def test_fitness_normalized(trace_mock, known_data_mock):
known_data_mock.existing_predicates[0] = MagicMock(PredicateMetaData)
trace_mock.executed_predicates[0] = 2
trace_mock.false_distances[0] = 0
trace_mock.true_distances[0] = 7.0
assert compute_branch_distance_fitness(trace_mock,
known_data_mock) == 0.875
def compute_fitness_values(
self, individual: tcc.TestCaseChromosome) -> ff.FitnessValues:
result = self._run_test_case_chromosome(individual)
merged_trace = analyze_results([result])
tracer: ExecutionTracer = self._executor.tracer
return ff.FitnessValues(
compute_branch_distance_fitness(merged_trace,
tracer.get_known_data()),
compute_branch_coverage(merged_trace, tracer.get_known_data()),
)
def test_fitness_covered_twice(trace_mock, known_data_mock):
known_data_mock.existing_predicates[0] = MagicMock(PredicateMetaData)
trace_mock.executed_predicates[0] = 2
trace_mock.false_distances[0] = 1
trace_mock.true_distances[0] = 0
assert compute_branch_distance_fitness(trace_mock, known_data_mock) == 0.5
def test_fitness_neither_covered(trace_mock, known_data_mock):
known_data_mock.existing_predicates[0] = MagicMock(PredicateMetaData)
assert compute_branch_distance_fitness(trace_mock, known_data_mock) == 2.0
def test_fitness_function_diff(trace_mock, known_data_mock):
known_data_mock.existing_code_objects[0] = MagicMock(CodeObjectMetaData)
known_data_mock.existing_code_objects[1] = MagicMock(CodeObjectMetaData)
known_data_mock.existing_code_objects[2] = MagicMock(CodeObjectMetaData)
trace_mock.executed_code_objects.add(0)
assert compute_branch_distance_fitness(trace_mock, known_data_mock) == 2.0
def test_default_fitness(trace_mock, known_data_mock):
assert compute_branch_distance_fitness(trace_mock, known_data_mock) == 0
