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A BBN approach to certifying the
reliability of COTS software systems
Yangyang
Yu Johnson, B.W.
Virginia Univ., Charlottesville, VA, USA;
This paper appears in: Reliability and
Maintainability Symposium, 2003. Annual
Publication Date: 2003
On page(s): 19- 24
ISSN: 0149-144X
Number
of Pages: xviii+622
Abstract:
Best practices indicate that totally independent
certification is the only safe approach to take when certifying a
system assembled from COTS software components. We explore one
method of certifying the reliability of COTS software systems in
this paper. Certifying the reliability of a COTS software system can
be problematic, given that we may have incomplete knowledge of a
component and its ability to interact in a reliable manner with
other components; many times, all we have to evaluate is the
behavior of the components as described by their vendor(s) and
evidence gathered during testing. We offer a Bayesian Belief Network
(BBN) that will help us resolve what we believe to be one of the
major areas of uncertainty in certifying the reliability of a COTS
software system and develop a reasoned level of belief in the
reliability of the system in this work. Uncertainty is inherent and
inevitable in software development processes and products. Active
research is being performed in COTS software risk management, and
several achievements have been published. However, uncertainties in
COTS software remain largely unexplored, and this problem has caught
researchers' attention since no one can use a system without the
certain certified reliability. Our overall goal is to develop a
systematic framework to interpret the sources of uncertainties
inherent in COTS software using BBNs. A set of BBNs is designed to
represent different types of uncertainty in the COTS software
certification process. We use the object oriented BBN methodology to
frame all the BBNs related to the set of uncertainties. The BBN will
provide a quantitative measure of the system's reliability.
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