| Overview: |
This
tutorial will discuss three ways to characterize a system: (a)
models, (b) requirements, and (c) design. We will show how a
system architecture serves to integrate these three aspects
of the system. This leads to a more model-driven systems approach
and allows you to "discover" the essential attributes of the
problem space that must be addressed by the system solution.
The architecture models are where these essential attributes
are defined and evaluated. The architecture also provides the
unifying framework for exploration of the problem space and
for characterization of the solution space such that better
decisions can be made. This tutorial will describe an approach
for the flowdown from the system purpose or mission need, down
through operational requirements and concept of operations,
and finally into system and lower-level specifications. How
and when to model different aspects of the system will be discussed.
We will also talk about the benefits and limitations of modeling
and simulation. Another important topic to be covered is system
threads and scenarios. In addition to the basic flowdown of
requirements, we will show how Architecture Frameworks can be
used to model and analyze complex systems. A document tree template
is described to assist a project in the generation of the technical
documentation necessary for the organized development of systems.
|
| Biography: |
Steven
Heidorn is a highly accomplished systems engineer with over
twenty years' experience across a wide range of defense, intelligence
and commercial systems. As a lead systems engineer, development
engineering manager and chief engineer at IBM Federal Systems,
he developed real-time, software-intensive, radar and sonar
signal processing systems. At the MITRE Corporation, he developed
concepts for software-reconfigurable sensor and communications
processing systems and contributed to the architecture of
the Joint Tactical Radio System. At the Aerospace Corporation,
he provides system engineering and system architecting expertise
across a wide range of information-intensive commercial, civil
and intelligence systems and also teaches at The Aerospace
Institute. Mr. Heidorn holds BS and MS degrees in electrical
engineering from the University of Illinois at Urbana-Champaign
and has done additional postgraduate work in statistical communication
theory at George Mason University.
Earlier Presentations:
INCOSE WMA Chapter Tutorial, 2002
INCOSE Symposium Tutorial, 2002
INCOSE Symposium Tutorial, 2003
AIAA Tutorial, 2004
GSAW Tutorial, 2004
AIAA Tutorial, 2005
GSAW Tutorial, 2005 |
