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org.evosuite.seeding.factories.BIMethodSeedingTestSuiteChromosomeFactory Maven / Gradle / Ivy

/**
 * Copyright (C) 2010-2018 Gordon Fraser, Andrea Arcuri and EvoSuite
 * contributors
 *
 * This file is part of EvoSuite.
 *
 * EvoSuite is free software: you can redistribute it and/or modify it
 * under the terms of the GNU Lesser General Public License as published
 * by the Free Software Foundation, either version 3.0 of the License, or
 * (at your option) any later version.
 *
 * EvoSuite is distributed in the hope that it will be useful, but
 * WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
 * Lesser Public License for more details.
 *
 * You should have received a copy of the GNU Lesser General Public
 * License along with EvoSuite. If not, see .
 */
/**
 * 
 */
package org.evosuite.seeding.factories;

import java.util.List;

import org.evosuite.Properties;
import org.evosuite.ga.ChromosomeFactory;
import org.evosuite.testcase.TestCase;
import org.evosuite.testsuite.TestSuiteChromosome;
import org.evosuite.utils.Randomness;

/**
 * @author Thomas White
 */
public class BIMethodSeedingTestSuiteChromosomeFactory implements
		ChromosomeFactory {

	private static final long serialVersionUID = 1L;

	private final ChromosomeFactory defaultFactory;
	private final TestSuiteChromosome bestIndividual;

	/**
	 * 

* Constructor for JUnitTestSuiteChromosomeFactory. *

* * @param defaultFactory * a {@link org.evosuite.ga.ChromosomeFactory} object. */ public BIMethodSeedingTestSuiteChromosomeFactory( ChromosomeFactory defaultFactory, TestSuiteChromosome bestIndividual) { this.defaultFactory = defaultFactory; this.bestIndividual = bestIndividual; } /* * (non-Javadoc) * * @see org.evosuite.ga.ChromosomeFactory#getChromosome() */ /** {@inheritDoc} */ @Override public TestSuiteChromosome getChromosome() { /* * double P_delta = 0.1d; double P_clone = 0.1d; int MAX_CHANGES = 10; */ TestSuiteChromosome chromosome = defaultFactory.getChromosome(); int numTests = chromosome.getTests().size(); // reduce seed probablility by number of tests to be generated final double SEED_CHANCE = Properties.SEED_PROBABILITY / numTests; for (int i = 0; i < numTests; i++) { if (Randomness.nextDouble() < SEED_CHANCE) { int testSize = bestIndividual.getTests().size(); TestCase test = bestIndividual.getTests().get(Randomness.nextInt(testSize)); if (test != null) { List tests = chromosome.getTests(); tests.remove(i); tests.add(i, test); chromosome.clearTests(); for (TestCase t : tests){ chromosome.addTest(t); } } } // chromosome.tests.add(test); } return chromosome; } }




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