source: trunk/autoquest-core-usability/src/main/java/de/ugoe/cs/autoquest/usability/RequiredInefficientActionsRule.java @ 2162

Last change on this file since 2162 was 2162, checked in by pharms, 7 years ago
  • changes for first VR oriented usability evaluation
File size: 5.6 KB
Line 
1//   Copyright 2012 Georg-August-Universität Göttingen, Germany
2//
3//   Licensed under the Apache License, Version 2.0 (the "License");
4//   you may not use this file except in compliance with the License.
5//   You may obtain a copy of the License at
6//
7//       http://www.apache.org/licenses/LICENSE-2.0
8//
9//   Unless required by applicable law or agreed to in writing, software
10//   distributed under the License is distributed on an "AS IS" BASIS,
11//   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12//   See the License for the specific language governing permissions and
13//   limitations under the License.
14
15package de.ugoe.cs.autoquest.usability;
16
17import java.util.Collection;
18import java.util.HashMap;
19import java.util.LinkedList;
20import java.util.List;
21import java.util.Map;
22
23import org.apache.commons.math3.stat.descriptive.DescriptiveStatistics;
24
25import de.ugoe.cs.autoquest.tasktrees.treeifc.DefaultTaskInstanceTraversingVisitor;
26import de.ugoe.cs.autoquest.tasktrees.treeifc.DefaultTaskTraversingVisitor;
27import de.ugoe.cs.autoquest.tasktrees.treeifc.IEventTask;
28import de.ugoe.cs.autoquest.tasktrees.treeifc.IEventTaskInstance;
29import de.ugoe.cs.autoquest.tasktrees.treeifc.ISequence;
30import de.ugoe.cs.autoquest.tasktrees.treeifc.ITask;
31import de.ugoe.cs.autoquest.tasktrees.treeifc.ITaskInstance;
32import de.ugoe.cs.autoquest.tasktrees.treeifc.ITaskModel;
33
34/**
35 * TODO comment
36 *
37 * @version $Revision: $ $Date: 16.07.2012$
38 * @author 2012, last modified by $Author: pharms$
39 */
40public class RequiredInefficientActionsRule implements UsabilityEvaluationRule {
41
42    /*
43     * (non-Javadoc)
44     *
45     * @see de.ugoe.cs.usability.UsabilityEvaluationRule#evaluate(TaskTree)
46     */
47    @Override
48    public UsabilityEvaluationResult evaluate(ITaskModel taskModel) {
49        UsabilityEvaluationResult results = new UsabilityEvaluationResult(taskModel);
50
51        Map<ISequence, double[]> smellingTasks =
52            getInefficientActionStatistics(taskModel.getTasks());
53       
54        analyzeTasksWithInefficientActions(smellingTasks, results, taskModel);
55
56        return results;
57    }
58
59    /**
60     *
61     */
62    private void analyzeTasksWithInefficientActions(Map<ISequence, double[]>  smellingTasks,
63                                                    UsabilityEvaluationResult results,
64                                                    ITaskModel                taskModel)
65    {
66
67        for (Map.Entry<ISequence, double[]> entry : smellingTasks.entrySet()) {
68            DescriptiveStatistics stats = new DescriptiveStatistics(entry.getValue());
69           
70            int ratio = (int) (1000 * stats.getMean());
71
72            UsabilitySmellIntensity severity =
73                UsabilitySmellIntensity.getIntensity(ratio, entry.getKey(), taskModel);
74
75            if (severity != null) {
76                Map<String, Object> parameters = new HashMap<String, Object>();
77                parameters.put("task", entry.getKey());
78                parameters.put("ratio", (ratio / 10));
79
80                results.addSmell(entry.getKey(), severity,
81                                 UsabilitySmellDescription.INEFFICIENT_ACTIONS, parameters);
82            }
83        }
84    }
85
86    /**
87     *
88     */
89    private Map<ISequence, double[]> getInefficientActionStatistics(Collection<ITask> tasks) {
90        Map<ISequence, double[]> inefficientActionRatios = new HashMap<ISequence, double[]>();
91       
92        for (ITask task : tasks) {
93            if (task instanceof ISequence)  {
94                if (countEfficientActions((ISequence) task) > 1) {
95                    double[] ratios = getRatiosOfInefficientActionsInInstances((ISequence) task);
96                   
97                    for (int i = 0; i < ratios.length; i++) {
98                        if (ratios[i] > 0) {
99                            // there is at least on inefficient action
100                            inefficientActionRatios.put((ISequence) task, ratios);
101                            break;
102                        }
103                    }
104                }
105            }
106        }
107       
108        return inefficientActionRatios;
109    }
110
111    /**
112     *
113     */
114    private int countEfficientActions(ISequence task) {
115        final List<IEventTask> efficientActions = new LinkedList<>();
116       
117        task.accept(new DefaultTaskTraversingVisitor() {
118            @Override
119            public void visit(IEventTask eventTask) {
120                if (!ActionClassifier.isInefficient(eventTask)) {
121                    efficientActions.add(eventTask);
122                }
123            }
124        });
125       
126        return efficientActions.size();
127    }
128
129    /**
130     *
131     */
132    private double[] getRatiosOfInefficientActionsInInstances(ISequence sequence) {
133        Collection<ITaskInstance> instances = sequence.getInstances();
134       
135        double[] ratios = new double[instances.size()];
136        int index = 0;
137        for (ITaskInstance instance : instances) {
138            ratios[index++] = getRatioOfInefficientActionsInInstance(instance);
139        }
140       
141        return ratios;
142    }
143
144    /**
145     *
146     */
147    private double getRatioOfInefficientActionsInInstance(ITaskInstance instance) {
148        final int[] count = new int[2];
149        count[0] = 0;
150        count[1] = 0;
151       
152        instance.accept(new DefaultTaskInstanceTraversingVisitor() {
153            @Override
154            public void visit(IEventTaskInstance eventTaskInstance) {
155                if (ActionClassifier.isInefficient(eventTaskInstance.getEvent())) {
156                    count[0]++;
157                }
158               
159                count[1]++;
160            }
161           
162        });
163       
164        return (double) count[0] / count[1];
165    }
166
167}
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