• 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