MicroGP

Tool

First seen 6/6/2026

Last seen 8/2/2026

Evidence 16 chunks

NEIGHBORHOOD

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RELATIONSHIPS

29 connections

Genetic Programming implements → 90% 2e

MicroGP is described as a genetic programming-based approach

Instruction Library uses → 100% 2e

MicroGP uses an instruction library as one of its main components

FireDrill uses → 100% 2e

MicroGP uses FireDrill as an external test generator in the verification flow

FireDrill ← compares with 100% 2e

MicroGP is compared against FireDrill in the experiments

Fitness Function uses → 100% 2e

MicroGP uses a fitness function to evaluate and guide test evolution

Branch Coverage uses → 90% 2e

MicroGP's fitness function includes branch coverage

Code Coverage uses → 100% 2e

MicroGP uses code coverage metrics to guide evolution

Feedback-based Coverage Directed Test Generation: An industrial evaluation ← evaluates 100% 2e

The paper evaluates MicroGP on an industrial design

Evolutionary Algorithm implements → 100% 2e

MicroGP uses an evolutionary algorithm to evolve test programs

FirePath evaluates → 90% 1e

MicroGP was evaluated for generating tests for FirePath processor

coverage-directed test generation part of → 85% 1e

MicroGP is one of the CDG techniques evaluated

Broadcom Corporation ← uses 100% 1e

Broadcom evaluated MicroGP in their verification flow

Polytechnic University of Torino ← introduces 100% 1e

MicroGP was developed at the Polytechnic University of Torino

G. Squillero ← introduces 100% 1e

G. Squillero is one of the original authors of MicroGP

simulate_e.pl ← part of 90% 1e

simulate_e.pl is part of the MicroGP verification setup

postprocess.pl ← part of 90% 1e

postprocess.pl is part of the MicroGP verification setup

test program generation uses → 100% 1e

MicroGP generates test programs using evolutionary techniques

toggle coverage uses → 90% 1e

MicroGP's fitness function includes toggle coverage

expression coverage uses → 90% 1e

MicroGP's fitness function includes expression coverage

Coverage-Directed Test Generation implements → 90% 1e

MicroGP uses genetic programming for CDG

Regression Test Suite evaluates → 85% 1e

MicroGP evolved tests are evaluated for use in regression suites

Enhancing Functional Verification with Dynamic Instruction Generation by Exploiting Processor Runtime States ← mentions 90% 1e

The paper references MicroGP as a related evolutionary assembly program generator.

Evolutionary Assembly Program Generation implements → 100% 1e

MicroGP is an evolutionary assembly program generator.

Input and Output Generation for the Verification of ALU: a Use Case ← compares with 80% 1e

MicroGP is mentioned as a related universal stimuli generator for comparison.

G. Squillero authored by → 90% 1e

G. Squillero is the author of MicroGP as cited in the paper.

Mutation Operator uses → 95% 1e

MicroGP uses mutation as a genetic operator

Crossover Operator uses → 95% 1e

MicroGP uses crossover/recombination as a genetic operator

coverage-directed test generation implements → 100% 1e

MicroGP implements Coverage Directed test Generation

RTL uses → 95% 1e

MicroGP generates tests targeting RTL verification