A framework to define and measure Knowledge-Based Systems Engineering


  • Mastering the definition of the system ontology (Knowledge Processes)
  • Transform the out-of-the-box ontology to your business ontology
  • Sharing and reuse the system and organizational knowledge
  • Designing the quality priorities framework for the project (Quality Processes)
  • Definition of the process and methods to create high quality assets


When we have a goal for quality, it is possible to design a progressive plan to achieve the desired quality by continuous improvement milestones. Then, the System Knowledge should be modelled according to theses milestones to ensure the proper integration of the technology within the organization processes and people, without jeopardizing the achievement of the quality goals.

The main objective of this course is to analyze the main processes to model the System Knowledge by applying the RQS Technology, analyze the main roles involved in such processes and discuss about advantages and risks from the management perspective.

Pre-Requirements / Who should attend

  • Quality managers
  • Knowledge managers
  • Ontology managers


  1. Smart assets development: using the knowledge
    1. What is an ontology
    2. Why do we need the system knowledge to develop requirements?
    3. Knowledge capitalization to improve the requirements
  2. Modeling the system knowledge: the process
    1. How do we introduce the approach in the current processes?
    2. Knowledge management: the concept of libraries
    3. Knowledge sharing and reuse
  3. Defining the organizational quality priorities based on the knowledge assets
    1. How to design the requirements quality framework?
    2. The continuous improvement process for requirements quality
    3. How do engineers feel quality evolution?
    4. Design the process to improve requirements quality


Duration: 1 day

Timetable: from 9am to 6pm (a break for lunch and two more coffee breaks)


Elena Gallego. Leading Consultant at The REUSE Company.


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