Research Agenda
SECOE maintains and updates a list of desired research topics that
are of interest to systems engineering. The list is reviewed and prioritized
by the SECOE leadership. Topics may be
suggested for addition or deletion by contacting secoe@incose.org.
There are six major areas of desired research:
Follow this link for examples of possible research
topics
Priority Research Topics
SECOE believes these specific topics to be of highest priority. Research
into these topics could result in significant (2x or greater!) cost
savings or quality improvements in systems development.
- Statistical research to quantify the use and effects of systems
engineering
- How to compress the systems engineering process, with sensitivity
analysis (cost, schedule, quality) to define what is lost by compression
- Cost estimation methods for systems engineering
- Relative cost of requirements changes - can expand to similar
topics such as relative cost of tests, relative costs of analysis,
etc.
- Predictions of the quality associated with levels of maturity
- based on EIA/IS-731
and/or the CMMI
1.0 Value of Systems Engineering
Background
Systems engineering is often thought to be expensive. Much of its cost
is incurred up front. Its outputs do not directly produce revenue. Its
benefits only appear after time has passed. It is not obvious how systems
engineering contributes to the design process. Yet project after project
chooses heuristically to use the methods of systems engineering.
Description
The purpose of this major topic is to develop
knowledge concerning the true value of systems engineering.
It is a commonly held belief that systems engineering produces a better
and cheaper system and does it faster, yet there is no existing proof
for this belief. We want to prove that systems engineering adds value,
and that the lack of systems engineering causes cost and schedule overruns.
More specifically, we want to develop a proven base of knowledge to
guide managers in how much and what kinds of systems engineering to
apply to a given project.
Projects
| NBR |
TITLE |
CATEGORY |
INCOSE TC |
STATUS |
| 01-03 |
Value of SE |
Research |
Measurement |
Active |
Possible research topics
2.0 SE Processes and Process
Improvement
Background
Today's evolving standards and capability maturity models for systems
engineering have been developed from a diverse basis of heuristic, experiential
knowledge. They represent the processes that have been used, rather
than advancement of what might be. One result of this chaotic basis
is the ongoing debate over acceptability of these standards and models.
Theoretical and empirical research is required to establish the qualitative
and quantitative correlation between the defined processes and cost
savings, quality, and product performance
Description
This major topic includes analysis of systems engineering processes
to develop a theoretically sound and fully connected
set of useful processes. It is expected that the theory will
integrate from fields as diverse as decision theory, chaos theory, and
combinatorial mathematics. Research will consider the varied needs of
(1) different economic sectors, (2) different types of markets (sole
source, single customer, free market, global markets), (3) different
scales of product complexity, (4) different production quantities from
one-of-a-kind to mass production, and (5) different types of design
from incremental redesign to break-through innovation. Theoretical and
empirical proof includes the concepts of faster, better, cheaper metrics
to measure process improvement.
Projects
| NBR |
TITLE |
CATEGORY |
INCOSE TC |
STATUS |
| 99-01 |
SE Case Studies |
Practice |
Education & Research |
Active |
Possible research topics
3.0 SE Methods
Background
Systems engineering methods are used to implement systems engineering
processes. They are the specific techniques and tasks performed by engineers
within the context of a system development. Far too often, the methods
selected are dependent on the experience of the team members, not on
the effectiveness of the method. Further, the effectiveness of any given
method varies widely from application to application due to variances
in team experience or project characteristics. As a result, many methods
take on the characteristics of art rather than engineering.
Description
This major topic is to develop a theoretical
basis for known methods while extending the processes with new theories
and new methods. Methods from other fields may also apply
to advance systems engineering. Theoretic and practical constraints
will bound each specific method to help practitioners know how and when
to use it. Specifically, improvements in systems engineering methods
are needed to (1) articulate and establish shared visions of problems,
(2) identify and design alternative solutions, (3) perform trade studies
and make decisions, (4) assess and manage risks, (4) verify and validate
solutions, and (5) capture all information generated in the process.
Projects
Possible research topics
4.0 SE Automation
Background
Automation is providing computer-based tools to implement systems engineering
methods faster, better and cheaper. An important research issue is to
define and articulate the need for automation of specific systems engineering
methods such that tool makers can create tools that better meet the
needs of the systems engineer.
Description
This major topic includes the analysis and proof
of automation effectiveness when applied to specific methods under specific
conditions. Applied research is required to define realistic
and complex test cases for benchmark studies. Analysis and benchmarking
must consider the application of systems engineering methods in realistic
environments, including the necessity for interfaces among the varied
members of a team environment.
Possible research topics
5.0 Human Issues in Systems
Background
Humans nearly always interact in some way with product systems. Whether
this interaction is direct as in user-oriented software systems, or
indirect as in automated environmental monitoring, or integral as in
aircraft piloting, the humans in relation to the product system determine
the acceptability of that product. Ergonomics is only one factor of
many that come into play. Human issues significantly impact the success
of a system project.
Description
This major topic includes research into the
impacts of human issues on systems engineering. In the product
environment, what functions can humans perform better than system components,
and how best can these human features be designed into the system? How
will variance in human responses affect the operability of the system?
This area of research must draw from the knowledge and efforts of the
social and behavioral sciences, and either attract those researchers
to address systems engineering human issues or apply results of such
research.
Possible research topics
6.0 Human Issues in Systems
Engineering
Background
The organizations that engineer complex systems are themselves systems,
yet these highly complex and variable systems are only poorly understood.
A successful, cohesive team may fail after a string of successes, for
completely unforeseen reasons. Can the processes and methods developed
to engineer systems be applied to human organizational systems, or are
different processes and methods required? Are there unique management
problems in the engineering of complex systems that are not encountered
in general management? Knowing how the organizational system works can
help industry to develop better systems engineering teams.
Description
This major topic draws from the fields of management, personnel development,
and organizational psychology to develop and
prove methods for the creation of effective engineering teams.
Theories will consider the variability in individuals as well as the
constraints of project characteristics, product needs, and corporate
values. It is expected that multiple solutions are valid, applicable
to different conditions. Research in this area includes methods for
the development and training of systems engineers.
Possible research topics
Page last modified 30 Jul 03
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