/** * Copyright (C) 2010-2017 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 <http://www.gnu.org/licenses/>. */ /** * */ 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<TestSuiteChromosome> { private static final long serialVersionUID = 1L; private final ChromosomeFactory<TestSuiteChromosome> defaultFactory; private final TestSuiteChromosome bestIndividual; /** * <p> * Constructor for JUnitTestSuiteChromosomeFactory. * </p> * * @param defaultFactory * a {@link org.evosuite.ga.ChromosomeFactory} object. */ public BIMethodSeedingTestSuiteChromosomeFactory( ChromosomeFactory<TestSuiteChromosome> 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<TestCase> 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; } }