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.ITaskModel;
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30 | import de.ugoe.cs.autoquest.usability.result.UsabilityProblemDescription;
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31 | import de.ugoe.cs.autoquest.usability.testutil.GenerateTaskModelUtil;
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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 TextInputEntryRepetitionsEvaluatorTest {
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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 = "UserSession {" +
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46 | " Sequence seq1 {" +
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47 | " TextInput t1 () {}" +
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48 | " }" +
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49 | "}";
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50 | ITaskModel taskTree = GenerateTaskModelUtil.getTaskModelFromSpec(spec);
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51 | // When
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52 | Optional<UsabilityProblemDescription> recommendation = new TextInputEntryRepetitionsMetric(taskTree).calculate();
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53 | // Then
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54 | assertThat(recommendation).is(absent());
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55 | }
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56 |
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57 | @Test
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58 | public void should_return_recommendation_with_info_severity_level() {
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59 | // Given
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60 | String spec = "UserSession {" +
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61 | " Sequence seq1 {" +
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62 | " TextInput t1 (a b c) {}" +
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63 | " Sequence seq2 {" +
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64 | " TextInput t2 (a) {}" +
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65 | " TextInput t3 (d) {}" +
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66 | " TextInput t4 (e) {}" +
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67 | " }" +
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68 | " }" +
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69 | "}";
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70 | ITaskModel taskTree = GenerateTaskModelUtil.getTaskModelFromSpec(spec);
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71 | // When
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72 | Optional<UsabilityProblemDescription> recommendation = new TextInputEntryRepetitionsMetric(taskTree).calculate();
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73 | // Then
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74 | assertThat(recommendation).is(present()).has(infoRecommendationSeverityLevel());
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75 | }
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76 |
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77 | @Test
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78 | public void should_return_recommendation_with_low_severity_level() {
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79 | // Given
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80 | String spec = "UserSession {" +
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81 | " Sequence seq1 {" +
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82 | " TextInput t1 (a b c) {}" +
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83 | " Sequence seq3 {" +
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84 | " TextInput t2 (a) {}" +
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85 | " TextInput t3 (b) {}" +
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86 | " TextInput t4 (c) {}" +
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87 | " }" +
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88 | " }" +
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89 | "}";
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90 | ITaskModel taskTree = GenerateTaskModelUtil.getTaskModelFromSpec(spec);
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91 | // When
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92 | Optional<UsabilityProblemDescription> recommendation = new TextInputEntryRepetitionsMetric(taskTree).calculate();
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93 | // Then
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94 | assertThat(recommendation).is(present()).has(lowRecommendationSeverityLevel());
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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_medium_severity_level() {
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99 | // Given
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100 | String spec = "UserSession {" +
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101 | " Sequence seq1 {" +
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102 | " TextInput t1 (a b c d e f g h i j k l m) {}" +
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103 | " Sequence seq2 {" +
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104 | " TextInput t2 (a) {}" +
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105 | " TextInput t3 (b) {}" +
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106 | " TextInput t4 (c) {}" +
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107 | " TextInput t5 (d) {}" +
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108 | " }" +
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109 | " Iteration iter1 {" +
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110 | " TextInput t6 (e) {}" +
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111 | " }" +
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112 | " TextInput t7 (a) {}" +
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113 | " Selection sel1 {" +
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114 | " TextInput t8 (b) {}" +
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115 | " }" +
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116 | " Selection sel1 {" +
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117 | " TextInput t8 (c) {}" +
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118 | " }" +
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119 | " Selection sel1 {" +
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120 | " TextInput t8 (d) {}" +
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121 | " }" +
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122 | " Selection sel1 {" +
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123 | " TextInput t8 (e) {}" +
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124 | " }" +
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125 | " Sequence seq3 {" +
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126 | " TextInput t9 (a) {}" +
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127 | " Sequence seq4 {" +
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128 | " TextInput t10 (b) {}" +
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129 | " TextInput t11 (c) {}" +
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130 | " TextInput t12 (d) {}" +
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131 | " TextInput t13 (e) {}" +
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132 | " }" +
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133 | " }" +
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134 | " TextInput t14 (a) {}" +
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135 | " }" +
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136 | "}";
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137 | ITaskModel taskTree = GenerateTaskModelUtil.getTaskModelFromSpec(spec);
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138 | // When
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139 | Optional<UsabilityProblemDescription> recommendation = new TextInputEntryRepetitionsMetric(taskTree).calculate();
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140 | // Then
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141 | assertThat(recommendation).is(present()).has(mediumRecommendationSeverityLevel());
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142 | }
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143 |
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144 | @Test
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145 | public void should_return_recommendation_with_high_severity_level() {
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146 | // Given
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147 | String spec = "UserSession {" +
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148 | " Sequence seq1 {" +
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149 | " TextInput t1 (a b c) {}" +
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150 | " Sequence seq2 {" +
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151 | " TextInput t2 (a) {}" +
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152 | " TextInput t3 (b) {}" +
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153 | " TextInput t4 (c) {}" +
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154 | " TextInput t5 (a) {}" +
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155 | " }" +
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156 | " Iteration iter1 {" +
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157 | " TextInput t6 (a) {}" +
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158 | " }" +
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159 | " TextInput t7 (a) {}" +
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160 | " Selection sel1 {" +
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161 | " TextInput t8 (b c) {}" +
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162 | " }" +
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163 | " Selection sel1 {" +
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164 | " TextInput t8 (a) {}" +
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165 | " }" +
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166 | " Selection sel1 {" +
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167 | " TextInput t8 (a c) {}" +
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168 | " }" +
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169 | " Selection sel1 {" +
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170 | " TextInput t8 (b a) {}" +
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171 | " }" +
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172 | " Sequence seq3 {" +
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173 | " TextInput t9 (b c) {}" +
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174 | " Sequence seq4 {" +
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175 | " TextInput t10 (d a c) {}" +
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176 | " TextInput t11 (b b b a) {}" +
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177 | " TextInput t12 (a a c c) {}" +
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178 | " TextInput t13 (b b a) {}" +
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179 | " }" +
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180 | " }" +
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181 | " TextInput t14 (a) {}" +
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182 | " }" +
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183 | "}";
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184 | ITaskModel taskTree = GenerateTaskModelUtil.getTaskModelFromSpec(spec);
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185 | // When
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186 | Optional<UsabilityProblemDescription> recommendation = new TextInputEntryRepetitionsMetric(taskTree).calculate();
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187 | // Then
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188 | assertThat(recommendation).is(present()).has(highRecommendationSeverityLevel());
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189 | }
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190 | }
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