/**
* 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.coverage.path;
import java.util.ArrayList;
import java.util.List;
import org.evosuite.testcase.ExecutableChromosome;
import org.evosuite.testcase.ExecutionResult;
import org.evosuite.testcase.ExecutionTracer;
import org.evosuite.testcase.TestChromosome;
import org.evosuite.testcase.TestFitnessFunction;
import org.evosuite.testsuite.AbstractTestSuiteChromosome;
import org.evosuite.testsuite.TestSuiteFitnessFunction;
/**
* <p>
* PrimePathSuiteFitness class.
* </p>
*
* @author Gordon Fraser
*/
public class PrimePathSuiteFitness extends TestSuiteFitnessFunction {
private static final long serialVersionUID = 8301900778876171653L;
List<PrimePathTestFitness> goals;
/**
* <p>
* Constructor for PrimePathSuiteFitness.
* </p>
*/
public PrimePathSuiteFitness() {
PrimePathCoverageFactory factory = new PrimePathCoverageFactory();
goals = factory.getCoverageGoals();
ExecutionTracer.enableTraceCalls();
}
/* (non-Javadoc)
* @see org.evosuite.ga.FitnessFunction#getFitness(org.evosuite.ga.Chromosome)
*/
/** {@inheritDoc} */
@Override
public double getFitness(
AbstractTestSuiteChromosome<? extends ExecutableChromosome> suite) {
List<ExecutionResult> results = runTestSuite(suite);
List<TestFitnessFunction> coveredGoals = new ArrayList<TestFitnessFunction>();
double fitness = 0.0;
for (TestFitnessFunction goal : goals) {
double goalFitness = Double.MAX_VALUE;
for (ExecutionResult result : results) {
TestChromosome tc = new TestChromosome();
tc.setTestCase(result.test);
double resultFitness = goal.getFitness(tc, result);
if (resultFitness < goalFitness)
goalFitness = resultFitness;
if (goalFitness == 0.0) {
result.test.addCoveredGoal(goal);
coveredGoals.add(goal);
break;
}
}
fitness += goalFitness;
}
suite.setCoverage(this, coveredGoals.size() / (double) goals.size());
updateIndividual(this, suite, fitness);
return fitness;
}
}