/** * 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.runtime; import org.evosuite.EvoSuite; import org.evosuite.Properties; import org.evosuite.SystemTestBase; import org.evosuite.ga.metaheuristics.GeneticAlgorithm; import org.evosuite.strategy.TestGenerationStrategy; 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.CurrentTime; import com.examples.with.different.packagename.CurrentTimeViaCalendar; import com.examples.with.different.packagename.CurrentTimeViaCalendar1; import com.examples.with.different.packagename.CurrentTimeViaCalendar2; import com.examples.with.different.packagename.CurrentTimeViaCalendar3; import com.examples.with.different.packagename.CurrentTimeViaCalendarParameter; import com.examples.with.different.packagename.CurrentTimeViaDate; import com.examples.with.different.packagename.CurrentTimeViaDateParameter; import com.examples.with.different.packagename.CurrentTimeViaGregorianCalendar; import com.examples.with.different.packagename.CurrentTimeViaGregorianCalendarParameter; import com.examples.with.different.packagename.TimeOperation; public class CurrentTimeSystemTest extends SystemTestBase { private boolean replaceCalls = Properties.REPLACE_CALLS; @Before public void storeValues() { replaceCalls = Properties.REPLACE_CALLS; } @After public void resetValues() { Properties.REPLACE_CALLS = replaceCalls; } @Test public void testCurrentTime1() { EvoSuite evosuite = new EvoSuite(); String targetClass = CurrentTime.class.getCanonicalName(); Properties.TARGET_CLASS = targetClass; Properties.REPLACE_CALLS = true; String[] command = new String[] { "-generateSuite", "-class", targetClass }; Object result = evosuite.parseCommandLine(command); GeneticAlgorithm<?> ga = getGAFromResult(result); TestSuiteChromosome best = (TestSuiteChromosome) ga.getBestIndividual(); int goals = TestGenerationStrategy.getFitnessFactories().get(0).getCoverageGoals().size(); // assuming single fitness function Assert.assertEquals("Wrong number of goals: ", 3, goals); Assert.assertEquals("Non-optimal coverage: ", 1d, best.getCoverage(), 0.001); } @Test public void testTimeOperation() { EvoSuite evosuite = new EvoSuite(); String targetClass = TimeOperation.class.getCanonicalName(); Properties.TARGET_CLASS = targetClass; Properties.REPLACE_CALLS = true; String[] command = new String[] { "-generateSuite", "-class", targetClass }; //, "-assertions" Object result = evosuite.parseCommandLine(command); GeneticAlgorithm<?> ga = getGAFromResult(result); TestSuiteChromosome best = (TestSuiteChromosome) ga.getBestIndividual(); int goals = TestGenerationStrategy.getFitnessFactories().get(0).getCoverageGoals().size(); // assuming single fitness function Assert.assertEquals("Wrong number of goals: ", 3, goals); Assert.assertEquals("Non-optimal coverage: ", 1d, best.getCoverage(), 0.001); } @Test public void testCurrentTimeViaCalendar() { EvoSuite evosuite = new EvoSuite(); String targetClass = CurrentTimeViaCalendar.class.getCanonicalName(); Properties.TARGET_CLASS = targetClass; Properties.REPLACE_CALLS = true; String[] command = new String[] { "-generateSuite", "-class", targetClass }; Object result = evosuite.parseCommandLine(command); GeneticAlgorithm<?> ga = getGAFromResult(result); TestSuiteChromosome best = (TestSuiteChromosome) ga.getBestIndividual(); int goals = TestGenerationStrategy.getFitnessFactories().get(0).getCoverageGoals().size(); // assuming single fitness function Assert.assertEquals("Wrong number of goals: ", 3, goals); Assert.assertEquals("Non-optimal coverage: ", 1d, best.getCoverage(), 0.001); } @Test public void testCurrentTimeViaCalendar1() { EvoSuite evosuite = new EvoSuite(); String targetClass = CurrentTimeViaCalendar1.class.getCanonicalName(); Properties.TARGET_CLASS = targetClass; Properties.REPLACE_CALLS = true; String[] command = new String[] { "-generateSuite", "-class", targetClass }; Object result = evosuite.parseCommandLine(command); GeneticAlgorithm<?> ga = getGAFromResult(result); TestSuiteChromosome best = (TestSuiteChromosome) ga.getBestIndividual(); int goals = TestGenerationStrategy.getFitnessFactories().get(0).getCoverageGoals().size(); // assuming single fitness function Assert.assertEquals("Wrong number of goals: ", 3, goals); Assert.assertEquals("Non-optimal coverage: ", 1d, best.getCoverage(), 0.001); } @Test public void testCurrentTimeViaCalendar2() { EvoSuite evosuite = new EvoSuite(); String targetClass = CurrentTimeViaCalendar2.class.getCanonicalName(); Properties.TARGET_CLASS = targetClass; Properties.REPLACE_CALLS = true; String[] command = new String[] { "-generateSuite", "-class", targetClass }; Object result = evosuite.parseCommandLine(command); GeneticAlgorithm<?> ga = getGAFromResult(result); TestSuiteChromosome best = (TestSuiteChromosome) ga.getBestIndividual(); int goals = TestGenerationStrategy.getFitnessFactories().get(0).getCoverageGoals().size(); // assuming single fitness function Assert.assertEquals("Wrong number of goals: ", 3, goals); Assert.assertEquals("Non-optimal coverage: ", 1d, best.getCoverage(), 0.001); } @Test public void testCurrentTimeViaCalendar3() { EvoSuite evosuite = new EvoSuite(); String targetClass = CurrentTimeViaCalendar3.class.getCanonicalName(); Properties.TARGET_CLASS = targetClass; Properties.REPLACE_CALLS = true; String[] command = new String[] { "-generateSuite", "-class", targetClass }; Object result = evosuite.parseCommandLine(command); GeneticAlgorithm<?> ga = getGAFromResult(result); TestSuiteChromosome best = (TestSuiteChromosome) ga.getBestIndividual(); int goals = TestGenerationStrategy.getFitnessFactories().get(0).getCoverageGoals().size(); // assuming single fitness function Assert.assertEquals("Wrong number of goals: ", 3, goals); Assert.assertEquals("Non-optimal coverage: ", 1d, best.getCoverage(), 0.001); } @Test public void testCurrentTimeViaCalendarParameter() { EvoSuite evosuite = new EvoSuite(); String targetClass = CurrentTimeViaCalendarParameter.class.getCanonicalName(); Properties.TARGET_CLASS = targetClass; Properties.REPLACE_CALLS = true; String[] command = new String[] { "-generateSuite", "-class", targetClass }; Object result = evosuite.parseCommandLine(command); GeneticAlgorithm<?> ga = getGAFromResult(result); TestSuiteChromosome best = (TestSuiteChromosome) ga.getBestIndividual(); java.lang.System.out.println("Test Suite: " + best.toString()); int goals = TestGenerationStrategy.getFitnessFactories().get(0).getCoverageGoals().size(); // assuming single fitness function Assert.assertEquals("Wrong number of goals: ", 3, goals); Assert.assertEquals("Non-optimal coverage: ", 1d, best.getCoverage(), 0.001); } @Test public void testCurrentTimeViaGregorianCalendar() { EvoSuite evosuite = new EvoSuite(); String targetClass = CurrentTimeViaGregorianCalendar.class.getCanonicalName(); Properties.TARGET_CLASS = targetClass; Properties.REPLACE_CALLS = true; String[] command = new String[] { "-generateSuite", "-class", targetClass }; Object result = evosuite.parseCommandLine(command); GeneticAlgorithm<?> ga = getGAFromResult(result); TestSuiteChromosome best = (TestSuiteChromosome) ga.getBestIndividual(); int goals = TestGenerationStrategy.getFitnessFactories().get(0).getCoverageGoals().size(); // assuming single fitness function Assert.assertEquals("Wrong number of goals: ", 3, goals); Assert.assertEquals("Non-optimal coverage: ", 1d, best.getCoverage(), 0.001); } @Test public void testCurrentTimeViaGregorianCalendarParameter() { EvoSuite evosuite = new EvoSuite(); String targetClass = CurrentTimeViaGregorianCalendarParameter.class.getCanonicalName(); Properties.TARGET_CLASS = targetClass; Properties.REPLACE_CALLS = true; String[] command = new String[] { "-generateSuite", "-class", targetClass }; Object result = evosuite.parseCommandLine(command); GeneticAlgorithm<?> ga = getGAFromResult(result); TestSuiteChromosome best = (TestSuiteChromosome) ga.getBestIndividual(); java.lang.System.out.println("Test Suite: " + best.toString()); int goals = TestGenerationStrategy.getFitnessFactories().get(0).getCoverageGoals().size(); // assuming single fitness function Assert.assertEquals("Wrong number of goals: ", 3, goals); Assert.assertEquals("Non-optimal coverage: ", 1d, best.getCoverage(), 0.001); } @Test public void testCurrentTimeViaDate() { EvoSuite evosuite = new EvoSuite(); String targetClass = CurrentTimeViaDate.class.getCanonicalName(); Properties.TARGET_CLASS = targetClass; Properties.REPLACE_CALLS = true; String[] command = new String[] { "-generateSuite", "-class", targetClass }; Object result = evosuite.parseCommandLine(command); GeneticAlgorithm<?> ga = getGAFromResult(result); TestSuiteChromosome best = (TestSuiteChromosome) ga.getBestIndividual(); int goals = TestGenerationStrategy.getFitnessFactories().get(0).getCoverageGoals().size(); // assuming single fitness function Assert.assertEquals("Wrong number of goals: ", 3, goals); Assert.assertEquals("Non-optimal coverage: ", 1d, best.getCoverage(), 0.001); } @Test public void testCurrentTimeViaDateParameter() { EvoSuite evosuite = new EvoSuite(); String targetClass = CurrentTimeViaDateParameter.class.getCanonicalName(); Properties.TARGET_CLASS = targetClass; Properties.REPLACE_CALLS = true; //Properties.USE_DEPRECATED = false; // TODO why does the test pass only if USE_DEPRECATED is false??? String[] command = new String[] { "-generateSuite", "-class", targetClass }; Object result = evosuite.parseCommandLine(command); GeneticAlgorithm<?> ga = getGAFromResult(result); TestSuiteChromosome best = (TestSuiteChromosome) ga.getBestIndividual(); java.lang.System.out.println("Test Suite: " + best.toString()); int goals = TestGenerationStrategy.getFitnessFactories().get(0).getCoverageGoals().size(); // assuming single fitness function Assert.assertEquals("Wrong number of goals: ", 3, goals); Assert.assertEquals("Non-optimal coverage: ", 1d, best.getCoverage(), 0.001); } }