/** * 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; } }