/**
* 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.instrumentation.error;
import com.examples.with.different.packagename.errorbranch.DoubleDivisionByZero;
import com.examples.with.different.packagename.errorbranch.IntDivisionByZero;
import com.examples.with.different.packagename.errorbranch.LongDivisionByZero;
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.Assert;
import org.junit.Test;
public class DivisionByZeroInstrumentationSystemTest extends SystemTestBase {
@Test
public void testIntDivisionWithErrorBranches() {
EvoSuite evosuite = new EvoSuite();
String targetClass = IntDivisionByZero.class.getCanonicalName();
Properties.TARGET_CLASS = targetClass;
Properties.ERROR_BRANCHES = true;
Properties.CRITERION = new Properties.Criterion[] {Properties.Criterion.BRANCH, Properties.Criterion.TRYCATCH};
String[] command = new String[] { "-generateSuite", "-class", targetClass };
Object result = evosuite.parseCommandLine(command);
GeneticAlgorithm<?> ga = getGAFromResult(result);
TestSuiteChromosome best = (TestSuiteChromosome) ga.getBestIndividual();
Assert.assertEquals(2, TestGenerationStrategy.getFitnessFactories().get(0).getCoverageGoals().size());
Assert.assertEquals(2, TestGenerationStrategy.getFitnessFactories().get(1).getCoverageGoals().size());
// 6: 2 regular branches, 2 for overflow, 2 for division by zero
// one of the overflow branches is infeasible
Assert.assertTrue("Non-optimal coverage: ", best.getCoverage() >= 3d/4d);
}
@Test
public void testDoubleDivisionWithErrorBranches() {
EvoSuite evosuite = new EvoSuite();
String targetClass = DoubleDivisionByZero.class.getCanonicalName();
Properties.TARGET_CLASS = targetClass;
Properties.ERROR_BRANCHES = true;
Properties.CRITERION = new Properties.Criterion[] {Properties.Criterion.BRANCH, Properties.Criterion.TRYCATCH};
String[] command = new String[] { "-generateSuite", "-class", targetClass };
Object result = evosuite.parseCommandLine(command);
GeneticAlgorithm<?> ga = getGAFromResult(result);
TestSuiteChromosome best = (TestSuiteChromosome) ga.getBestIndividual();
Assert.assertEquals(2, TestGenerationStrategy.getFitnessFactories().get(0).getCoverageGoals().size());
Assert.assertEquals(1, TestGenerationStrategy.getFitnessFactories().get(1).getCoverageGoals().size());
Assert.assertEquals("Non-optimal coverage: ", 1d, best.getCoverage(), 0.001);
}
@Test
public void testLongDivisionWithErrorBranches() {
EvoSuite evosuite = new EvoSuite();
String targetClass = LongDivisionByZero.class.getCanonicalName();
Properties.TARGET_CLASS = targetClass;
Properties.ERROR_BRANCHES = true;
Properties.CRITERION = new Properties.Criterion[] {Properties.Criterion.BRANCH, Properties.Criterion.TRYCATCH};
String[] command = new String[] { "-generateSuite", "-class", targetClass };
Object result = evosuite.parseCommandLine(command);
GeneticAlgorithm<?> ga = getGAFromResult(result);
TestSuiteChromosome best = (TestSuiteChromosome) ga.getBestIndividual();
Assert.assertEquals(2, TestGenerationStrategy.getFitnessFactories().get(0).getCoverageGoals().size());
Assert.assertEquals(2, TestGenerationStrategy.getFitnessFactories().get(1).getCoverageGoals().size());
Assert.assertEquals("Non-optimal coverage: ", 1d, best.getCoverage(), 0.001);
}
}