Examples with ExecutionResult org.evosuite.testcase.execution.ExecutionResult used on opensource projects

Example 16 with ExecutionResult

use of org.evosuite.testcase.execution.ExecutionResult in project evosuite by EvoSuite.

the class WeakMutationSuiteFitness method getFitness.

/* (non-Javadoc)
	 * @see org.evosuite.ga.FitnessFunction#getFitness(org.evosuite.ga.Chromosome)
	 */
/**
 * {@inheritDoc}
 */
@Override
public double getFitness(AbstractTestSuiteChromosome<? extends ExecutableChromosome> individual) {
    /**
     * e.g. classes with only static constructors
     */
    if (this.numMutants == 0) {
        updateIndividual(this, individual, 0.0);
        ((TestSuiteChromosome) individual).setCoverage(this, 1.0);
        ((TestSuiteChromosome) individual).setNumOfCoveredGoals(this, 0);
        return 0.0;
    }
    List<ExecutionResult> results = runTestSuite(individual);
    // First objective: achieve branch coverage
    logger.debug("Calculating branch fitness: ");
    /*
		 * Note: results are cached, so the test suite is not executed again when we
		 * calculated the branch fitness
		 */
    double fitness = branchFitness.getFitness(individual);
    Map<Integer, Double> mutant_distance = new LinkedHashMap<Integer, Double>();
    Set<Integer> touchedMutants = new LinkedHashSet<Integer>();
    for (ExecutionResult result : results) {
        // use reflection for basic criteria, not for mutation
        if (result.hasTimeout() || result.hasTestException() || result.calledReflection()) {
            continue;
        }
        touchedMutants.addAll(result.getTrace().getTouchedMutants());
        Map<Integer, Double> touchedMutantsDistances = result.getTrace().getMutationDistances();
        if (touchedMutantsDistances.isEmpty()) {
            // if 'result' does not touch any mutant, no need to continue
            continue;
        }
        TestChromosome test = new TestChromosome();
        test.setTestCase(result.test);
        test.setLastExecutionResult(result);
        test.setChanged(false);
        Iterator<Entry<Integer, MutationTestFitness>> it = this.mutantMap.entrySet().iterator();
        while (it.hasNext()) {
            Entry<Integer, MutationTestFitness> entry = it.next();
            int mutantID = entry.getKey();
            TestFitnessFunction goal = entry.getValue();
            double fit = 0.0;
            if (touchedMutantsDistances.containsKey(mutantID)) {
                fit = touchedMutantsDistances.get(mutantID);
                if (!mutant_distance.containsKey(mutantID)) {
                    mutant_distance.put(mutantID, fit);
                } else {
                    mutant_distance.put(mutantID, Math.min(mutant_distance.get(mutantID), fit));
                }
            } else {
                // archive is updated by the TestFitnessFunction class
                fit = goal.getFitness(test, result);
            }
            if (fit == 0.0) {
                // update list of covered goals
                test.getTestCase().addCoveredGoal(goal);
                // goal to not be considered by the next iteration of the evolutionary algorithm
                this.toRemoveMutants.add(mutantID);
            }
            if (Properties.TEST_ARCHIVE) {
                Archive.getArchiveInstance().updateArchive(goal, test, fit);
            }
        }
    }
    // Second objective: touch all mutants?
    fitness += MutationPool.getMutantCounter() - touchedMutants.size();
    int covered = removedMutants.size();
    for (Double distance : mutant_distance.values()) {
        if (distance < 0) {
            logger.warn("Distance is " + distance + " / " + Integer.MAX_VALUE + " / " + Integer.MIN_VALUE);
            // FIXXME
            distance = 0.0;
        }
        fitness += normalize(distance);
        if (distance == 0.0) {
            covered++;
        }
    }
    updateIndividual(this, individual, fitness);
    ((TestSuiteChromosome) individual).setCoverage(this, (double) covered / (double) this.numMutants);
    ((TestSuiteChromosome) individual).setNumOfCoveredGoals(this, covered);
    return fitness;
}

Example 17 with ExecutionResult

use of org.evosuite.testcase.execution.ExecutionResult 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;
}

Example 18 with ExecutionResult

use of org.evosuite.testcase.execution.ExecutionResult in project evosuite by EvoSuite.

the class StrongMutationSuiteFitness method getFitness.

/* (non-Javadoc)
	 * @see org.evosuite.ga.FitnessFunction#getFitness(org.evosuite.ga.Chromosome)
	 */
/**
 * {@inheritDoc}
 */
@Override
public double getFitness(AbstractTestSuiteChromosome<? extends ExecutableChromosome> individual) {
    runTestSuite(individual);
    // Set<MutationTestFitness> uncoveredMutants = MutationTestPool.getUncoveredFitnessFunctions();
    TestSuiteChromosome suite = (TestSuiteChromosome) individual;
    for (TestChromosome test : suite.getTestChromosomes()) {
        ExecutionResult result = test.getLastExecutionResult();
        if (result.hasTimeout() || result.hasTestException()) {
            logger.debug("Skipping test with timeout");
            double fitness = branchFitness.totalGoals * 2 + branchFitness.totalMethods + 3 * this.numMutants;
            updateIndividual(this, individual, fitness);
            suite.setCoverage(this, 0.0);
            logger.info("Test case has timed out, setting fitness to max value " + fitness);
            return fitness;
        }
    }
    // First objective: achieve branch coverage
    logger.debug("Calculating branch fitness: ");
    double fitness = branchFitness.getFitness(individual);
    Set<Integer> touchedMutants = new LinkedHashSet<Integer>();
    Map<Mutation, Double> minMutantFitness = new LinkedHashMap<Mutation, Double>();
    // 0..1 -> propagation distance
    for (Integer mutantId : this.mutantMap.keySet()) {
        MutationTestFitness mutantFitness = mutantMap.get(mutantId);
        minMutantFitness.put(mutantFitness.getMutation(), 3.0);
    }
    int mutantsChecked = 0;
    int numKilled = removedMutants.size();
    Set<Integer> newKilled = new LinkedHashSet<Integer>();
    // Quicker tests first
    List<TestChromosome> executionOrder = prioritizeTests(suite);
    for (TestChromosome test : executionOrder) {
        ExecutionResult result = test.getLastExecutionResult();
        // use reflection for basic criteria, not for mutation
        if (result.calledReflection())
            continue;
        ExecutionTrace trace = result.getTrace();
        touchedMutants.addAll(trace.getTouchedMutants());
        logger.debug("Tests touched " + touchedMutants.size() + " mutants");
        Map<Integer, Double> touchedMutantsDistances = trace.getMutationDistances();
        if (touchedMutantsDistances.isEmpty()) {
            // if 'result' does not touch any mutant, no need to continue
            continue;
        }
        Iterator<Entry<Integer, MutationTestFitness>> it = this.mutantMap.entrySet().iterator();
        while (it.hasNext()) {
            Entry<Integer, MutationTestFitness> entry = it.next();
            int mutantID = entry.getKey();
            if (newKilled.contains(mutantID)) {
                continue;
            }
            MutationTestFitness goal = entry.getValue();
            if (MutationTimeoutStoppingCondition.isDisabled(goal.getMutation())) {
                logger.debug("Skipping timed out mutation " + goal.getMutation().getId());
                continue;
            }
            mutantsChecked++;
            double mutantInfectionDistance = 3.0;
            boolean hasBeenTouched = touchedMutantsDistances.containsKey(mutantID);
            if (hasBeenTouched) {
                // Infection happened, so we need to check propagation
                if (touchedMutantsDistances.get(mutantID) == 0.0) {
                    logger.debug("Executing test against mutant " + goal.getMutation());
                    // archive is updated by the TestFitnessFunction class
                    mutantInfectionDistance = goal.getFitness(test, result);
                } else {
                    // We can skip calling the test fitness function since we already know
                    // fitness is 1.0 (for propagation) + infection distance
                    mutantInfectionDistance = 1.0 + normalize(touchedMutantsDistances.get(mutantID));
                }
            } else {
                // archive is updated by the TestFitnessFunction class
                mutantInfectionDistance = goal.getFitness(test, result);
            }
            if (mutantInfectionDistance == 0.0) {
                numKilled++;
                newKilled.add(mutantID);
                // update list of covered goals
                result.test.addCoveredGoal(goal);
                // goal to not be considered by the next iteration of the evolutionary algorithm
                this.toRemoveMutants.add(mutantID);
            } else {
                minMutantFitness.put(goal.getMutation(), Math.min(mutantInfectionDistance, minMutantFitness.get(goal.getMutation())));
            }
        }
    }
    // logger.info("Fitness values for " + minMutantFitness.size() + " mutants");
    for (Double fit : minMutantFitness.values()) {
        fitness += fit;
    }
    logger.debug("Mutants killed: {}, Checked: {}, Goals: {})", numKilled, mutantsChecked, this.numMutants);
    updateIndividual(this, individual, fitness);
    assert numKilled == newKilled.size() + removedMutants.size();
    assert numKilled <= this.numMutants;
    double coverage = (double) numKilled / (double) this.numMutants;
    assert coverage >= 0.0 && coverage <= 1.0;
    suite.setCoverage(this, coverage);
    suite.setNumOfCoveredGoals(this, numKilled);
    return fitness;
}

Example 19 with ExecutionResult

use of org.evosuite.testcase.execution.ExecutionResult in project evosuite by EvoSuite.

the class FixedNumRandomTestStrategy method generateTests.

@Override
public TestSuiteChromosome generateTests() {
    LoggingUtils.getEvoLogger().info("* Generating fixed number of random tests");
    RandomLengthTestFactory factory = new org.evosuite.testcase.factories.RandomLengthTestFactory();
    TestSuiteChromosome suite = new TestSuiteChromosome();
    if (!canGenerateTestsForSUT()) {
        LoggingUtils.getEvoLogger().info("* Found no testable methods in the target class " + Properties.TARGET_CLASS);
        ClientServices.getInstance().getClientNode().trackOutputVariable(RuntimeVariable.Total_Goals, 0);
        return suite;
    }
    for (int i = 0; i < Properties.NUM_RANDOM_TESTS; i++) {
        logger.info("Current test: " + i + "/" + Properties.NUM_RANDOM_TESTS);
        TestChromosome test = factory.getChromosome();
        ExecutionResult result = TestCaseExecutor.runTest(test.getTestCase());
        Integer pos = result.getFirstPositionOfThrownException();
        if (pos != null) {
            if (result.getExceptionThrownAtPosition(pos) instanceof CodeUnderTestException || result.getExceptionThrownAtPosition(pos) instanceof UncompilableCodeException || result.getExceptionThrownAtPosition(pos) instanceof TestCaseExecutor.TimeoutExceeded) {
                // Filter invalid tests
                continue;
            } else {
                // Remove anything that follows an exception
                test.getTestCase().chop(pos + 1);
            }
            test.setChanged(true);
        } else {
            test.setLastExecutionResult(result);
        }
        suite.addTest(test);
    }
    // Search is finished, send statistics
    sendExecutionStatistics();
    return suite;
}

Example 20 with ExecutionResult

use of org.evosuite.testcase.execution.ExecutionResult in project evosuite by EvoSuite.

the class IndividualTestStrategy method getAdditionallyCoveredGoals.

private Set<Integer> getAdditionallyCoveredGoals(List<? extends TestFitnessFunction> goals, Set<Integer> covered, TestChromosome best) {
    Set<Integer> r = new HashSet<Integer>();
    ExecutionResult result = best.getLastExecutionResult();
    assert (result != null);
    // if (result == null) {
    // result = TestCaseExecutor.getInstance().execute(best.test);
    // }
    int num = -1;
    for (TestFitnessFunction goal : goals) {
        num++;
        if (covered.contains(num))
            continue;
        if (goal.isCovered(best, result)) {
            r.add(num);
            if (Properties.PRINT_COVERED_GOALS)
                LoggingUtils.getEvoLogger().info("* Additionally covered: " + goal.toString());
        }
    }
    return r;
}