Fault- or event-tree analyses have been used to estimate the probability of a safety-critical device creating a dangerous condition . However, these analysis techniques are less effective for systems reliant on software, and are perhaps least effective in Safety of theIntended Functionality (SOTIF) environments . This paper describes an approach we are considering at BlackBerry QNX: using BayesianBelief Networks to predict defects in embedded software .

Author(s) : Chris Hobbs, Waqar Ahmed

Links : PDF - Abstract

Code :
Coursera

Keywords : software - effective - predict - safety - blackberry -

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