Fuzzy logic-based object-oriented methods to reduce quantization error and contextual bias problems in software development-Reference-Cited by-同舟云学术

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Fuzzy logic-based object-oriented methods to reduce quantization error and contextual bias problems in software development

Published:2004-07 Issue:1 Volume:145 Page:57-80
ISSN:0165-0114
Container-title:Fuzzy Sets and Systems
language:en
Short-container-title:Fuzzy Sets and Systems

Author:

Marcelloni Francesco,Aksit Mehmet

Publisher

Elsevier BV

Subject

Artificial Intelligence,Logic

Reference28 articles.

1. Deferring elimination of design alternatives in object-oriented methods;Aksit;Concurrency Comput.—Practice Experience,2001

2. The TAME project: towards improvements-oriented software environments;Basili;IEEE Trans. Software Engrg.,1988

3. L. Benedicenti, G. Succi, T. Vernazza, A. Valerio, Object oriented process modeling with fuzzy logic, in: Proc. 1998 ACM Symp. on Applied Computing, ACM, Atlanta, Georgia, United States, 1998, pp. 267–271.

4. Object-oriented design with applications;Booch,1991

5. Software Design;Budgen,1994

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1. Analysis of Programming Tool for the Development of Software Tool to Improve the Quality of Software Product Using Fuzzy Quality Function Deployment;2016 Second International Conference on Computational Intelligence & Communication Technology (CICT);2016-02

2. Resolving model inconsistencies using automated regression planning;Software & Systems Modeling;2013-02-26

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