package de.ugoe.cs.autoquest.usability.evaluation.rule.evaluator; import static de.ugoe.cs.autoquest.usability.evaluation.rule.set.RulesetFactory.textInputUsabiliyRuleset; import static de.ugoe.cs.autoquest.usability.testutil.FestConditionUtil.absent; import static de.ugoe.cs.autoquest.usability.testutil.FestConditionUtil.highRecommendationSeverityLevel; import static de.ugoe.cs.autoquest.usability.testutil.FestConditionUtil.infoRecommendationSeverityLevel; import static de.ugoe.cs.autoquest.usability.testutil.FestConditionUtil.lowRecommendationSeverityLevel; import static de.ugoe.cs.autoquest.usability.testutil.FestConditionUtil.mediumRecommendationSeverityLevel; import static de.ugoe.cs.autoquest.usability.testutil.FestConditionUtil.present; import static org.fest.assertions.api.Assertions.assertThat; import java.util.EnumSet; import org.junit.After; import org.junit.Before; import org.junit.Test; import com.google.common.base.Optional; import com.google.common.base.Predicate; import com.google.common.collect.Iterables; import de.ugoe.cs.autoquest.tasktrees.treeifc.ITaskTree; import de.ugoe.cs.autoquest.usability.evaluation.result.UsabilityDefect; import de.ugoe.cs.autoquest.usability.evaluation.rule.set.UsabilityRule; import de.ugoe.cs.autoquest.usability.tasktree.filter.FilterStatisticCache; public class TextInputRatioEvaluatorTest extends AbstractUsabilityEvaluationTC { private UsabilityRule ruleUnderTest; @Before public void initRuleUnderTest() { EnumSet ruleset = textInputUsabiliyRuleset().evaluationRules(); this.ruleUnderTest = Iterables.find(ruleset, new Predicate() { public boolean apply(UsabilityRule usabilityRule) { return usabilityRule.ruleIdentifier().equals("TEXT_FIELD_INPUT_RATIO"); } }); } @After public void clearFilterStatisticCache() { FilterStatisticCache.instance().clear(); } @Test public void should_return_no_recommendation() { // Given String spec = "Sequence {" + " Interaction {}" + " TextInput (a) {}" + " Interaction {}" + " Interaction {}" + " TextInput (c) {}" + " Interaction {}" + " Interaction {}" + " Interaction {}" + "}"; ITaskTree taskTree = createTaskTree(spec); // When Optional recommendation = new TextInputRatioEvaluator(this.ruleUnderTest, taskTree).evaluationResult(); // Then assertThat(recommendation).is(absent()); } @Test public void should_return_recommendation_with_info_severity_level() { // Given String spec = "Sequence {" + " Interaction {}" + " TextInput (a) {}" + " Interaction {}" + " Interaction {}" + " TextInput (c) {}" + "}"; ITaskTree taskTree = createTaskTree(spec); // When Optional recommendation = new TextInputRatioEvaluator(this.ruleUnderTest, taskTree).evaluationResult(); // Then assertThat(recommendation).is(present()).has(infoRecommendationSeverityLevel()); } @Test public void should_return_recommendation_with_low_severity_level() { // Given String spec = "Sequence {" + " Interaction {}" + " TextInput (a) {}" + " TextInput (b) {}" + " Interaction {}" + " TextInput (c) {}" + "}"; ITaskTree taskTree = createTaskTree(spec); // When Optional recommendation = new TextInputRatioEvaluator(this.ruleUnderTest, taskTree).evaluationResult(); // Then assertThat(recommendation).is(present()).has(lowRecommendationSeverityLevel()); } @Test public void should_return_recommendation_with_medium_severity_level() { // Given String spec = "Sequence {" + " TextInput (a) {}" + " TextInput (b) {}" + " Interaction {}" + " TextInput (c) {}" + "}"; ITaskTree taskTree = createTaskTree(spec); // When Optional recommendation = new TextInputRatioEvaluator(this.ruleUnderTest, taskTree).evaluationResult(); // Then assertThat(recommendation).is(present()).has(mediumRecommendationSeverityLevel()); } @Test public void should_return_recommendation_with_high_severity_level() { // Given String spec = "TextInput (bla) {}"; ITaskTree taskTree = createTaskTree(spec); // When Optional recommendation = new TextInputRatioEvaluator(this.ruleUnderTest, taskTree).evaluationResult(); // Then assertThat(recommendation).is(present()).has(highRecommendationSeverityLevel()); } }