/**
* 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.ClassUsingRandomParameter;
import com.examples.with.different.packagename.RandomBranch;
public class RandomCallSystemTest 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 testRandomCall() {
EvoSuite evosuite = new EvoSuite();
String targetClass = RandomBranch.class.getCanonicalName();
Properties.TARGET_CLASS = targetClass;
Properties.REPLACE_CALLS = true;
String[] command = new String[] { "-generateSuite", "-class", targetClass }; //, "-Dassertions=true"
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: ", 5, goals);
Assert.assertEquals("Non-optimal coverage: ", 1d, best.getCoverage(), 0.001);
}
@Test
public void testRandomParameter() {
EvoSuite evosuite = new EvoSuite();
String targetClass = ClassUsingRandomParameter.class.getCanonicalName();
Properties.TARGET_CLASS = targetClass;
Properties.REPLACE_CALLS = true;
String[] command = new String[] { "-generateSuite", "-class", targetClass }; //, "-Dassertions=true"
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);
}
}