An Integrated Framework for the Assessment of Error Paths and Error Handling Policies

Software-based systems, both distributed and embedded, have reached the point where overall complexities radically increase the chance of errors and jeopardize run-time goals of availability and dependability.  First, the number of operations performed escalates with processor speed and proportionally increases the likelihood of operational errors.  Second, the trend toward increasing cooperative behavior between functions and components that were previously segregated multiplies the number of connections that provide opportunities for error propagation.  Third, systems are expected to operate in dynamic scenarios, wider environmental conditions and greater autonomy that increase the number of system modes that must be analyzed and handled correctly.

In this project, the WW Technology Group and the University of Illinois leverage research and tool developments in the characterization of error propagation effects and multi-modal stochastic modeling technologies to develop next generation techniques and tools that be used to assess and refine system response to the introduction and propagation of error conditions.   By starting with this background, we will augment the WWTG error propagation and analysis theory with policy evaluation in a manner suitable for incorporation into a combination of enhancements to the WWTG EDICT system design and analysis tool suite and the University of Illinois’ Möbius modeling and simulation tool.


Methodology and tool support.


Active for Navy/Office of Naval Research/NRL.


Error Handling Policy, Error Propagation, Stochastic Activity Network (SAN), Model Based Design, Model Based Engineering, EDICT, Dependability Patterns




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