The Mathworks, Inc.

Dixit Manoj Gangadhar

William James Aldrich

Prahladavaradan Sampath

Ebrahim Mehran Mestchian

Janaki Sivaramakrishnan

Amogh Margoor

A device may analyze, by one or more processors, a model to identify a first set of model elements that are associated with a model element. The device may apply, by the one or more processors, one or more results from an analysis of the model to a first network unit to determine a complexity of the first network unit or a coupling of the first network unit to other model elements of the model. The device may generate, by the one or more processors, a second network unit, representing a second hierarchy of computation, from the first network unit based on the complexity or the coupling. The device may provide, by the one or more processors, the second network unit as a testing unit for testing the model, the second network unit comprising two or more model elements and one or more numeric expressions.

Method and system for improving efficacy of model verification by model partitioning

A system and method extends model verification through the creation of composite test objectives. A composite objective includes two or more logically or temporally combined standard or basic test objectives. The basic test objectives selected to form a composite test may be automatically generated by the system or method, or they may be custom defined. A composite test objective represents a new coverage objective that extends model coverage analysis beyond the coverage that is available with the basic test objectives. The system and method also automatically generates one or more test cases for achieving the composite objective. The test cases include input data values for the model, and may cause the specified logical or temporal combination of basic test objectives to evaluate to true at least once during simulation of the model or according to the temporal combination.

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Bengaluru, India

Dixit Manoj Gangadhar