/**
* 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;
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.Before;
import org.junit.Test;
import com.examples.with.different.packagename.ClassWithInnerClass;
import com.examples.with.different.packagename.ClassWithPrivateInnerClass;
import com.examples.with.different.packagename.ClassWithPrivateNonStaticInnerClass;
public class InnerClassGoalsSystemTest extends SystemTestBase {
private double oldPPool = Properties.PRIMITIVE_POOL;
@Before
public void resetStuff() {
Properties.PRIMITIVE_POOL = oldPPool;
}
@Test
public void testPublicStaticInnerClassWithBranch(){
EvoSuite evosuite = new EvoSuite();
String targetClass = ClassWithInnerClass.class.getCanonicalName();
Properties.TARGET_CLASS = targetClass;
Properties.CRITERION = new Properties.Criterion[]{
Properties.Criterion.BRANCH,
};
String[] command = new String[] { "-generateSuite", "-class", targetClass };
Object result = evosuite.parseCommandLine(command);
GeneticAlgorithm<?> ga = getGAFromResult(result);
TestSuiteChromosome best = (TestSuiteChromosome) ga.getBestIndividual();
System.out.println(best);
int goals = TestGenerationStrategy.getFitnessFactories().get(0).getCoverageGoals().size(); // assuming single fitness function
Assert.assertEquals(6, goals );
Assert.assertEquals("Non-optimal coverage: ", 1d, best.getCoverage(), 0.001);
}
@Test
public void testPublicStaticInnerClassWithLine(){
EvoSuite evosuite = new EvoSuite();
String targetClass = ClassWithInnerClass.class.getCanonicalName();
Properties.TARGET_CLASS = targetClass;
Properties.CRITERION = new Properties.Criterion[]{
Properties.Criterion.LINE,
};
String[] command = new String[] { "-generateSuite", "-class", targetClass };
Object result = evosuite.parseCommandLine(command);
GeneticAlgorithm<?> ga = getGAFromResult(result);
TestSuiteChromosome best = (TestSuiteChromosome) ga.getBestIndividual();
System.out.println(best);
int goals = TestGenerationStrategy.getFitnessFactories().get(0).getCoverageGoals().size(); // assuming single fitness function
// lines of 'ClassWithInnerClass': 22, 25, 26, 27, 29
// lines of 'ClassWithInnerClass$AnInnerClass': 31, 33, 34, 36
//
// The number of lines actually differs dependent on the JVM platform...
Assert.assertTrue ( 9 <= goals && goals <= 10);
Assert.assertEquals("Non-optimal coverage: ", 1d, best.getCoverage(), 0.001);
}
@Test
public void testPrivateStaticInnerClassWithBranch(){
EvoSuite evosuite = new EvoSuite();
String targetClass = ClassWithPrivateInnerClass.class.getCanonicalName();
Properties.TARGET_CLASS = targetClass;
Properties.CRITERION = new Properties.Criterion[]{
Properties.Criterion.BRANCH,
};
// Increase chances of using seeded values to make sure the test finishes in budget
Properties.PRIMITIVE_POOL = 1.0;
String[] command = new String[] { "-generateSuite", "-class", targetClass };
Object result = evosuite.parseCommandLine(command);
GeneticAlgorithm<?> ga = getGAFromResult(result);
TestSuiteChromosome best = (TestSuiteChromosome) ga.getBestIndividual();
System.out.println(best);
int goals = TestGenerationStrategy.getFitnessFactories().get(0).getCoverageGoals().size(); // assuming single fitness function
// If reflection is active, then the private constructor will be tested
if(Properties.P_REFLECTION_ON_PRIVATE > 0.0)
Assert.assertEquals(6, goals);
else
Assert.assertEquals(5, goals);
Assert.assertEquals("Non-optimal coverage: ", 1d, best.getCoverage(), 0.001);
}
@Test
public void testPrivateStaticInnerClassWithLine(){
EvoSuite evosuite = new EvoSuite();
String targetClass = ClassWithPrivateInnerClass.class.getCanonicalName();
Properties.TARGET_CLASS = targetClass;
Properties.CRITERION = new Properties.Criterion[]{
Properties.Criterion.LINE,
};
// Increase chances of using seeded values to make sure the test finishes in budget
Properties.PRIMITIVE_POOL = 1.0;
String[] command = new String[] { "-generateSuite", "-class", targetClass };
Object result = evosuite.parseCommandLine(command);
GeneticAlgorithm<?> ga = getGAFromResult(result);
TestSuiteChromosome best = (TestSuiteChromosome) ga.getBestIndividual();
System.out.println(best);
int goals = TestGenerationStrategy.getFitnessFactories().get(0).getCoverageGoals().size(); // assuming single fitness function
// lines of 'ClassWithPrivateInnerClass': 22, 24, 25, 26, 28
// lines of 'ClassWithPrivateInnerClass$AnInnerClass': 30, 32, 33, 35
//
// The number of lines actually differs dependent on the JVM platform...
Assert.assertTrue ( 9 <= goals && goals <= 10);
Assert.assertEquals("Non-optimal coverage: ", 1d, best.getCoverage(), 0.001);
}
@Test
public void testPrivateInnerClassWithBranch(){
EvoSuite evosuite = new EvoSuite();
String targetClass = ClassWithPrivateNonStaticInnerClass.class.getCanonicalName();
Properties.TARGET_CLASS = targetClass;
Properties.CRITERION = new Properties.Criterion[]{
Properties.Criterion.BRANCH,
};
// Increase chances of using seeded values to make sure the test finishes in budget
Properties.PRIMITIVE_POOL = 1.0;
String[] command = new String[] { "-generateSuite", "-class", targetClass };
Object result = evosuite.parseCommandLine(command);
GeneticAlgorithm<?> ga = getGAFromResult(result);
TestSuiteChromosome best = (TestSuiteChromosome) ga.getBestIndividual();
System.out.println(best);
int goals = TestGenerationStrategy.getFitnessFactories().get(0).getCoverageGoals().size(); // assuming single fitness function
// If reflection is active, then the private constructor will be tested
if(Properties.P_REFLECTION_ON_PRIVATE > 0.0)
Assert.assertEquals(6, goals);
else
Assert.assertEquals(5, goals);
Assert.assertEquals("Non-optimal coverage: ", 1d, best.getCoverage(), 0.001);
}
@Test
public void testPrivateInnerClassWithLine(){
EvoSuite evosuite = new EvoSuite();
String targetClass = ClassWithPrivateNonStaticInnerClass.class.getCanonicalName();
Properties.TARGET_CLASS = targetClass;
// Increase chances of using seeded values to make sure the test finishes in budget
Properties.PRIMITIVE_POOL = 1.0;
Properties.CRITERION = new Properties.Criterion[]{
Properties.Criterion.LINE,
};
String[] command = new String[] { "-generateSuite", "-class", targetClass };
Object result = evosuite.parseCommandLine(command);
GeneticAlgorithm<?> ga = getGAFromResult(result);
TestSuiteChromosome best = (TestSuiteChromosome) ga.getBestIndividual();
System.out.println(best);
int goals = TestGenerationStrategy.getFitnessFactories().get(0).getCoverageGoals().size(); // assuming single fitness function
// lines of 'ClassWithPrivateNonStaticInnerClass': 22, 25, 26, 27, 29
// lines of 'ClassWithPrivateNonStaticInnerClass$AnInnerClass': 31, 33, 34, 36
//
// The number of lines actually differs dependent on the JVM platform...
Assert.assertTrue ( 9 <= goals && goals <= 10);
Assert.assertEquals("Non-optimal coverage: ", 1d, best.getCoverage(), 0.001);
}
}