• DocumentCode
    2800168
  • Title

    An optimization framework for reuse component selection in software product line

  • Author

    Wu Zhi-qiao ; Jia-fu, Tang ; Li-yan, Wang

  • Author_Institution
    Key Lab. of Integrated Autom. of Process Ind., Northeastern Univ., Shenyang, China
  • fYear
    2009
  • fDate
    17-19 June 2009
  • Firstpage
    1880
  • Lastpage
    1884
  • Abstract
    We tackle the problem that selecting a series of components (simple reuse, build in-house or COTS) to satisfy a set of requirements within a budgetary constraint while maximize quality is becoming more difficult in the requirements phase. We study two main issues, analysis of optimal framework component selection process and survey on the activities of the entire software development in product line. Our search results introduce the framework based on decision variables indicating the set of architectural components to reuse scenario in order to pursue the highest quality while assuring a certain degree of satisfaction of the system requirements with a given cost budget. It also extends the quality properties to the non-functional requirement, such as reliability and delivery time.
  • Keywords
    object-oriented programming; optimisation; product development; software architecture; software quality; software reliability; software reusability; architectural component reuse; budgetary constraint requirement; nonfunctional requirement; optimization framework; reuse component selection; software development; software product line; software quality; software reliability; Automation; Computer industry; Constraint optimization; Costs; Educational products; Programming; Software quality; Software reliability; optimization models; software product line; software quality; software reliability; software reuse;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2009. CCDC '09. Chinese
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4244-2722-2
  • Electronic_ISBN
    978-1-4244-2723-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2009.5192848
  • Filename
    5192848