DocumentCode :
3471675
Title :
Approximate reasoning about software models
Author :
Ramanna, Sheela
Author_Institution :
Dept. of Appl. Comput. Sci., Winnipeg Univ., Man., Canada
Volume :
2
fYear :
2004
fDate :
27-30 June 2004
Firstpage :
791
Abstract :
This article introduces an approximating reasoning approach to evaluating models for system design relative to a system design standard. A fundamental problem in system design is that feature values extracted from experimental design models tend not to match exactly patterns associated with standard design models. It is not generally known how to measure the extent that a particular system design conforms to a standard design pattern. The rough set approach introduced by Zdzislaw Pawlak provides a basis for concluding to what degree a particular model for a system design is a part of a set of a set of models representing a standard. Sample models exhibiting selected behavioral design patterns are briefly considered by way of illustration of design model approximation. In this paper, an approximation space for design patterns is introduced. In addition, an approach to the satisfaction-based classification of design models is also presented.
Keywords :
inference mechanisms; reverse engineering; rough set theory; systems analysis; uncertain systems; approximate reasoning; feature extraction; reverse engineering; rough set approach; satisfaction-based classification; software models; systems design; Computer architecture; Computer science; Context modeling; Design for experiments; Feature extraction; Measurement standards; Particle measurements; Rough sets; Software design; Unified modeling language;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Information, 2004. Processing NAFIPS '04. IEEE Annual Meeting of the
Print_ISBN :
0-7803-8376-1
Type :
conf
DOI :
10.1109/NAFIPS.2004.1337403
Filename :
1337403
Link To Document :
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