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
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