User Bar First

This is a debugging block

User Bar Second

This is a debugging block

Branding

This is a debugging block


 

Header First

This is a debugging block

Header Second

This is a debugging block

Preface First

This is a debugging block

Preface Second

This is a debugging block

Preface Third

This is a debugging block

Content

This is a debugging block

Corroboration Testing

Wed, 02/01/2012 - 11:51 -- jkenkwof
Faculty Advisor(s): 
William D. Miller, Adjunct Faculty
Faculty Email(s): 
william.miller@stevens.edu
Program: 
Systems Engineering
Project Title: 
Corroboration Testing
Description: 

The large dimensional space of complex systems and resource constraints preclude exhaustive testing and even significant statistical confidence testing in both verification and validation. Empirical approaches to reducing the number of test cases include equivalence partition sampling, boundary value testing, and orthogonal design of experiments for black box testing; and limited numbers of white-box test points. These approaches can be used a priori to bound the number of test cases. Corroboration is determined from statistical testing that changes the degree of belief in the hypothesis about a system. This project is to identify opportunities and assess the benefits of corroboration testing compared to alternative approaches.

References: 
  1. Glenford J. Meyers, The Art of Software Testing, John Wiley & Sons, 1979.
  2. Lawrence Bernstein and C. M. Yuhas, Trustworthy Systems Through Quantitative Software Engineering, John Wiley & Sons, 2005.
  3. Wiley J. Larson, et ai, editors, Applied Space Systems Engineering, McGraw-Hili, New York, 2009.
  4. Jans Tretmans, editor, Tangram: Model-based integration and testing of complex high-tech systems, Embedded Systems Institute, Eindhoven, The Netherlands, 2007.
  5. Benjamin S. Blanchard, Dinesh Verma and Elmer R. Peterson, Maintainability: A Key to Effective Serviceability and Maintenance Management, Wiley, New York, 1995.
  6. Matthew B. Miles and A. Michael Huberman, Qualitative Data Analysis, Second Edition, SAGE Publications, Inc., Thousand Oaks, California, 1994.
  7. Bojan Cukic, et ai, The Theory of Software Reliability Corroboration, IEICE Transactions on Information and Systems, Vol. E86-D, No. 10, October 2003.
Student Requirements: 

Beyond the four core systems engineering courses, satisfactory completion of SYS/SDOE 611, 660, and/or professional model-based testing experience is desirable.

Send the faculty advisor an email to get additional information on this topic.
Please enter your full name.
Please select a SSE Program.
Please select a term.
Please provide a short message.
CAPTCHA
This question is for testing whether you are a human visitor and to prevent automated spam submissions.
Image CAPTCHA
Enter the characters shown in the image.

Postscript First

This is a debugging block

Postscript Second

This is a debugging block

Postscript Third

This is a debugging block

Postscript Fourth

This is a debugging block