/**
* 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.basic;
import static org.junit.Assert.assertEquals;
import com.examples.with.different.packagename.Compositional;
import org.evosuite.EvoSuite;
import org.evosuite.Properties;
import org.evosuite.Properties.Algorithm;
import org.evosuite.Properties.Criterion;
import org.evosuite.SystemTestBase;
import org.evosuite.coverage.branch.BranchCoverageSuiteFitness;
import org.evosuite.coverage.exception.ExceptionCoverageSuiteFitness;
import org.evosuite.coverage.method.MethodTraceCoverageSuiteFitness;
import org.evosuite.coverage.method.MethodNoExceptionCoverageSuiteFitness;
import org.evosuite.coverage.io.output.OutputCoverageSuiteFitness;
import org.evosuite.coverage.line.LineCoverageSuiteFitness;
import org.evosuite.ga.FitnessFunction;
import org.evosuite.ga.metaheuristics.GeneticAlgorithm;
import org.evosuite.testsuite.TestSuiteChromosome;
import org.junit.After;
import org.junit.Assert;
import org.junit.Before;
import org.junit.Test;
import com.examples.with.different.packagename.defuse.DefUseExample1;
import com.examples.with.different.packagename.defuse.GCD;
import java.util.Map;
/**
* @author Jose Miguel Rojas
*/
public class CompositionalFitnessSystemTest extends SystemTestBase {
private final double ANY_DOUBLE_1 = 2.0;
private final double ANY_DOUBLE_2 = 5.0;
private final double ANY_DOUBLE_3 = 6.0;
private final double ANY_DOUBLE_4 = 3.0;
private static final Criterion[] defaultCriterion = Properties.CRITERION;
@Before
public void beforeTest() {
Properties.ALGORITHM = Algorithm.MONOTONICGA;
Properties.LOG_LEVEL = "debug";
Properties.PRINT_TO_SYSTEM = true;
Properties.CLIENT_ON_THREAD = true;
Properties.ASSERTIONS = false;
}
@After
public void afterTest() {
Properties.CRITERION = defaultCriterion;
}
@Test
public void testCompositionalTwoFunction() {
EvoSuite evosuite = new EvoSuite();
String targetClass = DefUseExample1.class.getCanonicalName();
Properties.TARGET_CLASS = targetClass;
Properties.CRITERION = new Properties.Criterion[2];
Properties.CRITERION[0] = Criterion.DEFUSE;
Properties.CRITERION[1] = Criterion.METHODNOEXCEPTION;
String[] command = new String[]{"-generateSuite", "-class", targetClass};
Object result = evosuite.parseCommandLine(command);
GeneticAlgorithm<?> ga = getGAFromResult(result);
TestSuiteChromosome best = (TestSuiteChromosome) ga.getBestIndividual();
System.out.println("EvolvedTestSuite:\n" + best);
Map<FitnessFunction<?>, Double> fitnesses = best.getFitnessValues();
double sum = 0.0;
double cov = 0.0;
for (FitnessFunction<?> fitness : fitnesses.keySet()) {
sum += fitnesses.get(fitness);
cov += best.getCoverage(fitness);
assert (fitnesses.get(fitness) == best.getFitness(fitness));
}
cov = cov / best.getCoverageValues().size();
Assert.assertEquals("Inconsistent fitness: ", sum, best.getFitness(), 0.001);
Assert.assertEquals("Inconsistent coverage: ", cov, best.getCoverage(), 0.001);
Assert.assertEquals("Non-optimal coverage: ", 1d, best.getCoverage(), 0.001);
}
@Test
public void testGCDExample() {
EvoSuite evosuite = new EvoSuite();
String targetClass = GCD.class.getCanonicalName();
Properties.TEST_ARCHIVE = true;
Properties.TARGET_CLASS = targetClass;
Properties.CRITERION = new Properties.Criterion[2];
Properties.CRITERION[0] = Criterion.ONLYBRANCH;
Properties.CRITERION[1] = Criterion.ONLYMUTATION;
Properties.ANALYSIS_CRITERIA = "OnlyBranch,ONLYMUTATION,METHOD,exception";
String[] command = new String[]{"-generateSuite", "-class", targetClass};
Object result = evosuite.parseCommandLine(command);
GeneticAlgorithm<?> ga = getGAFromResult(result);
TestSuiteChromosome best = (TestSuiteChromosome) ga.getBestIndividual();
System.out.println("EvolvedTestSuite:\n" + best);
Assert.assertEquals("Non-optimal coverage: ", 1d, best.getCoverage(), 0.001);
}
@Test
public void testGetFitnessForNoFunctionNoCompositional() {
TestSuiteChromosome c = new TestSuiteChromosome();
assertEquals(0.0, c.getFitness(), 0.001);
}
@Test
public void testCompositionalGetFitnessForNoFunction() {
TestSuiteChromosome c = new TestSuiteChromosome();
assertEquals(0.0, c.getFitness(), 0.001);
}
@Test
public void testCompositionalGetFitnessForOneFunction() {
TestSuiteChromosome c = new TestSuiteChromosome();
LineCoverageSuiteFitness f1 = new LineCoverageSuiteFitness();
c.addFitness(f1);
c.setFitness(f1, ANY_DOUBLE_1);
assertEquals(ANY_DOUBLE_1, c.getFitness(), 0.001);
}
@Test
public void testCompositionalGetFitnessForTwoFunctions() {
TestSuiteChromosome c = new TestSuiteChromosome();
LineCoverageSuiteFitness f1 = new LineCoverageSuiteFitness();
c.addFitness(f1);
c.setFitness(f1, ANY_DOUBLE_1);
BranchCoverageSuiteFitness f2 = new BranchCoverageSuiteFitness();
c.addFitness(f2);
c.setFitness(f2, ANY_DOUBLE_2);
assertEquals(ANY_DOUBLE_1 + ANY_DOUBLE_2, c.getFitness(), 0.001);
}
@Test
public void testCompositionalGetFitnessForSeveralFunctions() {
Properties.TARGET_CLASS = Compositional.class.getCanonicalName();
TestSuiteChromosome c = new TestSuiteChromosome();
MethodTraceCoverageSuiteFitness f1 = new MethodTraceCoverageSuiteFitness();
c.addFitness(f1);
c.setFitness(f1, ANY_DOUBLE_1);
MethodNoExceptionCoverageSuiteFitness f2 = new MethodNoExceptionCoverageSuiteFitness();
c.addFitness(f2);
c.setFitness(f2, ANY_DOUBLE_2);
OutputCoverageSuiteFitness f3 = new OutputCoverageSuiteFitness();
c.addFitness(f3);
c.setFitness(f3, ANY_DOUBLE_3);
ExceptionCoverageSuiteFitness f4 = new ExceptionCoverageSuiteFitness();
c.addFitness(f4);
c.setFitness(f4, ANY_DOUBLE_4);
double sum = ANY_DOUBLE_1 + ANY_DOUBLE_2 + ANY_DOUBLE_3 + ANY_DOUBLE_4;
assertEquals(sum, c.getFitness(), 0.001);
}
}