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;
}
}