Research in Telecommunication Software and Systems
My research in this area concentrates on effective models and techniques
that help us evaluate and improve performance and reliability
for telecommunication software and systems.
Most of my research in this area is conducted in collaboration
and partially funded by
a
Texas THECB/ATP award,
Nortel Networks,
and in laboratory settings at SMU
(
A Laboratory for Telecommunications Management Network Research,
through the MRI program of
National Science Foundation).
Some of my specific research topics include:
Telecommunication Software Testing
Developing models, techniques, and tools to match the
special characteristics of telecommunication software and systems.
Some key elements include:
-
Incremental change and change propagation analysis techniques.
-
Usage scenario analysis and information capturing.
-
Test case generation based on usage patterns and frequencies by
target customers.
-
Testing to ensure real-time properties and performance (also see below).
Much of my research in general software testing,
and particularly in web testing and reliability assurance,
addresses many of the issues above.
Evaluation and Improvement of Telecommunication System
Performance and Reliability
My research in this area focuses on the combination of analytical
and simulation techniques to provide accurate assessment of
telecommunication system performance and reliability.
One of my key interests is the techniques that can be used to
identify bottlenecks for performance and reliability
optimization and improvement.
Unified Techniques for Telecommunication Software Testing,
Performance Evaluation, and Reliability Analysis
We are developing unified models and tools for these purposes.
Common information and structure for each of the individual
activities are captured in our unified Markov models,
that can be used to serve multiple purposes.
We are in the process of developing software tools to support
this approach.
This work is summarized in the following paper:
-
J. Tian and E. Lin,
"Unified Markov Models for Software Testing, Performance Evaluation,
and Reliability Analysis",
4th ISSAT International Conference on Reliability and Quality in Design,
Seattle, Washington,
August 12-14, 1998.
Defect Analysis for Telecommunication Software Products
This research is summarized in the following paper
(see also online abstract):
-
J. Tian, A. Nguyen, C. Allen, and R. Appan,
"Identifying and Characterizing Problem Prone Modules in
Telecommunication Software Systems",
10th International Conf. on Software Quality,
pp.3-15,
New Orleans, LA, Oct. 2000.
Prepared by Jeff Tian
(tian@engr.smu.edu).
Last update July 17, 2001.
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