• DocumentCode
    3530946
  • Title

    Using Scenarios to Discover Requirements for Engine Control Systems

  • Author

    Mavin, Alistair ; Novak, Mark ; Wilkinson, Philip ; Maiden, Neil ; Lynch, Perry

  • Author_Institution
    Rolls-Royce plc, Derby
  • fYear
    2008
  • fDate
    8-12 Sept. 2008
  • Firstpage
    235
  • Lastpage
    240
  • Abstract
    Rolls-Royce control systems are complex, safety critical and developed in ever-compressed timescales. Scenario techniques are utilised during systems design, safety analysis and systems verification. Scenarios can be used to improve requirements quality and to ensure greater confidence in requirements coverage for both normal and exception behaviour. A study was undertaken to investigate whether the ART-SCENE process and tool could enable engineers to identify exception behaviours earlier in the system design process, thus reducing cost and improving quality. ART-SCENE provides automatic generation of scenarios and alternative course events through the Scenario Presenter. These recognition cues are used to prompt engineers to identify deviations that may otherwise be missed. This paper describes a comparative evaluation between ART-SCENE and a standard hazard identification technique to assess the effectiveness of this approach.
  • Keywords
    aerospace engines; program verification; safety-critical software; systems analysis; ART-SCENE scenario; Rolls-Royce control system; aircraft engine control system; ever-compressed timescale; exception behaviour; normal behaviour; requirement discovery; safety analysis; systems analysis; systems verification; Control systems; Costs; Design engineering; Engines; Hazards; Monte Carlo methods; Safety; System analysis and design; Systems engineering and theory; Unified modeling language; HAZOP; Scenario;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    International Requirements Engineering, 2008. RE '08. 16th IEEE
  • Conference_Location
    Catalunya
  • ISSN
    1090-705X
  • Print_ISBN
    978-0-7695-3309-4
  • Type

    conf

  • DOI
    10.1109/RE.2008.41
  • Filename
    4685675