Annals of Software Engineering

, Volume 9, Issue 1–4, pp 5–33 | Cite as

Toward a discipline of scenario‐based architectural engineering

  • Rick Kazman
  • S. Jeromy Carrière
  • Steven G. Woods


Software architecture analysis is a cost‐effective means of controlling risk and maintaining system quality throughout the processes of software design, development and maintenance. This paper presents a sequence of steps that maps architectural quality goals into scenarios that measure the goals, mechanisms that realize the scenarios and analytic models that measure the results. This mapping ensures that design decisions and their rationale are documented in such a fashion that they can be systematically explored, varied, and potentially traded off against each other. As systems evolve, the analytic models can be used to assess the impact of architectural changes, relative to the system's changing quality goals. Although scenarios have been extensively used in software design to understand the ways in which a system meets its operational requirements, there has been little systematic use of scenarios to support analysis, particularly analysis of a software architecture's quality attributes: modifiability, portability, extensibility, security, availability, and so forth. In this paper we present a unified approach to using scenarios to support both the design, analysis and maintenance of software architectures, and examples from large‐scale software development projects where we have applied the approach. We also present a tool, called Brie, that aids in: scenario capture, mapping scenarios to software architectures, and the association of analytic models with particular portions of architectures. The approach that we have devised, and that Brie supports, is a foundation for a discipline of architectural engineering. Architectural engineering is an iterative method of design, analysis and maintenance where design decisions are motivated by scenarios, and are supported by documented analyses.


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Copyright information

© Kluwer Academic Publishers 2000

Authors and Affiliations

  • Rick Kazman
    • 1
  • S. Jeromy Carrière
    • 1
  • Steven G. Woods
    • 1
  1. 1.Software Engineering InstituteCarnegie Mellon UniversityPittsburghUSA E-mail:

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