Acoustics & Sonar Engineering Radar, Missiles & Defense Systems ...

Test Design and Analysis
Getting the Right Results from a Test Requires Effective Test Design
Systems are growing more complex and are
developed at high stakes. With unprecedented
complexity, effective test engineering plays an
essential role in development. Student groups
participate in a detailed practical exercise
designed to demonstrate the application of
testing tools and methods for system evaluation.
Summary
This three-day course is designed for military and
commercial program managers, systems engineers,
test project managers, test engineers, and test
analysts. The focus of the course is giving
individuals practical insights into how to acquire and
use data to make sound management and technical
decisions in support of a development program.
Numerous examples of test design or analysis “traps
or pitfalls” are highlighted in class. Many design
methods and analytic tools are introduced.
Instructor
Dr. Scott Workinger has led projects in
Manufacturing, Eng. & Construction,
and Info. Tech. for 30 years. His
projects have made contributions
ranging from increasing optical fiber
bandwidth to creating new CAD
technology.
He currently teaches courses on
management and engineering and consults on
strategic issues in management and technology.
He holds a Ph.D. in Engineering from Stanford.
Course Outline
1. Testing and Evaluation. Basic concepts for
testing and evaluation. Verification and validation
concepts. Common T&E objectives. Types of
Test. Context and relationships between T&E and
systems engineering. T&E support to acquisition
programs. The Test and Evaluation Master Plan
(TEMP).
2. Testability. What is testability? How is it
achieved? What is Built in Test? What are the
types of BIT and how are they applied?
3. A Well Structured Testing and Evaluation
Program. - What are the elements of a well
structured testing and evaluation program? How
do the pieces fit together? How does testing and
evaluation fit into the lifecycle? What are the
levels of testing?
4. Needs and Requirements. Identifying the
need for a test. The requirements envelope and
how the edge of the envelope defines testing.
Understanding the design structure.
Stakeholders, system, boundaries, motivation for
a test. Design structure and how it affects the test.
October 31 - November 2, 2011
Columbia, Maryland
$1490 (8:30am - 4:30pm)
"Register 3 or More & Receive $100 00 each
Off The Course Tuition."
5. Issues, Criteria and Measures. Identifying
the issues for a test. Evaluation planning
techniques. Other sources of data. The
Requirements Verification Matrix. Developing
evaluation criteria: Measures of Effectiveness
(MOE), Measures of Performance (MOP). Test
planning analysis: Operational analysis,
engineering analysis, Matrix analysis, Dendritic
analysis. Modeling and simulation for test
planning.
6. Designing Evaluations & Tests. Specific
methods to design a test. Relationships of
different units. input/output analysis - where test
variable come from, choosing what to measure,
types of distributions. Statistical design of tests –
basic types of statistical techniques, choosing the
techniques, variability, assumptions and pitfalls.
Sequencing test events - the low level tactics of
planning the test procedure.
7. Conducting Tests. Preparation for a test.
Writing the report first to get the analysis methods
in place. How to work with failure. Test
preparation. Forms of the test report. Evaluating
the test design. Determining when failure occurs.
8. Evaluation. Analyzing test results.
Comparing results to the criteria. Test results and
their indications of performance. Types of test
problems and how to solve them. Test failure
analysis - analytic techniques to find fault. Test
program documents. Pressed Funnels Case
Study - How evaluation shows the path ahead.
9. Testing and Evaluation Environments. 12
common testing and evaluation environments in a
system lifecycle, what evaluation questions are
answered in each environment and how the test
equipment and processes differ from environment
to environment.
10. Special Types and Best Practices of
T&E. Survey of special techniques and best
practices. Special types: Software testing, Design
for testability, Combined testing, Evolutionary
development, Human factors, Reliability testing,
Environmental issues, Safety, Live fire testing,
Interoperability. The Nine Best Practices of T&E.
11. Emerging Opportunities and Issues
with Testing and Evaluation. The use of
prognosis and sense and respond logistics.
Integration between testing and simulation. Large
scale systems. Complexity in tested systems.
Systems of Systems.
Register online at www.ATIcourses.com or call ATI at 888.501.2100 or 410.956.8805 Vol. 109 – 33