1 | // Copyright 2012 Georg-August-Universität Göttingen, Germany
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2 | //
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3 | // Licensed under the Apache License, Version 2.0 (the "License");
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4 | // you may not use this file except in compliance with the License.
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5 | // You may obtain a copy of the License at
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6 | //
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7 | // http://www.apache.org/licenses/LICENSE-2.0
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8 | //
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9 | // Unless required by applicable law or agreed to in writing, software
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10 | // distributed under the License is distributed on an "AS IS" BASIS,
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11 | // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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12 | // See the License for the specific language governing permissions and
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13 | // limitations under the License.
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14 |
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15 | package de.ugoe.cs.autoquest.usability.rules.metrics;
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16 |
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17 | import static de.ugoe.cs.autoquest.usability.testutil.FestConditionUtil.absent;
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18 | import static de.ugoe.cs.autoquest.usability.testutil.FestConditionUtil.highRecommendationSeverityLevel;
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19 | import static de.ugoe.cs.autoquest.usability.testutil.FestConditionUtil.infoRecommendationSeverityLevel;
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20 | import static de.ugoe.cs.autoquest.usability.testutil.FestConditionUtil.lowRecommendationSeverityLevel;
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21 | import static de.ugoe.cs.autoquest.usability.testutil.FestConditionUtil.mediumRecommendationSeverityLevel;
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22 | import static de.ugoe.cs.autoquest.usability.testutil.FestConditionUtil.present;
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23 | import static org.fest.assertions.api.Assertions.assertThat;
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24 |
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25 | import org.junit.Test;
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26 |
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27 | import com.google.common.base.Optional;
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28 |
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29 | import de.ugoe.cs.autoquest.tasktrees.treeifc.ITaskTree;
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30 | import de.ugoe.cs.autoquest.usability.result.UsabilityDefect;
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31 | import de.ugoe.cs.autoquest.usability.rules.metrics.NoLetterOrDigitRatioMetric;
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32 |
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33 | /**
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34 | * <p>
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35 | * TODO comment
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36 | * </p>
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37 | *
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38 | * @author Alexander Deicke
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39 | */
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40 | public class NoLetterOrDigitTextInputsEvaluatorTest extends AbstractUsabilityEvaluationTC {
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41 |
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42 | @Test
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43 | public void should_return_no_recommendation() {
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44 | // Given
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45 | String spec = "Sequence {" +
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46 | " TextInput () {}" +
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47 | "}";
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48 | ITaskTree taskTree = createTaskTree(spec);
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49 | // When
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50 | Optional<UsabilityDefect> recommendation = new NoLetterOrDigitRatioMetric(taskTree).calculate();
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51 | // Then
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52 | assertThat(recommendation).is(absent());
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53 | }
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54 |
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55 | @Test
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56 | public void should_return_recommendation_with_info_severity_level() {
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57 | // Given
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58 | String spec =
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59 | "Sequence {" +
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60 | " TextInput (1234567890123456789012345678901234567890123456789_01234567890" +
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61 | "12345678901234567890123456789012345) {}" +
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62 | "}";
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63 | ITaskTree taskTree = createTaskTree(spec);
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64 | // When
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65 | Optional<UsabilityDefect> recommendation = new NoLetterOrDigitRatioMetric(taskTree).calculate();
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66 | // Then
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67 | assertThat(recommendation).is(present()).has(infoRecommendationSeverityLevel());
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68 | }
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69 |
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70 | @Test
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71 | public void should_return_recommendation_with_low_severity_level() {
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72 | // Given
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73 | String spec =
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74 | "Sequence {" +
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75 | " TextInput (123456789012345678901234567890_123456789012345) {}" +
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76 | "}";
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77 | ITaskTree taskTree = createTaskTree(spec);
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78 | // When
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79 | Optional<UsabilityDefect> recommendation = new NoLetterOrDigitRatioMetric(taskTree).calculate();
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80 | // Then
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81 | assertThat(recommendation).is(present()).has(lowRecommendationSeverityLevel());
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82 | }
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83 |
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84 | @Test
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85 | public void should_return_recommendation_with_medium_severity_level() {
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86 | // Given
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87 | String spec = "Sequence {" +
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88 | " TextInput (12345_6789012345) {}" +
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89 | "}";
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90 | ITaskTree taskTree = createTaskTree(spec);
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91 | // When
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92 | Optional<UsabilityDefect> recommendation = new NoLetterOrDigitRatioMetric(taskTree).calculate();
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93 | // Then
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94 | assertThat(recommendation).is(present()).has(mediumRecommendationSeverityLevel());
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95 | }
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96 |
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97 | @Test
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98 | public void should_return_recommendation_with_high_severity_level() {
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99 | // Given
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100 | String spec = "Sequence {" +
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101 | " TextInput (_a_b_c_) {}" +
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102 | "}";
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103 | ITaskTree taskTree = createTaskTree(spec);
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104 | // When
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105 | Optional<UsabilityDefect> recommendation = new NoLetterOrDigitRatioMetric(taskTree).calculate();
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106 | // Then
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107 | assertThat(recommendation).is(present()).has(highRecommendationSeverityLevel());
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108 | }
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109 | }
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