• DocumentCode
    3085060
  • Title

    A Metrics-Based Evolutionary Approach for the Component Selection Problem

  • Author

    Vescan, Andreea

  • Author_Institution
    Fac. of Math. & Comput. Sci., Babes-Bolyai Univ., Cluj-Napoca
  • fYear
    2009
  • fDate
    25-27 March 2009
  • Firstpage
    83
  • Lastpage
    88
  • Abstract
    Component-Based Software Engineering is concerned with the assembly of pre-existing software components that leads to software systems that respond to client specific requirements. Component selection and component systems assembly have become two of the key issues involved in this process. There may be different alternative components that can be selected (to obtain a configuration), each coming at their own set of offered requirements. Our goal is to select the best existing component alternatives. In order to attain this goal, the evaluation of the components is a necessity. As a result in this direction, software metrics are very useful being a mean to quantify those attributes considered important for the system that will built. We formulate the problem as multiobjective, considering different metrics values. The approach is an evolutionary computation technique. The experiments and comparisons (considering different criteria and various number of individuals and iterations) shows the importance of multicriteria-based solution.
  • Keywords
    evolutionary computation; object-oriented programming; software metrics; client specific requirements; component selection problem; component systems assembly; component-based software engineering; evolutionary computation; metrics based evolutionary approach; software components; software metrics; Assembly systems; Computational modeling; Costs; Equations; Evolutionary computation; Mathematical model; Software engineering; Software metrics; Software systems; Strontium; Component selection; evolutionary algorithms.; metrics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Modelling and Simulation, 2009. UKSIM '09. 11th International Conference on
  • Conference_Location
    Cambridge
  • Print_ISBN
    978-1-4244-3771-9
  • Electronic_ISBN
    978-0-7695-3593-7
  • Type

    conf

  • DOI
    10.1109/UKSIM.2009.32
  • Filename
    4809742