/** * 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.localsearch; import org.evosuite.EvoSuite; import org.evosuite.Properties; import org.evosuite.Properties.Criterion; import org.evosuite.Properties.SolverType; import org.evosuite.Properties.StoppingCondition; import org.evosuite.SystemTestBase; import org.evosuite.ga.metaheuristics.GeneticAlgorithm; import org.evosuite.testsuite.TestSuiteChromosome; import org.junit.Before; import org.junit.Test; import com.examples.with.different.packagename.dse.DseWithFile; /** * Created by Andrea Arcuri on 19/03/15. */ public class DseWithFileSystemTest extends SystemTestBase { @Before public void init() { Properties.VIRTUAL_FS = true; Properties.VIRTUAL_NET= true; Properties.LOCAL_SEARCH_PROBABILITY = 1.0; Properties.LOCAL_SEARCH_RATE = 1; Properties.LOCAL_SEARCH_BUDGET_TYPE = Properties.LocalSearchBudgetType.TESTS; Properties.LOCAL_SEARCH_BUDGET = 100; Properties.SEARCH_BUDGET = 50000; // Properties.CONCOLIC_TIMEOUT = Integer.MAX_VALUE; Properties.RESET_STATIC_FIELD_GETS = true; } @Test public void testDSE1() { Properties.DSE_SOLVER = SolverType.EVOSUITE_SOLVER; Properties.STOPPING_CONDITION = StoppingCondition.MAXTIME; Properties.SEARCH_BUDGET = 120; // should it be trivial for DSE ? EvoSuite evosuite = new EvoSuite(); String targetClass = DseWithFile.class.getCanonicalName(); Properties.TARGET_CLASS = targetClass; Properties.CRITERION = new Criterion[] {Criterion.BRANCH, Criterion.EXCEPTION}; Properties.MINIMIZE = true; Properties.ASSERTIONS = true; Properties.DSE_PROBABILITY = 1.0; // force using only DSE, no LS 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); } @Test public void testDSE2() { Properties.DSE_SOLVER = SolverType.EVOSUITE_SOLVER; Properties.STOPPING_CONDITION = StoppingCondition.MAXTIME; Properties.SEARCH_BUDGET = 120; // should it be trivial for DSE ? EvoSuite evosuite = new EvoSuite(); String targetClass = DseWithFile.class.getCanonicalName(); Properties.TARGET_CLASS = targetClass; Properties.CRITERION = new Criterion[] {Criterion.BRANCH, Criterion.EXCEPTION}; Properties.MINIMIZE = true; Properties.ASSERTIONS = true; Properties.DSE_PROBABILITY = 1.0; // force using only DSE, no LS 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); } }