KAOS for Research-Intensive Complex Systems: Smart Metering Case Study Evaluation

  • Selamawit Woldeamlak

Student thesis: Master's Thesis


Complex systems, which are a focus of research and development, exhibit important characteristics that might limit the applicability of traditional systems engineering techniques. These Research-Intensive Complex Systems (RICS) are characterized through the existence of multiple proposed preliminary architectures, no implemented prototypes, no agreed upon standards and protocols, and overall lack of uniform vision of goals and requirements. 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. However, it is important to get goals for RICS right in order to gain early market advantage, satisfy stakeholders, and leverage research investment efforts. This thesis 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 with the implemented goal models.
Date of Award2013
Original languageAmerican English
SupervisorDavor Svetinovic (Supervisor)


  • Complex Systems
  • Systems Engineering; Electric Meters; Smart Power Grids.

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