use of org.evosuite.testcase.TestFitnessFunction in project evosuite by EvoSuite.
the class StatementCoverageSuiteFitness method getFitness.
/**
* {@inheritDoc}
*/
@Override
public double getFitness(AbstractTestSuiteChromosome<? extends ExecutableChromosome> suite) {
List<ExecutionResult> results = runTestSuite(suite);
double fitness = 0.0;
// first simple and naive idea:
// just take each goal, calculate the minimal fitness over all results in the suite
// once a goal is covered don't check for it again
// in the end sum up all those fitness and it's the resulting suite-fitness
// guess this is horribly inefficient but it's a start
List<? extends TestFitnessFunction> totalGoals = StatementCoverageFactory.retrieveCoverageGoals();
Set<TestFitnessFunction> coveredGoals = new HashSet<TestFitnessFunction>();
for (TestFitnessFunction goal : totalGoals) {
double goalFitness = Double.MAX_VALUE;
for (ExecutionResult result : results) {
TestChromosome tc = new TestChromosome();
tc.setTestCase(result.test);
double resultFitness = goal.getFitness(tc, result);
if (resultFitness < goalFitness)
goalFitness = resultFitness;
if (goalFitness == 0.0) {
// result.test.addCoveredGoal(goal);
coveredGoals.add(goal);
break;
}
}
fitness += goalFitness;
}
if (totalGoals.size() > 0)
suite.setCoverage(this, coveredGoals.size() / (double) totalGoals.size());
else
suite.setCoverage(this, 1.0);
suite.setNumOfCoveredGoals(this, coveredGoals.size());
updateIndividual(this, suite, fitness);
return fitness;
}
use of org.evosuite.testcase.TestFitnessFunction in project evosuite by EvoSuite.
the class DSEStrategy method generateTests.
@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<TestSuiteFitnessFunction> fitnessFunctions = getFitnessFunctions();
List<TestFitnessFunction> 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;
// recalculated now after the search, eg to
goals = getGoals(false);
// 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;
}
use of org.evosuite.testcase.TestFitnessFunction in project evosuite by EvoSuite.
the class DSEStrategy method getGoals.
private List<TestFitnessFunction> getGoals(boolean verbose) {
List<TestFitnessFactory<? extends TestFitnessFunction>> goalFactories = getFitnessFactories();
List<TestFitnessFunction> 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;
}
use of org.evosuite.testcase.TestFitnessFunction in project evosuite by EvoSuite.
the class RegressionSuiteStrategy method generateTests.
@Override
public TestSuiteChromosome generateTests() {
track(RuntimeVariable.Total_Goals, 0);
track(RuntimeVariable.Generated_Assertions, 0);
track(RuntimeVariable.Coverage_Old, 0);
track(RuntimeVariable.Coverage_New, 0);
track(RuntimeVariable.Exception_Difference, 0);
track(RuntimeVariable.State_Distance, 0);
track(RuntimeVariable.Testsuite_Diversity, 0);
// Disable test archive
Properties.TEST_ARCHIVE = false;
// Disable functional mocking stuff (due to incompatibilities)
Properties.P_FUNCTIONAL_MOCKING = 0;
Properties.FUNCTIONAL_MOCKING_INPUT_LIMIT = 0;
Properties.FUNCTIONAL_MOCKING_PERCENT = 0;
// Regression random strategy switch.
if (Properties.REGRESSION_FITNESS == RegressionMeasure.RANDOM) {
return generateRandomRegressionTests();
}
LoggingUtils.getEvoLogger().info("* Setting up search algorithm for REGRESSION suite generation");
PropertiesSuiteGAFactory algorithmFactory = new PropertiesSuiteGAFactory();
GeneticAlgorithm<?> algorithm = algorithmFactory.getSearchAlgorithm();
if (Properties.SERIALIZE_GA || Properties.CLIENT_ON_THREAD) {
TestGenerationResultBuilder.getInstance().setGeneticAlgorithm(algorithm);
}
long startTime = System.currentTimeMillis() / 1000;
Properties.CRITERION = new Criterion[] { Criterion.REGRESSION };
// What's the search target
List<TestSuiteFitnessFunction> fitnessFunctions = getFitnessFunctions();
// TODO: Argh, generics.
algorithm.addFitnessFunctions((List) fitnessFunctions);
if (ArrayUtil.contains(Properties.CRITERION, Criterion.DEFUSE) || ArrayUtil.contains(Properties.CRITERION, Criterion.ALLDEFS) || ArrayUtil.contains(Properties.CRITERION, Criterion.STATEMENT) || ArrayUtil.contains(Properties.CRITERION, Criterion.RHO) || ArrayUtil.contains(Properties.CRITERION, Criterion.AMBIGUITY)) {
ExecutionTracer.enableTraceCalls();
}
// TODO: why it was only if "analyzing"???
// if (analyzing)
algorithm.resetStoppingConditions();
List<TestFitnessFunction> goals = getGoals(true);
// List<TestSuiteChromosome> bestSuites = new
// ArrayList<TestSuiteChromosome>();
TestSuiteChromosome bestSuites = new TestSuiteChromosome();
RegressionTestSuiteChromosome best = null;
if (!Properties.STOP_ZERO || !goals.isEmpty()) {
// logger.warn("performing search ... ############################################################");
// Perform search
LoggingUtils.getEvoLogger().info("* Using seed {}", Randomness.getSeed());
LoggingUtils.getEvoLogger().info("* Starting evolution");
ClientServices.getInstance().getClientNode().changeState(ClientState.SEARCH);
algorithm.generateSolution();
best = (RegressionTestSuiteChromosome) algorithm.getBestIndividual();
// ArrayList<TestSuiteChromosome>();
for (TestCase t : best.getTests()) {
bestSuites.addTest(t);
}
// bestSuites = (List<TestSuiteChromosome>) ga.getBestIndividuals();
if (bestSuites.size() == 0) {
LoggingUtils.getEvoLogger().warn("Could not find any suiteable chromosome");
return bestSuites;
}
} else {
zeroFitness.setFinished();
bestSuites = new TestSuiteChromosome();
for (FitnessFunction<?> ff : bestSuites.getFitnessValues().keySet()) {
bestSuites.setCoverage(ff, 1.0);
}
}
long end_time = System.currentTimeMillis() / 1000;
// recalculated now after the search, eg to handle exception fitness
goals = getGoals(false);
track(RuntimeVariable.Total_Goals, goals.size());
// Newline after progress bar
if (Properties.SHOW_PROGRESS) {
LoggingUtils.getEvoLogger().info("");
}
String text = " statements, best individual has fitness: ";
if (bestSuites.size() > 1) {
text = " statements, best individuals have fitness: ";
}
LoggingUtils.getEvoLogger().info("* Search finished after " + (end_time - startTime) + "s and " + algorithm.getAge() + " generations, " + MaxStatementsStoppingCondition.getNumExecutedStatements() + text + ((best != null) ? best.getFitness() : ""));
if (Properties.COVERAGE) {
for (Properties.Criterion pc : Properties.CRITERION) {
// FIXME: can
CoverageCriteriaAnalyzer.analyzeCoverage(bestSuites, pc);
}
// we send
// all
// bestSuites?
}
// progressMonitor.updateStatus(99);
int number_of_test_cases = 0;
int totalLengthOfTestCases = 0;
double coverage = 0.0;
// for (TestSuiteChromosome tsc : bestSuites) {
number_of_test_cases += bestSuites.size();
totalLengthOfTestCases += bestSuites.totalLengthOfTestCases();
coverage += bestSuites.getCoverage();
if (ArrayUtil.contains(Properties.CRITERION, Criterion.MUTATION) || ArrayUtil.contains(Properties.CRITERION, Criterion.STRONGMUTATION)) {
// SearchStatistics.getInstance().mutationScore(coverage);
}
// StatisticsSender.executedAndThenSendIndividualToMaster(bestSuites);
// // FIXME: can we send all bestSuites?
// statistics.iteration(ga);
// statistics.minimized(bestSuites.get(0)); // FIXME: can we send all
// bestSuites?
LoggingUtils.getEvoLogger().info("* Generated " + number_of_test_cases + " tests with total length " + totalLengthOfTestCases);
// TODO: In the end we will only need one analysis technique
if (!Properties.ANALYSIS_CRITERIA.isEmpty()) {
// SearchStatistics.getInstance().addCoverage(Properties.CRITERION.toString(),
// coverage);
CoverageCriteriaAnalyzer.analyzeCriteria(bestSuites, Properties.ANALYSIS_CRITERIA);
// FIXME: can we send all bestSuites?
}
LoggingUtils.getEvoLogger().info("* Resulting test suite's coverage: " + NumberFormat.getPercentInstance().format(coverage));
algorithm.printBudget();
return bestSuites;
}
use of org.evosuite.testcase.TestFitnessFunction in project evosuite by EvoSuite.
the class MOSuiteStrategy method generateTests.
@Override
public TestSuiteChromosome generateTests() {
// Set up search algorithm
PropertiesSuiteGAFactory algorithmFactory = new PropertiesSuiteGAFactory();
GeneticAlgorithm<TestSuiteChromosome> algorithm = algorithmFactory.getSearchAlgorithm();
// Override chromosome factory
// TODO handle this better by introducing generics
ChromosomeFactory factory = new RandomLengthTestFactory();
algorithm.setChromosomeFactory(factory);
if (Properties.SERIALIZE_GA || Properties.CLIENT_ON_THREAD)
TestGenerationResultBuilder.getInstance().setGeneticAlgorithm(algorithm);
long startTime = System.currentTimeMillis() / 1000;
// What's the search target
List<TestFitnessFactory<? extends TestFitnessFunction>> goalFactories = getFitnessFactories();
List<TestFitnessFunction> fitnessFunctions = new ArrayList<TestFitnessFunction>();
for (TestFitnessFactory<? extends TestFitnessFunction> goalFactory : goalFactories) {
fitnessFunctions.addAll(goalFactory.getCoverageGoals());
}
algorithm.addFitnessFunctions((List) fitnessFunctions);
// if (Properties.SHOW_PROGRESS && !logger.isInfoEnabled())
// FIXME progressMonitor may cause
algorithm.addListener(progressMonitor);
if (Properties.ALGORITHM == Properties.Algorithm.LIPS)
LoggingUtils.getEvoLogger().info("* Total number of test goals for LIPS: {}", fitnessFunctions.size());
else if (Properties.ALGORITHM == Properties.Algorithm.MOSA)
LoggingUtils.getEvoLogger().info("* Total number of test goals for MOSA: {}", fitnessFunctions.size());
if (ArrayUtil.contains(Properties.CRITERION, Criterion.DEFUSE) || ArrayUtil.contains(Properties.CRITERION, Criterion.ALLDEFS) || ArrayUtil.contains(Properties.CRITERION, Criterion.STATEMENT) || ArrayUtil.contains(Properties.CRITERION, Criterion.RHO) || ArrayUtil.contains(Properties.CRITERION, Criterion.BRANCH) || ArrayUtil.contains(Properties.CRITERION, Criterion.AMBIGUITY))
ExecutionTracer.enableTraceCalls();
algorithm.resetStoppingConditions();
TestSuiteChromosome testSuite = null;
if (!(Properties.STOP_ZERO && fitnessFunctions.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);
algorithm.generateSolution();
List<TestSuiteChromosome> bestSuites = (List<TestSuiteChromosome>) algorithm.getBestIndividuals();
if (bestSuites.isEmpty()) {
LoggingUtils.getEvoLogger().warn("Could not find any suitable chromosome");
return new TestSuiteChromosome();
} else {
testSuite = bestSuites.get(0);
}
} else {
zeroFitness.setFinished();
testSuite = new TestSuiteChromosome();
for (FitnessFunction<?> ff : testSuite.getFitnessValues().keySet()) {
testSuite.setCoverage(ff, 1.0);
}
}
long endTime = System.currentTimeMillis() / 1000;
// Newline after progress bar
if (Properties.SHOW_PROGRESS)
LoggingUtils.getEvoLogger().info("");
String text = " statements, best individual has fitness: ";
LoggingUtils.getEvoLogger().info("* Search finished after " + (endTime - startTime) + "s and " + algorithm.getAge() + " generations, " + MaxStatementsStoppingCondition.getNumExecutedStatements() + text + testSuite.getFitness());
// Search is finished, send statistics
sendExecutionStatistics();
// We send the info about the total number of coverage goals/targets only after
// the end of the search. This is because the number of coverage targets may vary
// when the criterion Properties.Criterion.EXCEPTION is used (exception coverage
// goal are dynamically added when the generated tests trigger some exceptions
ClientServices.getInstance().getClientNode().trackOutputVariable(RuntimeVariable.Total_Goals, algorithm.getFitnessFunctions().size());
return testSuite;
}
Aggregations