[2166] | 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.commands.usability;
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| 16 |
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| 17 | import java.util.ArrayList;
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| 18 | import java.util.Collections;
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| 19 | import java.util.HashMap;
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| 20 | import java.util.HashSet;
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| 21 | import java.util.LinkedList;
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| 22 | import java.util.List;
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| 23 | import java.util.ListIterator;
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| 24 | import java.util.Map;
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| 25 | import java.util.Set;
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| 26 | import java.util.TreeMap;
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| 27 | import java.util.TreeSet;
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| 28 |
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| 29 | import com.google.common.collect.Sets;
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| 30 |
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| 31 | import de.ugoe.cs.autoquest.CommandHelpers;
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| 32 | import de.ugoe.cs.autoquest.tasktrees.treeifc.ISequence;
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| 33 | import de.ugoe.cs.autoquest.tasktrees.treeifc.TaskTreeUtils;
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| 34 | import de.ugoe.cs.autoquest.usability.UsabilityEvaluationResult;
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| 35 | import de.ugoe.cs.autoquest.usability.UsabilitySmell;
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| 36 | import de.ugoe.cs.autoquest.usability.UsabilitySmell.ManualLabel;
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| 37 | import de.ugoe.cs.util.console.Command;
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| 38 | import de.ugoe.cs.util.console.GlobalDataContainer;
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| 39 |
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| 40 | /**
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| 41 | * <p>
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| 42 | * TODO comment
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| 43 | * </p>
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| 44 | *
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| 45 | * @author Patrick Harms
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| 46 | * @version 1.0
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| 47 | */
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| 48 | public class CMDusabilityStatistics implements Command {
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| 49 |
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| 50 | private static int COUNT = 0;
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| 51 | private static int DUPLICATES = 1;
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| 52 | private static int INTENSITY_LVL = 2;
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| 53 | private static int TRUE_POSITIVE = 3;
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| 54 | private static int TRUE_POSITIVE_DUPLICATES = 4;
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| 55 | private static int TRUE_POSITIVE_INTENSITY_LVL = 5;
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| 56 | private static int UNASSESSED = 6;
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| 57 | private static int MP_COUNT = 7;
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| 58 | private static int MP_DUPLICATES = 8;
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| 59 | private static int MP_INTENSITY_LVL = 9;
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| 60 | private static int MP_TRUE_POSITIVE = 10;
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| 61 | private static int MP_TRUE_POSITIVE_DUPLICATES = 11;
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| 62 | private static int MP_TRUE_POSITIVE_INTENSITY_LVL = 12;
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| 63 | private static int MP_UNASSESSED = 13;
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| 64 |
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| 65 | /*
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| 66 | * (non-Javadoc)
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| 67 | *
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| 68 | * @see de.ugoe.cs.util.console.Command#run(java.util.List)
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| 69 | */
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| 70 | @Override
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| 71 | public void run(List<Object> parameters) {
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| 72 | List<String> usabilityResultNames = new ArrayList<>(parameters.size());
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| 73 | try {
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| 74 | for (Object parameter : parameters) {
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| 75 | usabilityResultNames.add((String) parameter);
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| 76 | }
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| 77 | }
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| 78 | catch (Exception e) {
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| 79 | throw new IllegalArgumentException();
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| 80 | }
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| 81 |
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| 82 | List<UsabilityEvaluationResult> usabilityResults = new ArrayList<>(usabilityResultNames.size());
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| 83 |
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| 84 | for (String usabilityResultName : usabilityResultNames) {
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| 85 | Object dataObject = GlobalDataContainer.getInstance().getData(usabilityResultName);
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| 86 | if (dataObject == null) {
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| 87 | CommandHelpers.objectNotFoundMessage(usabilityResultName);
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| 88 | return;
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| 89 | }
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| 90 | if (!(dataObject instanceof UsabilityEvaluationResult)) {
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| 91 | CommandHelpers.objectNotType(usabilityResultName, "UsabilityEvaluationResult");
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| 92 | return;
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| 93 | }
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| 94 |
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| 95 | usabilityResults.add((UsabilityEvaluationResult) dataObject);
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| 96 | }
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| 97 |
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| 98 | // analyse all smells
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| 99 | Map<String, List<UsabilitySmell>> allSmells = new TreeMap<>();
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| 100 | Map<String, Set<ISequence>> mostProminentSequences = new TreeMap<>();
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| 101 | Set<String> smellTypes = new TreeSet<>();
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| 102 |
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| 103 | for (int i = 0; i < usabilityResults.size(); i++) {
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| 104 | String usabilityResultName = usabilityResultNames.get(i);
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| 105 | allSmells.put(usabilityResultName, usabilityResults.get(i).getAllSmells());
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| 106 |
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| 107 | for (UsabilitySmell smell : usabilityResults.get(i).getAllSmells()) {
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| 108 | smellTypes.add(smell.getBriefDescription());
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| 109 | }
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| 110 |
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| 111 | if (!mostProminentSequences.containsKey(usabilityResultName)) {
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| 112 | mostProminentSequences.put(usabilityResultName,
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| 113 | TaskTreeUtils.getMostProminentTasks
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| 114 | (usabilityResults.get(i).getTaskModel()));
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| 115 | }
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| 116 | }
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| 117 |
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| 118 | analyseAndDump("all smells", allSmells, mostProminentSequences);
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| 119 |
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| 120 | for (String smellType : smellTypes) {
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| 121 | Map<String, List<UsabilitySmell>> relevantSmells = new TreeMap<>();
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| 122 | for (int i = 0; i < usabilityResults.size(); i++) {
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| 123 | List<UsabilitySmell> smellList = new LinkedList<>();
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| 124 |
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| 125 | for (UsabilitySmell smell : usabilityResults.get(i).getAllSmells()) {
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| 126 | if (smellType.equals(smell.getBriefDescription())) {
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| 127 | smellList.add(smell);
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| 128 | }
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| 129 | }
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| 130 |
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| 131 | relevantSmells.put(usabilityResultNames.get(i), smellList);
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| 132 | }
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| 133 |
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| 134 | analyseAndDump(smellType, relevantSmells, mostProminentSequences);
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| 135 | }
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| 136 | }
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| 137 |
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| 138 | /**
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| 139 | *
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| 140 | */
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| 141 | private void analyseAndDump(String setName,
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| 142 | Map<String, List<UsabilitySmell>> smells,
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| 143 | Map<String, Set<ISequence>> mostProminentSequences)
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| 144 | {
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| 145 | System.out.println("\n\n###################################################################");
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| 146 | System.out.println("usability statistics for " + setName + "\n");
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| 147 |
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| 148 | // determine statistics
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| 149 | int[][] basicResultData = new int[14][];
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| 150 |
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| 151 | for (int i = 0; i < basicResultData.length; i++) {
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| 152 | basicResultData[i] = new int[smells.size()];
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| 153 | }
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| 154 |
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| 155 | Map<String, Map<String, List<UsabilitySmell>>> tagCounters = new TreeMap<>();
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| 156 | List<String> columnNames = new LinkedList<>();
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| 157 |
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| 158 |
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| 159 | int index = 0;
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| 160 | for (Map.Entry<String, List<UsabilitySmell>> smellGroup : smells.entrySet()) {
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| 161 | String usabilityResultName = smellGroup.getKey();
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| 162 | columnNames.add(usabilityResultName);
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| 163 |
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| 164 | basicResultData[COUNT][index] = smellGroup.getValue().size();
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| 165 | basicResultData[DUPLICATES][index] = getDuplicates(smellGroup.getValue());
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| 166 | basicResultData[INTENSITY_LVL][index] = getIntensityLevel(smellGroup.getValue());
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| 167 |
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| 168 | List<UsabilitySmell> truePositives = new LinkedList<>();
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| 169 | List<UsabilitySmell> unassessed = new LinkedList<>();
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| 170 |
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| 171 | List<UsabilitySmell> mps = new LinkedList<>();
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| 172 | List<UsabilitySmell> mpTruePositives = new LinkedList<>();
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| 173 | List<UsabilitySmell> mpUnassessed = new LinkedList<>();
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| 174 |
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| 175 | for (UsabilitySmell smell : smellGroup.getValue()) {
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| 176 | if (smell.getManualLabel() == ManualLabel.TRUE_POSITIVE) {
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| 177 | truePositives.add(smell);
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| 178 | }
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| 179 | else if (smell.getManualLabel() == ManualLabel.UNCHECKED) {
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| 180 | unassessed.add(smell);
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| 181 | }
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| 182 |
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| 183 | if (mostProminentSequences.get(smellGroup.getKey()).contains(smell.getSmellingTask())) {
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| 184 | mps.add(smell);
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| 185 |
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| 186 | if (smell.getManualLabel() == ManualLabel.TRUE_POSITIVE) {
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| 187 | mpTruePositives.add(smell);
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| 188 | }
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| 189 | else if (smell.getManualLabel() == ManualLabel.UNCHECKED) {
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| 190 | mpUnassessed.add(smell);
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| 191 | }
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| 192 | }
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| 193 |
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| 194 | Set<String> tagList = new HashSet<>(smell.getTags());
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| 195 |
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| 196 | Set<Set<String>> powerSetTags = Sets.powerSet(tagList);
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| 197 |
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| 198 | for (Set<String> tagSet : powerSetTags) {
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| 199 | List<String> tags = new LinkedList<>(tagSet);
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| 200 | //{List<String> tags = new LinkedList<>(tagList);
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| 201 | Collections.sort(tags);
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| 202 | String tagCombinationKey = tags.toString();
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| 203 |
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| 204 | Map<String, List<UsabilitySmell>> counterMap = tagCounters.get(tagCombinationKey);
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| 205 |
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| 206 | if (counterMap == null) {
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| 207 | counterMap = new HashMap<>();
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| 208 | tagCounters.put(tagCombinationKey, counterMap);
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| 209 | }
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| 210 |
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| 211 | List<UsabilitySmell> smellWithSameTagCombination =
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| 212 | counterMap.get(usabilityResultName);
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| 213 |
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| 214 | if (smellWithSameTagCombination == null) {
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| 215 | smellWithSameTagCombination = new LinkedList<>();
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| 216 | counterMap.put(usabilityResultName, smellWithSameTagCombination);
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| 217 | }
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| 218 |
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| 219 | smellWithSameTagCombination.add(smell);
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| 220 | }
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| 221 | }
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| 222 |
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| 223 | basicResultData[TRUE_POSITIVE][index] = truePositives.size();
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| 224 | basicResultData[TRUE_POSITIVE_DUPLICATES][index] = getDuplicates(truePositives);
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| 225 | basicResultData[TRUE_POSITIVE_INTENSITY_LVL][index] = getIntensityLevel(truePositives);
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| 226 | basicResultData[UNASSESSED][index] = unassessed.size();
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| 227 |
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| 228 | basicResultData[MP_COUNT][index] = mps.size();
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| 229 | basicResultData[MP_DUPLICATES][index] = getDuplicates(mps);
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| 230 | basicResultData[MP_INTENSITY_LVL][index] = getIntensityLevel(mps);
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| 231 | basicResultData[MP_TRUE_POSITIVE][index] = mpTruePositives.size();
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| 232 | basicResultData[MP_TRUE_POSITIVE_DUPLICATES][index] = getDuplicates(mpTruePositives);
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| 233 | basicResultData[MP_TRUE_POSITIVE_INTENSITY_LVL][index] = getIntensityLevel(mpTruePositives);
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| 234 | basicResultData[MP_UNASSESSED][index] = mpUnassessed.size();
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| 235 |
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| 236 | index++;
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| 237 | }
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| 238 |
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| 239 | int maxTagNameLength = 0;
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| 240 | for (String tagCombination : tagCounters.keySet()) {
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| 241 | maxTagNameLength = Math.max(maxTagNameLength, tagCombination.length());
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| 242 | }
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| 243 |
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| 244 | maxTagNameLength = Math.max(maxTagNameLength, " intensity level".length());
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| 245 |
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| 246 | List<StringBuffer> lines = new LinkedList<>();
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| 247 |
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| 248 | lines.add(createBorderLine(maxTagNameLength, columnNames));
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| 249 | lines.add(new StringBuffer("overall"));
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| 250 | lines.add(createDataLine(" count", maxTagNameLength, basicResultData[COUNT], columnNames));
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| 251 | lines.add(createDataLine(" duplicates", maxTagNameLength, basicResultData[DUPLICATES], columnNames));
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| 252 | lines.add(createDataLine(" intensity level", maxTagNameLength, basicResultData[INTENSITY_LVL], columnNames));
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| 253 | lines.add(createDataLine(" true positives", maxTagNameLength, basicResultData[TRUE_POSITIVE], columnNames));
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| 254 | lines.add(createDataLine(" duplicates", maxTagNameLength, basicResultData[TRUE_POSITIVE_DUPLICATES], columnNames));
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| 255 | lines.add(createDataLine(" intensity level", maxTagNameLength, basicResultData[TRUE_POSITIVE_INTENSITY_LVL], columnNames));
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| 256 | lines.add(createDataLine(" unassessed", maxTagNameLength, basicResultData[UNASSESSED], columnNames));
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| 257 | lines.add(createBorderLine(maxTagNameLength, columnNames));
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| 258 | lines.add(new StringBuffer("most prominent"));
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| 259 | lines.add(createDataLine(" count", maxTagNameLength, basicResultData[MP_COUNT], columnNames));
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| 260 | lines.add(createDataLine(" duplicates", maxTagNameLength, basicResultData[MP_DUPLICATES], columnNames));
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| 261 | lines.add(createDataLine(" intensity level", maxTagNameLength, basicResultData[MP_INTENSITY_LVL], columnNames));
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| 262 | lines.add(createDataLine(" true positives", maxTagNameLength, basicResultData[MP_TRUE_POSITIVE], columnNames));
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| 263 | lines.add(createDataLine(" duplicates", maxTagNameLength, basicResultData[MP_TRUE_POSITIVE_DUPLICATES], columnNames));
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| 264 | lines.add(createDataLine(" intensity level", maxTagNameLength, basicResultData[MP_TRUE_POSITIVE_INTENSITY_LVL], columnNames));
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| 265 | lines.add(createDataLine(" unassessed", maxTagNameLength, basicResultData[MP_UNASSESSED], columnNames));
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| 266 | lines.add(createBorderLine(maxTagNameLength, columnNames));
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| 267 |
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| 268 | for (Map.Entry<String, Map<String, List<UsabilitySmell>>> tagStats : tagCounters.entrySet()) {
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| 269 | StringBuffer line = new StringBuffer();
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| 270 | line.append(tagStats.getKey());
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| 271 |
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| 272 | for (int i = tagStats.getKey().length(); i < maxTagNameLength; i++) {
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| 273 | line.append(' ');
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| 274 | }
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| 275 |
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| 276 | for (String columnName : columnNames) {
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| 277 | String numberStr = "";
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| 278 |
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| 279 | if (tagStats.getValue().get(columnName) != null) {
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| 280 | numberStr += tagStats.getValue().get(columnName).size();
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| 281 |
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| 282 | while (numberStr.length() < 5) {
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| 283 | numberStr += ' ';
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| 284 | }
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| 285 |
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| 286 | numberStr += "(" + getIntensityLevel(tagStats.getValue().get(columnName)) + ")";
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| 287 | }
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| 288 |
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| 289 | line.append(" | ");
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| 290 | line.append(numberStr);
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| 291 |
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| 292 | for (int i = numberStr.length(); i < columnName.length(); i++) {
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| 293 | line.append(' ');
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| 294 | }
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| 295 | }
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| 296 |
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| 297 | lines.add(line);
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| 298 | }
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| 299 |
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| 300 | for (int i = 0; i < maxTagNameLength; i++) {
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| 301 | System.out.print(' ');
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| 302 | }
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| 303 |
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| 304 | for (String columnName : columnNames) {
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| 305 | System.out.print(" | " + columnName);
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| 306 | }
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| 307 |
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| 308 | System.out.println();
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| 309 |
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| 310 | for (StringBuffer line : lines) {
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| 311 | System.out.println(line);
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| 312 | }
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| 313 | }
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| 314 |
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| 315 | /**
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| 316 | *
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| 317 | */
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| 318 | private StringBuffer createBorderLine(int firstColumnWith, List<String> columnNames) {
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| 319 | StringBuffer line = new StringBuffer();
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| 320 |
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| 321 | for (int i = 0; i < firstColumnWith; i++) {
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| 322 | line.append('-');
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| 323 | }
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| 324 |
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| 325 | for (String columnName : columnNames) {
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| 326 | line.append("-|-");
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| 327 | for (int j = 0; j < columnName.length(); j++) {
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| 328 | line.append('-');
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| 329 | }
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| 330 | }
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| 331 |
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| 332 | return line;
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| 333 | }
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| 334 |
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| 335 | /**
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| 336 | *
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| 337 | */
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| 338 | private StringBuffer createDataLine(String lineName,
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| 339 | int firstColumnWith,
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| 340 | int[] values,
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| 341 | List<String> columnNames)
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| 342 | {
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| 343 | StringBuffer line = new StringBuffer();
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| 344 |
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| 345 | line.append(lineName);
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| 346 |
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| 347 | for (int i = lineName.length(); i < firstColumnWith; i++) {
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| 348 | line.append(' ');
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| 349 | }
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| 350 |
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| 351 | for (int i = 0; i < values.length; i++) {
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| 352 | String numberStr = "" + values[i];
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| 353 |
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| 354 | line.append(" | ");
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| 355 | line.append(numberStr);
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| 356 |
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| 357 | for (int j = numberStr.length(); j < columnNames.get(i).length(); j++) {
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| 358 | line.append(' ');
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| 359 | }
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| 360 | }
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| 361 |
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| 362 | return line;
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| 363 | }
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| 364 |
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| 365 | /**
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| 366 | *
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| 367 | */
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| 368 | private int getDuplicates(List<UsabilitySmell> allSmells) {
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| 369 | int duplicateCount = 0;
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| 370 |
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| 371 | for (UsabilitySmell smell1 : allSmells) {
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| 372 | if (smell1.getSmellingTask() != null) {
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| 373 | for (UsabilitySmell smell2 : allSmells) {
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| 374 | if ((smell2.getSmellingTask() != null) &&
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| 375 | (smell1.getSmellingTask() != smell2.getSmellingTask()) &&
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| 376 | (TaskTreeUtils.isChild(smell1.getSmellingTask(), smell2.getSmellingTask())))
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| 377 | {
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| 378 | duplicateCount++;
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| 379 | break;
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| 380 | }
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| 381 | }
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| 382 | }
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| 383 | }
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| 384 |
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| 385 | return duplicateCount;
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| 386 | }
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| 387 |
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| 388 | /**
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| 389 | *
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| 390 | */
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| 391 | private int getIntensityLevel(List<UsabilitySmell> smellList) {
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| 392 | if (smellList.size() <= 0) {
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| 393 | return -1;
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| 394 | }
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| 395 |
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| 396 | LinkedList<UsabilitySmell> smellsToConsider = new LinkedList<>();
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| 397 |
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| 398 | // determine the smells with the highest intensity
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| 399 | for (UsabilitySmell smell : smellList) {
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| 400 | boolean added = false;
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| 401 | ListIterator<UsabilitySmell> it = smellsToConsider.listIterator();
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| 402 |
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| 403 | while (it.hasNext()) {
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| 404 | if (it.next().getIntensity().getRatio() < smell.getIntensity().getRatio()) {
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| 405 | it.previous();
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| 406 | it.add(smell);
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| 407 | added = true;
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| 408 | break;
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| 409 | }
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| 410 | }
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| 411 |
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| 412 | if (!added) {
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| 413 | smellsToConsider.add(smell);
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| 414 | }
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| 415 |
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| 416 | while (smellsToConsider.size() > 5) {
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| 417 | smellsToConsider.removeLast();
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| 418 | }
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| 419 | }
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| 420 |
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| 421 | // calculate the average intensity of the smells with the highest intensity
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| 422 | int cummulativeIntensity = 0;
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| 423 | for (UsabilitySmell smell : smellsToConsider) {
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| 424 | cummulativeIntensity += smell.getIntensity().getRatio();
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| 425 | }
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| 426 |
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| 427 | return cummulativeIntensity / smellsToConsider.size();
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| 428 | }
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| 429 | /*
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| 430 | * (non-Javadoc)
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| 431 | *
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| 432 | * @see de.ugoe.cs.util.console.Command#help()
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| 433 | */
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| 434 | @Override
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| 435 | public String help() {
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| 436 | return "usabilityStatistics [<usabilityEvaluationResultName>]*";
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| 437 | }
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| 438 |
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| 439 | }
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