• DocumentCode
    3458177
  • Title

    The Integrated Optimization Research on Software Project Development Process Based on Fuzzy Multi-Attribute Theory

  • Author

    Shan, Xiaohong ; Jiang, Guorui ; Huang, Tiyun

  • Author_Institution
    Coll. of Econ. & Manage., Beijing Univ. of Technol., Beijing
  • fYear
    2008
  • fDate
    12-14 Oct. 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The project of developing software is a comprehensive multiple objective system. In view of the characteristic of software project development process, this article uses the three basic factors-cost, schedule and quality of the software project development as the multi-attribute variable, establishes an integrated optimization model of software project development process based on fuzzy multi-attribute theory. For the tradeoff optimization problem of these three basic factors, the model presents a dynamic multi-objective optimization solution. Using the genetic algorithm we can obtain the most satisfied results. Finally we give an example to verify the model´s feasibility and effectiveness. The efficiency of the model is quite high, and the results accord with the practice.
  • Keywords
    dynamic programming; fuzzy set theory; genetic algorithms; scheduling; software cost estimation; software development management; software quality; dynamic multiobjective optimization; fuzzy multiattribute theory; genetic algorithm; integrated optimization model; software cost; software project development process; software quality; software scheduling; Cost function; Educational institutions; Job shop scheduling; Optimization methods; Power generation economics; Project management; Research and development management; Software development management; Software quality; Technology management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4244-2107-7
  • Electronic_ISBN
    978-1-4244-2108-4
  • Type

    conf

  • DOI
    10.1109/WiCom.2008.1789
  • Filename
    4679978