DocumentCode :
1828126
Title :
Class Diagram Retrieval Using Genetic Algorithm
Author :
Salami, Hamza Onoruoiza ; Ahmed, Mariwan
Author_Institution :
Inf. & Comput. Sci. Dept., King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia
Volume :
2
fYear :
2013
fDate :
4-7 Dec. 2013
Firstpage :
96
Lastpage :
101
Abstract :
Reuse of software results in many gains such as reduced development time and overall cost, especially when it takes place in the early stages of software development. Retrieval is a crucial activity during software reuse. This work focuses on the retrieval of UML class diagrams using Genetic Algorithm (GA). It builds on our earlier work by describing a GA for determining class diagram similarity based on classifier features. Experimental results show that our newly proposed technique results in the retrieval of the most similar class diagrams from a repository.
Keywords :
Unified Modeling Language; genetic algorithms; pattern classification; software reusability; GA; UML class diagram retrieval; class diagram similarity; classifier features; genetic algorithm; overall cost reduction; repository; software development time reduction; software reuse; unified modeling language; Biological cells; Genetic algorithms; Sociology; Software; Statistics; Support vector machine classification; Unified modeling language; UML class diagram; genetic algorithm; software retrieval; software reuse;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Applications (ICMLA), 2013 12th International Conference on
Conference_Location :
Miami, FL
Type :
conf
DOI :
10.1109/ICMLA.2013.112
Filename :
6786088
Link To Document :
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