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Goal‐Oriented Requirements Engineering for Research‐Intensive Complex Systems: A Case Study

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  • Selamawit Woldeamlak
  • Ali Diabat
  • Davor Svetinovic

Abstract

Complex systems in research and development exhibit important characteristics that might present significant systems engineering challenges due to lack of clear customers, system goals, previous development experience, etc. Such systems are characterized through the existence of multiple proposed preliminary architectures, no implemented prototypes, and no agreed upon standards and protocols. We refer to these systems as Research‐Intensive Complex Systems (RICS). RICS requirements are not well‐defined, and RICS are exposed to a wide variety of risks and uncertainties. The main source of the RICS domain knowledge, requirements, and goals are research publications and reports. There is often a lack of clear goals, and many goals are ambiguous or conflicting. This paper evaluates the effectiveness of the Knowledge Acquisition in autOmated Specification (KAOS) method applied to smart metering system, as an example of a sustainability‐related RICS. The evaluation is performed using a set of qualitative criteria with respect to KAOS's ability to elicit and specify goals for RICS in comparison to the implemented goal models.

Suggested Citation

  • Selamawit Woldeamlak & Ali Diabat & Davor Svetinovic, 2016. "Goal‐Oriented Requirements Engineering for Research‐Intensive Complex Systems: A Case Study," Systems Engineering, John Wiley & Sons, vol. 19(4), pages 322-333, July.
  • Handle: RePEc:wly:syseng:v:19:y:2016:i:4:p:322-333
    DOI: 10.1002/sys.21355
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    References listed on IDEAS

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    1. Nauman Zafar & Edin Arnautovic & Ali Diabat & Davor Svetinovic, 2014. "System Security Requirements Analysis:A Smart Grid Case Study," Systems Engineering, John Wiley & Sons, vol. 17(1), pages 77-88, March.
    2. Davor Svetinovic, 2013. "Strategic requirements engineering for complex sustainable systems," Systems Engineering, John Wiley & Sons, vol. 16(2), pages 165-174, June.
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