An approach based on genetic algorithms for clustering classes in components

Jişa Dan Laurenţiu: An approach based on genetic algorithms for clustering classes in components. In: Acta cybernetica, (17) 2. pp. 273-287. (2005)

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Abstract

The goal of this work is to create a model that allows identification of the software components (or subsystems according to the unified process terminology) based on the design models, or more exactly, based on the classes diagrams (for the static aspects) and on the interaction diagrams (for the dynamic aspects). The work also presents a genetic algorithm used for the clustering of classes into modules.

Item Type: Article
Journal or Publication Title: Acta cybernetica
Date: 2005
Volume: 17
Number: 2
ISSN: 0324-721X
Page Range: pp. 273-287
Language: English
Place of Publication: Szeged
Event Title: Conference for PhD Students in Computer Science (4.) (2004) (Szeged)
Related URLs: http://acta.bibl.u-szeged.hu/38520/
Uncontrolled Keywords: Számítástechnika, Kibernetika
Additional Information: Bibliogr.: 287. ; összefoglalás angol nyelven
Subjects: 01. Natural sciences
01. Natural sciences > 01.02. Computer and information sciences
Date Deposited: 2016. Oct. 15. 12:25
Last Modified: 2022. Jun. 15. 12:22
URI: http://acta.bibl.u-szeged.hu/id/eprint/12766

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