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/**
 * 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.ga.operators.crossover;

import java.util.HashMap;
import java.util.HashSet;
import java.util.Map;
import java.util.Map.Entry;
import java.util.Set;

import org.evosuite.ga.Chromosome;
import org.evosuite.ga.ConstructionFailedException;
import org.evosuite.testcase.TestChromosome;
import org.evosuite.testcase.TestFitnessFunction;
import org.evosuite.testsuite.TestSuiteChromosome;
import org.evosuite.utils.Randomness;


/**
 * 

CoverageCrossOver class.

* * @author Gordon Fraser */ public class CoverageCrossOver extends CrossOverFunction { private static final long serialVersionUID = -2203276450790663024L; /* (non-Javadoc) * @see org.evosuite.ga.CrossOverFunction#crossOver(org.evosuite.ga.Chromosome, org.evosuite.ga.Chromosome) */ /** {@inheritDoc} */ @Override public void crossOver(Chromosome parent1, Chromosome parent2) throws ConstructionFailedException { assert (parent1 instanceof TestSuiteChromosome); assert (parent2 instanceof TestSuiteChromosome); TestSuiteChromosome suite1 = (TestSuiteChromosome) parent1; TestSuiteChromosome suite2 = (TestSuiteChromosome) parent2; // Determine coverage information Map> goalMap = new HashMap>(); populateCoverageMap(goalMap, suite1); populateCoverageMap(goalMap, suite2); // Extract set of tests that have unique coverage // We need all of these tests in both offspring Set unique = removeUniqueCoveringTests(goalMap); logger.debug("Uniquely covering tests: " + unique.size()); Set offspring1 = new HashSet(); Set offspring2 = new HashSet(); Set workingSet = new HashSet(); for (TestFitnessFunction goal : goalMap.keySet()) { workingSet.addAll(goalMap.get(goal)); } int targetSize = workingSet.size() / 2; while (offspring2.size() < targetSize) { logger.debug("Sizes: " + workingSet.size() + ", " + offspring1.size() + ", " + offspring2.size()); // Move a randomly selected redundant test case t from workingset to offspring2 TestChromosome choice = Randomness.choice(workingSet); workingSet.remove(choice); offspring2.add(choice); // Move all tests with unique coverage to offspring 1? offspring1.addAll(removeUniqueCoveringTests(goalMap)); } offspring1.addAll(workingSet); suite1.clearTests(); suite2.clearTests(); // Add unique tests for (TestChromosome test : unique) { suite1.addTest((TestChromosome) test.clone()); suite2.addTest((TestChromosome) test.clone()); } // Add redundancy tests suite1.addTests(offspring1); suite2.addTests(offspring2); logger.debug("Final sizes: " + suite1.size() + ", " + suite2.size()); } /** * Create a map from coverage goal to tests that cover this goal * * @param goalMap * @param suite */ private void populateCoverageMap( Map> goalMap, TestSuiteChromosome suite) { for (TestChromosome test : suite.getTestChromosomes()) { for (TestFitnessFunction goal : test.getTestCase().getCoveredGoals()) { if (!goalMap.containsKey(goal)) goalMap.put(goal, new HashSet()); goalMap.get(goal).add(test); } } } private Set removeUniqueCoveringTests( Map> goalMap) { Set tests = new HashSet(); Set uniqueGoals = new HashSet(); for (Entry> entry : goalMap.entrySet()) { if (entry.getValue().size() == 1) { uniqueGoals.add(entry.getKey()); tests.add(entry.getValue().iterator().next()); } } uniqueGoals.removeAll(uniqueGoals); return tests; } }




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