RANDOM TEST GENERATION USING AN OPTIMIZATION SOLVER

A computer-implemented method for verifying a design includes converting test specifications of the design into a set of constraints defined over variables, such that solutions that satisfy the set of constraints define respective valid test cases for verifying the design. An objective function is d...

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Hauptverfasser: SHILOACH YOSSI, NAHIR AMIR
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NAHIR AMIR
description A computer-implemented method for verifying a design includes converting test specifications of the design into a set of constraints defined over variables, such that solutions that satisfy the set of constraints define respective valid test cases for verifying the design. An objective function is defined over at least some of the variables. An optimization process is repeatedly invoked over an input, which includes the set of constraints and the objective function. The input of each invocation is randomly modified, so as to cause the optimization process to produce multiple different solutions that satisfy the set of constraints. Multiple random test cases for verifying a compliance of the design with the specifications are generated, based on the multiple different solutions produced by the optimization process.
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subjects CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
MEASURING
MEASURING ELECTRIC VARIABLES
MEASURING MAGNETIC VARIABLES
PHYSICS
TESTING
title RANDOM TEST GENERATION USING AN OPTIMIZATION SOLVER
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