Requirements Engineering

, Volume 10, Issue 1, pp 22–33 | Cite as

Scenario-based requirements analysis techniques for real-time software systems: a comparative evaluation

  • Hossein SaiedianEmail author
  • Prabha Kumarakulasingam
  • Muhammad Anan
Original Article


One of the most critical phases of software engineering is requirements elicitation and analysis. Success in a software project is influenced by the quality of requirements and their associated analysis since their outputs contribute to higher level design and verification decisions. Real-time software systems are event driven and contain temporal and resource limitation constraints. Natural-language-based specification and analysis of such systems are then limited to identifying functional and non-functional elements only. In order to design an architecture, or to be able to test and verify these systems, a comprehensive understanding of dependencies, concurrency, response times, and resource usage are necessary. Scenario-based analysis techniques provide a way to decompose requirements to understand the said attributes of real-time systems. However they are in themselves inadequate for providing support for all real-time attributes. This paper discusses and evaluates the suitability of certain scenario-based models in a real-time software environment and then proposes an approach, called timed automata, that constructs a formalised view of scenarios that generate timed specifications. This approach represents the operational view of scenarios with the support of a formal representation that is needed for real-time systems. Our results indicate that models with notations and semantic support for representing temporal and resource usage of scenario provide a better analysis domain.


Real-time Requirements engineering  Scenario-based Time-automata 


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Copyright information

© Springer-Verlag London Limited 2004

Authors and Affiliations

  • Hossein Saiedian
    • 1
    Email author
  • Prabha Kumarakulasingam
    • 1
  • Muhammad Anan
    • 2
  1. 1.Electrical Engineering & Computer ScienceUniversity of KansasLawrenceUSA
  2. 2.Sprint CorporationUSA

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