Model Based Systems Engineering: Issues of Application to Soft Systems
Abstract
Projects often seek to deliver new or improved capabilities within complex, poorly defined and changing contexts. The application of MBSE under such circumstances can be problematic and in this paper we discuss these issues, and suggest approaches for their mitigation. A particular system solution might be envisaged as a combination of subsystems connected through a common architecture. Systems thinking suggests that given clear requirements and a solution concept, one can move forward through the definition of subsystem capabilities and the system architecture where MBSE is particularly useful. However, in many applications the degree of turbulence or evolution within the requirements that can be expected means that close human intervention is necessary to keep the solution fit for purpose. Moreover, this human intervention must be based on significant experience and domain knowledge so as to cope with the many Soft System issues that are likely to be present. At University College London (UCL) Centre for Systems Engineering we propose five principles that we believe should underpin all SE development projects. In this work we discuss these principles and their application to MBSE within a Soft System context.
Document Details
- Document Type
- Technical Report
- Publication Date
- Nov 01, 2012
- Accession Number
- ADA621967
Entities
People
- Ady James
- Alan Smith
- Michael Emes
Organizations
- University College London