The objective of this paper is to present work on how a Bayesian Belief Network for a software safety standard, can be merged with a BBN on the reliability estimation of software based digital systems. The results on applying BBN methodology with a software safety standard is based upon previous research by the Halden Project, while the results on the reliability estimation is based on a Master’s Thesis by Helminen. The research is also a part in the more long-term activity by the Halden Reactor Project on the use of BBNs as support for safety assessment of programmable systems. In this report it is discussed how the two approaches can be merged together into one Bayesian Network, and the problems with merging are pinpointed
Bayesian Belief Networks (BBNs) are becoming popular within the Software Engineering research commun...
Testing accounts for the major percentage of technical contribution in the software development proc...
Bayesian belief network model was developed in authors' previous research that quantifies the n...
As the instrumentation and control (I&C) systems in nuclear power plants (NPPs) have been replac...
As the instrumentation and control (I&C) systems in nuclear power plants (NPPs) have been replac...
Since the digital instrumentation and control systems are expected to play an important role for the...
Due to the nature of software faults and the way they cause system failures new methods are needed f...
Bayesian belief nets (BBNs) provide an effective way of reasoning under uncertainty. They have a fir...
Abstract The formalism of Bayesian Belief Networks (BBNs) is being increasingly applied to probabili...
Since digital instrumentation and control systems are expected to play an important role in safety s...
Littlewood and Wright presented a Bayesian belief network model for software reliability analysis in...
This paper presents a Bayesian belief network (BBN) approach for socio technical system reliability ...
Since digital instrumentation and control systems are expected to play an essential role in safety s...
An essential issue in the construction of new or in the replacement of the old analogue automation a...
The Bayesian network (BN) is a powerful model for probabilistic knowledge representation and inferen...
Bayesian Belief Networks (BBNs) are becoming popular within the Software Engineering research commun...
Testing accounts for the major percentage of technical contribution in the software development proc...
Bayesian belief network model was developed in authors' previous research that quantifies the n...
As the instrumentation and control (I&C) systems in nuclear power plants (NPPs) have been replac...
As the instrumentation and control (I&C) systems in nuclear power plants (NPPs) have been replac...
Since the digital instrumentation and control systems are expected to play an important role for the...
Due to the nature of software faults and the way they cause system failures new methods are needed f...
Bayesian belief nets (BBNs) provide an effective way of reasoning under uncertainty. They have a fir...
Abstract The formalism of Bayesian Belief Networks (BBNs) is being increasingly applied to probabili...
Since digital instrumentation and control systems are expected to play an important role in safety s...
Littlewood and Wright presented a Bayesian belief network model for software reliability analysis in...
This paper presents a Bayesian belief network (BBN) approach for socio technical system reliability ...
Since digital instrumentation and control systems are expected to play an essential role in safety s...
An essential issue in the construction of new or in the replacement of the old analogue automation a...
The Bayesian network (BN) is a powerful model for probabilistic knowledge representation and inferen...
Bayesian Belief Networks (BBNs) are becoming popular within the Software Engineering research commun...
Testing accounts for the major percentage of technical contribution in the software development proc...
Bayesian belief network model was developed in authors' previous research that quantifies the n...