Analysis And Prediction Of Set-Top-Box Reliability In Multi-Application Environments Using Artificial Intelligence Techniques (2004)
By Louis P. Slothouber
We present an Artificial Intelligence based method for improving the reliability of software applications, especially in digital cable TV set-top-box and other embedded environments. Initially a small finite state model of the software system and all relevant applications is constructed to define all user input events and application states of interest. A small set of expert system rules is then defined that analyzes state transitions in testing data. When these rules are applied to actual testing data a quantitative measure of suspicion is assigned to all event transitions in the original finite state model. Analysis of this annotated model can then uncover the source of otherwise intermittent inter-application failures.
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