• DocumentCode
    2549019
  • Title

    A novel straightforward evolutionary approach to performance evaluation

  • Author

    Aboutalebi, Majid ; Ahmadi, Ali A.

  • Author_Institution
    Sci. & Res. Branch, Islamic Azad Univ., Tehran, Iran
  • fYear
    2010
  • fDate
    16-18 April 2010
  • Firstpage
    718
  • Lastpage
    721
  • Abstract
    This paper presents an evolutionary approach toward performance evaluation of business process model. Performance is a pervasive quality of software system and since vast variables are involved and affected on it, the importance of performance evaluation is irrefutable. The proposed algorithm is based on Genetic algorithm technique. A business graph was assumed and by using genetic algorithm method, the performance of business process is evaluated. The merits of our approach are using uniparameter model, simple formulas and practical algorithm to evaluate business process model. Besides, our approach has potentiality to create an optimum business model in next steps.
  • Keywords
    business process re-engineering; genetic algorithms; graph theory; performance evaluation; business graph; business process model; genetic algorithm technique; performance evaluation; pervasive quality; software system; straightforward evolutionary approach; Genetic algorithms; Software systems; Business process; Evolutionary algorithm; Fitness function; Genetic Algorithm; Performance evaluation; combination; mutation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-5263-7
  • Electronic_ISBN
    978-1-4244-5265-1
  • Type

    conf

  • DOI
    10.1109/ICIME.2010.5477857
  • Filename
    5477857