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Requirements Engineering

, Volume 3, Issue 1, pp 23–47 | Cite as

A proposal for a scenario classification framework

  • C. Rolland
  • C. Ben Achour
  • C. Cauvet
  • J. Ralyté
  • A. Sutcliffe
  • N. Maiden
  • M. Jarke
  • P. Haumer
  • K. Pohl
  • E. Dubois
  • P. Heymans
Article

Abstract

The requirements engineering, information systems and software engineering communities recently advocated scenario-based approaches which emphasise the user/system interaction perspective in developing computer systems. Use of examples, scenes, narrative descriptions of contexts, mock-ups and prototypes-all these ideas can be called scenario-based approaches, although exact definitions are not easy beyond stating that these approaches emphasise some description of the real world. Experience seems to tell us that people react to ‘real things’ and that this helps in clarifying requirements. Indeed, the widespread acceptance of prototyping in system development points to the effectiveness of scenario-based approaches. However, we have little understanding about how scenarios should be constructed, little hard evidence about their effectiveness and even less idea about why they work.

The paper is an attempt to explore some of the issues underlying scenario-based approaches in requirements engineering and to propose a framework for their classification. The framework is a four-dimensional framework which advocates that a scenario-based approach can be well defined by itsform, content, purpose andlife cycle. Every dimension is itself multifaceted and a metric is associated with each facet. Motivations for developing the framework are threefold: (a) to help in understanding and clarifying existing scenario-based approaches; (b) to situate the industrial practice of scenarios; and (c) to assist researchers develop more innovative scenario-based approaches.

Keywords

Requirement Engineering Scenario Approach Context Facet Instance Scenario Task Scenario 
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 1998

Authors and Affiliations

  • C. Rolland
    • 1
  • C. Ben Achour
    • 1
  • C. Cauvet
    • 1
  • J. Ralyté
    • 1
  • A. Sutcliffe
    • 2
  • N. Maiden
    • 2
  • M. Jarke
    • 3
  • P. Haumer
    • 3
  • K. Pohl
    • 3
  • E. Dubois
    • 4
  • P. Heymans
    • 4
  1. 1.University of ParisParis Cedex 05France
  2. 2.City UniversityLondonUK
  3. 3.RWTHLehrstuhl Informatik V AachenAachenGermany
  4. 4.UNDPUniversity of NamurNamurBelgium

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