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Automating Architecture Trade-Off Decision Making through a Complex Multi-attribute Decision Process

  • Majid Makki
  • Ebrahim Bagheri
  • Ali A. Ghorbani
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5292)

Abstract

A typical software architecture design process requires the architects to make various trade-off architecture decisions. The architects need to consider different possibilities and combinations of tactics and patterns to satisfy the elicited quality scenarios of the intended software system, some of which may be conflicting or inconsistent in nature. The formation of the correct composition of these elements of architecture decisions for the satisfaction of the quality scenarios can be considered an important art of the architect; however, in cases where the architect is dealing with multiple stakeholders with inconsistent preferences, this can be an awkward task. In this paper, we formalize this process as a complex multi-attribute decision making procedure within the Attribute Driven Design methodology. In such a context, we are able to incrementally elicit the communal preferences of the stakeholders with regards to the available quality scenarios and hence assist the software architect in methodically making the architecture decisions with the highest expected utility for the stakeholders.We will also introduce our implementation of a decision support system, which embodies the methods proposed in this paper, along with a case study.

Keywords

Decision Support System Software Architecture Optimal Decision Preference Elicitation Gaussian Probability Distribution 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Majid Makki
    • 1
  • Ebrahim Bagheri
    • 1
  • Ali A. Ghorbani
    • 1
  1. 1.Faculty of Computer ScienceUniversity of New BrunswickFrederictonCanada

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