use of org.evosuite.coverage.rho.RhoCoverageFactory in project evosuite by EvoSuite.
the class EntBugTestStrategy method generateTests.
@Override
public TestSuiteChromosome generateTests() {
// Set up search algorithm
LoggingUtils.getEvoLogger().info("* Setting up search algorithm for individual test generation (ASE'13)");
ExecutionTracer.enableTraceCalls();
// Set up genetic algorithm
PropertiesTestGAFactory factory = new PropertiesTestGAFactory();
GeneticAlgorithm<TestChromosome> ga = factory.getSearchAlgorithm();
if (Properties.SERIALIZE_GA || Properties.CLIENT_ON_THREAD) {
TestGenerationResultBuilder.getInstance().setGeneticAlgorithm(ga);
}
// What's the search target
RhoCoverageFactory rhoFactory = (RhoCoverageFactory) FitnessFunctions.getFitnessFactory(Properties.Criterion.RHO);
RhoCoverageTestFitness rhoTestFitnessFunction = new RhoCoverageTestFitness();
ga.addFitnessFunction(rhoTestFitnessFunction);
// Goals
List<TestFitnessFunction> goals = new ArrayList<TestFitnessFunction>(rhoFactory.getCoverageGoals());
LoggingUtils.getEvoLogger().info("* Total number of test goals: ");
LoggingUtils.getEvoLogger().info(" - Rho " + goals.size());
double previous_fitness = RhoCoverageFactory.getRho();
double best_fitness = 0.0;
int number_of_generations = (int) (Properties.SEARCH_BUDGET / 10);
// Properties.SEARCH_BUDGET = 10; // 10 seconds for each generation
TestSuiteChromosome bests = new TestSuiteChromosome();
while (number_of_generations > 0) {
LoggingUtils.getEvoLogger().info(" * iteration(" + number_of_generations + ")");
// 10 seconds for each generation
// FIXME: should be a parameter?
ga.setStoppingConditionLimit(10);
ga.resetStoppingConditions();
ga.clearPopulation();
// ga.setChromosomeFactory(getDefaultChromosomeFactory()); // not in the original version
ga.generateSolution();
number_of_generations--;
TestChromosome best = (TestChromosome) ga.getBestIndividual();
if (best.getLastExecutionResult() == null) {
// some timeout?
continue;
}
best_fitness = best.getFitness(rhoTestFitnessFunction);
if (// we've found a better test case
(best_fitness < previous_fitness) || // or this new test case is not so bad (i.e., < Properties.EPSON)
(best_fitness <= Properties.EPSON)) {
// GOOD
LoggingUtils.getEvoLogger().info(" * new best (previous fitness: " + previous_fitness + " | best_fitness: " + best_fitness + ")");
ExecutionResult exec = best.getLastExecutionResult();
ExecutionTrace trace = exec.getTrace();
Set<Integer> testCoverage = trace.getCoveredLines();
LoggingUtils.getEvoLogger().info(" * new test case added " + testCoverage.toString());
rhoTestFitnessFunction.incrementNumber_of_Ones(testCoverage.size());
rhoTestFitnessFunction.incrementNumber_of_Test_Cases();
rhoTestFitnessFunction.addTestCoverage(testCoverage);
bests.addTest(best);
// update global fitness
previous_fitness = best_fitness;
} else {
// BAD
LoggingUtils.getEvoLogger().info(" * new test case ignored (previous fitness: " + previous_fitness + " | best_fitness: " + best_fitness + ")");
}
}
LoggingUtils.getEvoLogger().info("* Search finished after, best individual has fitness " + best_fitness);
LoggingUtils.getEvoLogger().info("Resulting test suite: " + bests.size() + " tests, length " + bests.totalLengthOfTestCases());
return bests;
}
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