• Title of article

    A new method for performance evaluation of enterprise architecture using streotypes

  • Author/Authors

    Khamseh، Samaneh نويسنده Department of Computer Engineering, Science and Research Branch, Islamic Azad university, Ilam, Iran , , Sayyadi، Fares نويسنده Faculty Member of Electrical and Science, Science and Research Branch, Islamic Azad university, Ilam, Iran , , Yektaie ، Mohammad Hosein نويسنده Faculty Member of Computer and Science, Abadan branch, Islamic Azad university, Abadan, Iran ,

  • Issue Information
    ماهنامه با شماره پیاپی 23 سال 2013
  • Pages
    10
  • From page
    2681
  • To page
    2690
  • Abstract
    These days, we see many organizations with extremely complex systems with various processes, organizational units, individuals, and information technology support where there are complex relationships among their various elements. In these organizations, poor architecture reduces efficiency and flexibility. Enterprise architecture, with full description of the functions of information technology in the organization, attempts to reduce the complexity of the most efficient tools to reach organizational objectives. Enterprise architecture can better assess the optimal conditions for achieving organizational goals. For evaluating enterprise architecture, executable model need to be applied. Executable model using a static architectural view to describe necessary documents need to be created. Therefore, to make an executable model, we need a requirement to produce products of the enterprise architecture to create an executable model. In this paper, for the production of an enterprise architecture, object-oriented approach is implemented. We present an algorithm to use stereotypes by considering reliability assessment. The approach taken in this algorithm is to improve the reliability by considering additional components in parallel and using redundancy techniques to maintain the minimum number of components. Furthermore, we implement the proposed algorithm on a case study and the results are compared with previous algorithms.
  • Journal title
    Management Science Letters
  • Serial Year
    2013
  • Journal title
    Management Science Letters
  • Record number

    944452