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/**
* Copyright (C) 2010-2018 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 .
*/
package org.evosuite.symbolic;
import java.lang.reflect.Method;
import java.lang.reflect.Modifier;
import java.util.ArrayList;
import java.util.HashSet;
import java.util.LinkedList;
import java.util.List;
import java.util.Set;
import org.evosuite.Properties;
import org.evosuite.Properties.Criterion;
import org.evosuite.coverage.TestFitnessFactory;
import org.evosuite.ga.FitnessFunction;
import org.evosuite.ga.metaheuristics.GeneticAlgorithm;
import org.evosuite.ga.stoppingconditions.MaxStatementsStoppingCondition;
import org.evosuite.result.TestGenerationResultBuilder;
import org.evosuite.rmi.ClientServices;
import org.evosuite.rmi.service.ClientState;
import org.evosuite.statistics.RuntimeVariable;
import org.evosuite.strategy.PropertiesSuiteGAFactory;
import org.evosuite.strategy.TestGenerationStrategy;
import org.evosuite.testcase.TestChromosome;
import org.evosuite.testcase.TestFitnessFunction;
import org.evosuite.testcase.execution.ExecutionTracer;
import org.evosuite.testsuite.TestSuiteChromosome;
import org.evosuite.testsuite.TestSuiteFitnessFunction;
import org.evosuite.testsuite.similarity.DiversityObserver;
import org.evosuite.utils.ArrayUtil;
import org.evosuite.utils.LoggingUtils;
import org.evosuite.utils.Randomness;
public class DSEStrategy extends TestGenerationStrategy {
@Override
public TestSuiteChromosome generateTests() {
LoggingUtils.getEvoLogger().info("* Setting up DSE test suite generation");
long startTime = System.currentTimeMillis() / 1000;
Properties.CRITERION = new Criterion[] { Properties.Criterion.BRANCH };
// What's the search target
List fitnessFunctions = getFitnessFunctions();
List goals = getGoals(true);
if (!canGenerateTestsForSUT()) {
LoggingUtils.getEvoLogger()
.info("* Found no testable methods in the target class " + Properties.TARGET_CLASS);
ClientServices.getInstance().getClientNode().trackOutputVariable(RuntimeVariable.Total_Goals, goals.size());
return new TestSuiteChromosome();
}
/*
* Proceed with search if CRITERION=EXCEPTION, even if goals is empty
*/
TestSuiteChromosome testSuite = null;
if (!(Properties.STOP_ZERO && goals.isEmpty())
|| ArrayUtil.contains(Properties.CRITERION, Criterion.EXCEPTION)) {
// Perform search
LoggingUtils.getEvoLogger().info("* Using seed {}", Randomness.getSeed());
LoggingUtils.getEvoLogger().info("* Starting evolution");
ClientServices.getInstance().getClientNode().changeState(ClientState.SEARCH);
testSuite = generateSuite();
} else {
zeroFitness.setFinished();
testSuite = new TestSuiteChromosome();
for (FitnessFunction> ff : fitnessFunctions) {
testSuite.setCoverage(ff, 1.0);
}
}
long endTime = System.currentTimeMillis() / 1000;
goals = getGoals(false); // recalculated now after the search, eg to
// handle exception fitness
ClientServices.getInstance().getClientNode().trackOutputVariable(RuntimeVariable.Total_Goals, goals.size());
// Newline after progress bar
if (Properties.SHOW_PROGRESS)
LoggingUtils.getEvoLogger().info("");
if (!Properties.IS_RUNNING_A_SYSTEM_TEST) { // avoid printing time
// related info in system
// tests due to lack of
// determinism
LoggingUtils.getEvoLogger()
.info("* Search finished after " + (endTime - startTime) + "s and "
+ MaxStatementsStoppingCondition.getNumExecutedStatements()
+ " statements, best individual has fitness: " + testSuite.getFitness());
}
// Search is finished, send statistics
sendExecutionStatistics();
return testSuite;
}
private TestSuiteChromosome generateSuite() {
final Class> targetClass = Properties.getTargetClassAndDontInitialise();
final Set staticMethods = getStaticMethods(targetClass);
TestSuiteChromosome result = new TestSuiteChromosome();
for (Method staticMethod : staticMethods) {
List testCases = generateTests(staticMethod);
result.addTests(testCases);
}
return result;
}
private List generateTests(Method staticMethod) {
List testCases = new LinkedList();
// TODO DSE Algorithm goes here
return testCases;
}
private List getGoals(boolean verbose) {
List> goalFactories = getFitnessFactories();
List goals = new ArrayList<>();
if (goalFactories.size() == 1) {
TestFitnessFactory extends TestFitnessFunction> factory = goalFactories.iterator().next();
goals.addAll(factory.getCoverageGoals());
if (verbose) {
LoggingUtils.getEvoLogger().info("* Total number of test goals: {}", factory.getCoverageGoals().size());
if (Properties.PRINT_GOALS) {
for (TestFitnessFunction goal : factory.getCoverageGoals())
LoggingUtils.getEvoLogger().info("" + goal.toString());
}
}
} else {
if (verbose) {
LoggingUtils.getEvoLogger().info("* Total number of test goals: ");
}
for (TestFitnessFactory extends TestFitnessFunction> goalFactory : goalFactories) {
goals.addAll(goalFactory.getCoverageGoals());
if (verbose) {
LoggingUtils.getEvoLogger()
.info(" - " + goalFactory.getClass().getSimpleName().replace("CoverageFactory", "") + " "
+ goalFactory.getCoverageGoals().size());
if (Properties.PRINT_GOALS) {
for (TestFitnessFunction goal : goalFactory.getCoverageGoals())
LoggingUtils.getEvoLogger().info("" + goal.toString());
}
}
}
}
return goals;
}
private static Set getStaticMethods(Class> targetClass) {
Method[] declaredMethods = targetClass.getDeclaredMethods();
Set staticMethods = new HashSet();
for (Method m : declaredMethods) {
if (Modifier.isStatic(m.getModifiers())) {
staticMethods.add(m);
}
}
return staticMethods;
}
}
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