirements based on the requirements hierarchy. The proposed approach provides a framework for formally analyzing and modeling conflicts between requirements, and for users to better understand relationships among their requirements
Keywords :
fuzzy set theory; inference mechanisms; knowledge based systems; systems analysis; uncertainty handling; canonical form; complex systems; criticalities aggregation; extended hierarchical aggregation structure; faceted requirement classification scheme; four-level requirements hierarchy; fuzzy and/or; heterogeneous requirements; parameterized aggregation operators; requirements hierarchy; requirements trade-off analysis; soft conditions; test score semantics; vague requirements; Artificial intelligence; Computer Society; Computer science; Expert systems; Feathers; Fuzzy logic; Software engineering; Systems engineering and theory; Testing; Uncertainty;
fLanguage :
English
Journal_Title :
Knowledge and Data Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
1041-4347
Type :
jour
DOI :
10.1109/69.706056
Filename :
706056
Link To Document :
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