DocumentCode :
163304
Title :
Retrieving sequence diagrams using genetic algorithm
Author :
Salami, Hamza Onoruoiza ; Ahmed, Mariwan
Author_Institution :
Inf. & Comput. Sci. Dept., King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia
fYear :
2014
fDate :
14-16 May 2014
Firstpage :
324
Lastpage :
330
Abstract :
The benefits of software reuse are multiplied if it is carried out in the early stages of software development. Sequence diagrams are commonly used to model the functionality of software systems at the initial stages (e.g. during requirements analysis) of the software development life cycle. In this work we utilize Genetic Algorithm (GA) for determining the similarity of graphical representations of sequence diagrams, in order to aid the retrieval of similar sequence diagrams from a repository. Experimental results show that the introduction of GA in the graph similarity computation leads to very significant improvements in retrieval quality compared to the existing method which utilizes a deterministic graph similarity algorithm.
Keywords :
genetic algorithms; software reusability; GA; deterministic graph similarity algorithm; genetic algorithm; graphical representations similarity computation; retrieval quality; sequence diagrams; software development life cycle; software retrieval; software reuse; software systems functionality; UML; genetic algorithm; sequence diagram; software retrieval; software reuse;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Software Engineering (JCSSE), 2014 11th International Joint Conference on
Conference_Location :
Chon Buri
Print_ISBN :
978-1-4799-5821-4
Type :
conf
DOI :
10.1109/JCSSE.2014.6841889
Filename :
6841889
Link To Document :
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