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QOSA
2007
Springer

A Bayesian Model for Predicting Reliability of Software Systems at the Architectural Level

9 years 5 months ago
A Bayesian Model for Predicting Reliability of Software Systems at the Architectural Level
: Modern society relies heavily on complex software systems for everyday activities. Dependability of these systems thus has become a critical feature that determines which products are going to be successfully and widely adopted. In this paper, we present an approach to modeling reliability of software systems at the architectural level. Dynamic Bayesian Networks are used to build a stochastic reliability model that relies on standard models of software architecture, and does not require implementation-level artifacts. Reliability values obtained via this approach can aid the architect in evaluating design alternatives. The approach is evaluated using sensitivity and uncertainty analysis.
Roshanak Roshandel, Nenad Medvidovic, Leana Golubc
Added 09 Jun 2010
Updated 09 Jun 2010
Type Conference
Year 2007
Where QOSA
Authors Roshanak Roshandel, Nenad Medvidovic, Leana Golubchik
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