| 1 | package de.uka.ipd.sdq.reliability.solver.reporting; |
| 2 | |
| 3 | import java.util.ArrayList; |
| 4 | import java.util.List; |
| 5 | import java.util.Map; |
| 6 | import java.util.TreeSet; |
| 7 | |
| 8 | import de.uka.ipd.sdq.pcm.usagemodel.UsageScenario; |
| 9 | import de.uka.ipd.sdq.pcmsolver.runconfig.PCMSolverWorkflowRunConfiguration; |
| 10 | import de.uka.ipd.sdq.reliability.core.MarkovEvaluationType; |
| 11 | import de.uka.ipd.sdq.reliability.core.MarkovFailureType; |
| 12 | import de.uka.ipd.sdq.reliability.core.MarkovHardwareInducedFailureType; |
| 13 | import de.uka.ipd.sdq.reliability.core.MarkovNetworkInducedFailureType; |
| 14 | import de.uka.ipd.sdq.reliability.core.MarkovSoftwareInducedFailureType; |
| 15 | import de.uka.ipd.sdq.reliability.solver.pcm2markov.MarkovResultApproximation; |
| 16 | import de.uka.ipd.sdq.reliability.solver.pcm2markov.MarkovTransformationResult; |
| 17 | |
| 18 | /** |
| 19 | * Class used for aggregation and output of success/failure probabilities that |
| 20 | * were calculated during a reliability analysis. |
| 21 | * |
| 22 | * @author Daniel Patejdl |
| 23 | * |
| 24 | */ |
| 25 | public class MarkovReporting { |
| 26 | /** |
| 27 | * Configuration properties for the reliability solver workflow. |
| 28 | */ |
| 29 | PCMSolverWorkflowRunConfiguration configuration; |
| 30 | |
| 31 | /** |
| 32 | * Will store the overall failure probabilities of entities (components' |
| 33 | * internal actions, their services and service operations, external |
| 34 | * services and their operations). |
| 35 | */ |
| 36 | List<ImpactAnalysisFailureProbabilityAggregation> failureProbabilityAggregations; |
| 37 | |
| 38 | /** |
| 39 | * A list of MarkovReportItem instances, which are generated as a result of |
| 40 | * all Markov transformation results. They will be used for later output to |
| 41 | * the user. |
| 42 | */ |
| 43 | List<MarkovReportItem> markovReportItems; |
| 44 | |
| 45 | /** |
| 46 | * List of aggregated results of a PCM2MarkovTransformation |
| 47 | */ |
| 48 | private List<MarkovTransformationResult> markovResults; |
| 49 | |
| 50 | /** |
| 51 | * Creates a new MarkovReporting instance that is used for result |
| 52 | * aggregation according to the given Markov transformation results. |
| 53 | * |
| 54 | * @param markovResults |
| 55 | * the Markov transformation results |
| 56 | * @param config |
| 57 | * the configuration properties for the reliability solver |
| 58 | * workflow |
| 59 | */ |
| 60 | public MarkovReporting(List<MarkovTransformationResult> markovResults, |
| 61 | PCMSolverWorkflowRunConfiguration configuration) { |
| 62 | this.markovResults = markovResults; |
| 63 | this.configuration = configuration; |
| 64 | // failureProbabilityAggregations = new |
| 65 | // ArrayList<ImpactAnalysisFailureProbabilityAggregation>(); |
| 66 | markovReportItems = new ArrayList<MarkovReportItem>(); |
| 67 | |
| 68 | createMarkovReportItems(); |
| 69 | } |
| 70 | |
| 71 | /** |
| 72 | * Calculates all components' internal action failure probabilities for |
| 73 | * later output. |
| 74 | */ |
| 75 | private void calculateComponentsInternalActionFailureProbabilities( |
| 76 | Map<MarkovFailureType, Double> cumulatedFailureTypeProbabilities) { |
| 77 | for (MarkovFailureType failureType : cumulatedFailureTypeProbabilities |
| 78 | .keySet()) { |
| 79 | if (!failureType.isSystemExternal()) { // only consider (internal) |
| 80 | // components |
| 81 | if (failureType instanceof MarkovSoftwareInducedFailureType) { |
| 82 | MarkovSoftwareInducedFailureType softwareInducedFailureType = (MarkovSoftwareInducedFailureType) failureType; |
| 83 | |
| 84 | /* |
| 85 | * If the component ID is not in our data structure, we will |
| 86 | * add a new entry to it. If the component ID is already in |
| 87 | * the data structure, we will not add it again, but we will |
| 88 | * add to (the existing failure probability) the current |
| 89 | * failure type's probability. |
| 90 | */ |
| 91 | boolean foundEntry = false; |
| 92 | List<String> identifiers = new ArrayList<String>(1); |
| 93 | identifiers |
| 94 | .add(softwareInducedFailureType.getComponentId()); |
| 95 | List<String> nameParts = new ArrayList<String>(1); |
| 96 | nameParts |
| 97 | .add(softwareInducedFailureType.getComponentName()); |
| 98 | for (ImpactAnalysisFailureProbabilityAggregation aggregation : failureProbabilityAggregations) { |
| 99 | if (aggregation |
| 100 | .compareToIdentifier( |
| 101 | ImpactAnalysisFailureType.COMPONENTS_INTERNAL_ACTIONS, |
| 102 | identifiers)) { |
| 103 | // this component ID is already in our data |
| 104 | // structure, therefore we do not |
| 105 | // add a new entry, but update the existing one |
| 106 | // accordingly |
| 107 | aggregation |
| 108 | .addToFailureProbabilityBy(cumulatedFailureTypeProbabilities |
| 109 | .get(failureType)); |
| 110 | foundEntry = true; |
| 111 | break; // found and updated the entry, so we are |
| 112 | // done |
| 113 | } |
| 114 | } |
| 115 | if (!foundEntry) { |
| 116 | // we did not find a fitting entry, so we add a new one |
| 117 | // and set its values accordingly |
| 118 | failureProbabilityAggregations |
| 119 | .add(new ImpactAnalysisFailureProbabilityAggregation( |
| 120 | ImpactAnalysisFailureType.COMPONENTS_INTERNAL_ACTIONS, |
| 121 | identifiers, nameParts, |
| 122 | cumulatedFailureTypeProbabilities |
| 123 | .get(failureType))); |
| 124 | } |
| 125 | } |
| 126 | } |
| 127 | } |
| 128 | } |
| 129 | |
| 130 | /** |
| 131 | * Calculates all components' service (interface) failure probabilities for |
| 132 | * later output. |
| 133 | */ |
| 134 | private void calculateComponentsServiceFailureProbabilities( |
| 135 | Map<MarkovFailureType, Double> cumulatedFailureTypeProbabilities) { |
| 136 | for (MarkovFailureType failureType : cumulatedFailureTypeProbabilities |
| 137 | .keySet()) { |
| 138 | if (!failureType.isSystemExternal()) { // only consider (internal) |
| 139 | // components |
| 140 | if (failureType instanceof MarkovSoftwareInducedFailureType) { |
| 141 | MarkovSoftwareInducedFailureType softwareInducedFailureType = (MarkovSoftwareInducedFailureType) failureType; |
| 142 | boolean foundEntry = false; |
| 143 | List<String> identifiers = new ArrayList<String>(2); |
| 144 | identifiers |
| 145 | .add(softwareInducedFailureType.getComponentId()); |
| 146 | identifiers |
| 147 | .add(softwareInducedFailureType.getInterfaceId()); |
| 148 | List<String> nameParts = new ArrayList<String>(2); |
| 149 | nameParts |
| 150 | .add(softwareInducedFailureType.getComponentName()); |
| 151 | nameParts |
| 152 | .add(softwareInducedFailureType.getInterfaceName()); |
| 153 | for (ImpactAnalysisFailureProbabilityAggregation aggregation : failureProbabilityAggregations) { |
| 154 | if (aggregation.compareToIdentifier( |
| 155 | ImpactAnalysisFailureType.COMPONENTS_SERVICES, |
| 156 | identifiers)) { |
| 157 | // this entity is already in our data structure, |
| 158 | // therefore we do not |
| 159 | // add a new entry, but update the existing one |
| 160 | // accordingly |
| 161 | aggregation |
| 162 | .addToFailureProbabilityBy(cumulatedFailureTypeProbabilities |
| 163 | .get(failureType)); |
| 164 | foundEntry = true; |
| 165 | break; // found and updated the entry, so we are |
| 166 | // done |
| 167 | } |
| 168 | } |
| 169 | if (!foundEntry) { |
| 170 | // we did not find a fitting entry, so we add a new one |
| 171 | // and set its values |
| 172 | // accordingly |
| 173 | failureProbabilityAggregations |
| 174 | .add(new ImpactAnalysisFailureProbabilityAggregation( |
| 175 | ImpactAnalysisFailureType.COMPONENTS_SERVICES, |
| 176 | identifiers, nameParts, |
| 177 | cumulatedFailureTypeProbabilities |
| 178 | .get(failureType))); |
| 179 | } |
| 180 | } |
| 181 | } |
| 182 | } |
| 183 | } |
| 184 | |
| 185 | /** |
| 186 | * Calculates all components' service operation (signature) failure |
| 187 | * probabilities for later output. |
| 188 | */ |
| 189 | private void calculateComponentsServiceOperationFailureProbabilities( |
| 190 | Map<MarkovFailureType, Double> cumulatedFailureTypeProbabilities) { |
| 191 | for (MarkovFailureType failureType : cumulatedFailureTypeProbabilities |
| 192 | .keySet()) { |
| 193 | if (!failureType.isSystemExternal()) { // only consider (internal) |
| 194 | // components |
| 195 | if (failureType instanceof MarkovSoftwareInducedFailureType) { |
| 196 | MarkovSoftwareInducedFailureType softwareInducedFailureType = (MarkovSoftwareInducedFailureType) failureType; |
| 197 | boolean foundEntry = false; |
| 198 | List<String> identifiers = new ArrayList<String>(3); |
| 199 | identifiers |
| 200 | .add(softwareInducedFailureType.getComponentId()); |
| 201 | identifiers |
| 202 | .add(softwareInducedFailureType.getInterfaceId()); |
| 203 | identifiers |
| 204 | .add(softwareInducedFailureType.getSignatureId()); |
| 205 | List<String> nameParts = new ArrayList<String>(3); |
| 206 | nameParts |
| 207 | .add(softwareInducedFailureType.getComponentName()); |
| 208 | nameParts |
| 209 | .add(softwareInducedFailureType.getInterfaceName()); |
| 210 | nameParts |
| 211 | .add(softwareInducedFailureType.getSignatureName()); |
| 212 | for (ImpactAnalysisFailureProbabilityAggregation aggregation : failureProbabilityAggregations) { |
| 213 | if (aggregation |
| 214 | .compareToIdentifier( |
| 215 | ImpactAnalysisFailureType.COMPONENTS_SERVICE_OPERATIONS, |
| 216 | identifiers)) { |
| 217 | // this entity is already in our data structure, |
| 218 | // therefore we do not |
| 219 | // add a new entry, but update the existing one |
| 220 | // accordingly |
| 221 | aggregation |
| 222 | .addToFailureProbabilityBy(cumulatedFailureTypeProbabilities |
| 223 | .get(failureType)); |
| 224 | foundEntry = true; |
| 225 | break; // found and updated the entry, so we are |
| 226 | // done |
| 227 | } |
| 228 | } |
| 229 | if (!foundEntry) { |
| 230 | // we did not find a fitting entry, so we add a new one |
| 231 | // and set its values |
| 232 | // accordingly |
| 233 | failureProbabilityAggregations |
| 234 | .add(new ImpactAnalysisFailureProbabilityAggregation( |
| 235 | ImpactAnalysisFailureType.COMPONENTS_SERVICE_OPERATIONS, |
| 236 | identifiers, nameParts, |
| 237 | cumulatedFailureTypeProbabilities |
| 238 | .get(failureType))); |
| 239 | } |
| 240 | } |
| 241 | } |
| 242 | } |
| 243 | } |
| 244 | |
| 245 | /** |
| 246 | * Calculates all external service (role and interface) failure |
| 247 | * probabilities for later output. |
| 248 | */ |
| 249 | private void calculateExternalServiceFailureProbabilities( |
| 250 | Map<MarkovFailureType, Double> cumulatedFailureTypeProbabilities) { |
| 251 | for (MarkovFailureType failureType : cumulatedFailureTypeProbabilities |
| 252 | .keySet()) { |
| 253 | if (failureType.isSystemExternal()) { // only consider external |
| 254 | // services |
| 255 | boolean foundEntry = false; |
| 256 | List<String> identifiers = new ArrayList<String>(2); |
| 257 | identifiers.add(failureType.getRoleId()); |
| 258 | identifiers.add(failureType.getInterfaceId()); |
| 259 | List<String> nameParts = new ArrayList<String>(2); |
| 260 | nameParts.add(failureType.getRoleName()); |
| 261 | nameParts.add(failureType.getInterfaceName()); |
| 262 | for (ImpactAnalysisFailureProbabilityAggregation aggregation : failureProbabilityAggregations) { |
| 263 | if (aggregation.compareToIdentifier( |
| 264 | ImpactAnalysisFailureType.EXTERNAL_SERVICES, |
| 265 | identifiers)) { |
| 266 | // this entity is already in our data structure, |
| 267 | // therefore we do not |
| 268 | // add a new entry, but update the existing one |
| 269 | // accordingly |
| 270 | aggregation |
| 271 | .addToFailureProbabilityBy(cumulatedFailureTypeProbabilities |
| 272 | .get(failureType)); |
| 273 | foundEntry = true; |
| 274 | break; // found and updated the entry, so we are done |
| 275 | } |
| 276 | } |
| 277 | if (!foundEntry) { |
| 278 | // we did not find a fitting entry, so we add a new one and |
| 279 | // set its values |
| 280 | // accordingly |
| 281 | failureProbabilityAggregations |
| 282 | .add(new ImpactAnalysisFailureProbabilityAggregation( |
| 283 | ImpactAnalysisFailureType.EXTERNAL_SERVICES, |
| 284 | identifiers, nameParts, |
| 285 | cumulatedFailureTypeProbabilities |
| 286 | .get(failureType))); |
| 287 | } |
| 288 | } |
| 289 | } |
| 290 | } |
| 291 | |
| 292 | /** |
| 293 | * Calculates all external service operation (signature) failure |
| 294 | * probabilities for later output. |
| 295 | */ |
| 296 | private void calculateExternalServiceOperationFailureProbabilities( |
| 297 | Map<MarkovFailureType, Double> cumulatedFailureTypeProbabilities) { |
| 298 | for (MarkovFailureType failureType : cumulatedFailureTypeProbabilities |
| 299 | .keySet()) { |
| 300 | if (failureType.isSystemExternal()) { // only consider external |
| 301 | // services |
| 302 | boolean foundEntry = false; |
| 303 | List<String> identifiers = new ArrayList<String>(3); |
| 304 | identifiers.add(failureType.getRoleId()); |
| 305 | identifiers.add(failureType.getInterfaceId()); |
| 306 | identifiers.add(failureType.getSignatureId()); |
| 307 | List<String> nameParts = new ArrayList<String>(3); |
| 308 | nameParts.add(failureType.getRoleName()); |
| 309 | nameParts.add(failureType.getInterfaceName()); |
| 310 | nameParts.add(failureType.getSignatureName()); |
| 311 | for (ImpactAnalysisFailureProbabilityAggregation aggregation : failureProbabilityAggregations) { |
| 312 | if (aggregation |
| 313 | .compareToIdentifier( |
| 314 | ImpactAnalysisFailureType.EXTERNAL_SERVICE_OPERATIONS, |
| 315 | identifiers)) { |
| 316 | // this entity is already in our data structure, |
| 317 | // therefore we do not |
| 318 | // add a new entry, but update the existing one |
| 319 | // accordingly |
| 320 | aggregation |
| 321 | .addToFailureProbabilityBy(cumulatedFailureTypeProbabilities |
| 322 | .get(failureType)); |
| 323 | foundEntry = true; |
| 324 | break; // found and updated the entry, so we are done |
| 325 | } |
| 326 | } |
| 327 | if (!foundEntry) { |
| 328 | // we did not find a fitting entry, so we add a new one and |
| 329 | // set its values |
| 330 | // accordingly |
| 331 | failureProbabilityAggregations |
| 332 | .add(new ImpactAnalysisFailureProbabilityAggregation( |
| 333 | ImpactAnalysisFailureType.EXTERNAL_SERVICE_OPERATIONS, |
| 334 | identifiers, nameParts, |
| 335 | cumulatedFailureTypeProbabilities |
| 336 | .get(failureType))); |
| 337 | } |
| 338 | } |
| 339 | } |
| 340 | } |
| 341 | |
| 342 | private void createClassesFailureAnalysisTable( |
| 343 | Map<MarkovFailureType, Double> cumulatedFailureTypeProbabilities, |
| 344 | double cumulatedPhysicalStateProbability, boolean doApproximate, |
| 345 | MarkovReportItem markovReportItem) { |
| 346 | double failureProbability; |
| 347 | MarkovReportingTable failureCategoryTable = new MarkovReportingTable( |
| 348 | "Failure mode categories"); |
| 349 | List<String> failureCategoryTableHeaderRow = new ArrayList<String>(2); |
| 350 | failureCategoryTableHeaderRow.add("Category"); |
| 351 | failureCategoryTableHeaderRow.add("Failure Mode Probability"); |
| 352 | failureCategoryTable.setHeaderRow(failureCategoryTableHeaderRow); |
| 353 | |
| 354 | // determine failure probabilities |
| 355 | ClassesFailureProbabilityAggregation softwareInducedFailureAggregation = new ClassesFailureProbabilityAggregation( |
| 356 | FailureAnalysisFailureType.SOFTWARE_INDUCED); |
| 357 | ClassesFailureProbabilityAggregation hardwareInducedFailureAggregation = new ClassesFailureProbabilityAggregation( |
| 358 | FailureAnalysisFailureType.HARDWARE_INDUCED); |
| 359 | ClassesFailureProbabilityAggregation networkInducedFailureAggregation = new ClassesFailureProbabilityAggregation( |
| 360 | FailureAnalysisFailureType.NETWORK_INDUCED); |
| 361 | for (MarkovFailureType type : cumulatedFailureTypeProbabilities |
| 362 | .keySet()) { |
| 363 | if (!type.isSystemExternal()) { // only consider internal failures |
| 364 | if (type instanceof MarkovSoftwareInducedFailureType) { |
| 365 | softwareInducedFailureAggregation |
| 366 | .addToFailureProbabilityBy(cumulatedFailureTypeProbabilities |
| 367 | .get(type)); |
| 368 | } else if (type instanceof MarkovHardwareInducedFailureType) { |
| 369 | hardwareInducedFailureAggregation |
| 370 | .addToFailureProbabilityBy(cumulatedFailureTypeProbabilities |
| 371 | .get(type)); |
| 372 | } else if (type instanceof MarkovNetworkInducedFailureType) { |
| 373 | networkInducedFailureAggregation |
| 374 | .addToFailureProbabilityBy(cumulatedFailureTypeProbabilities |
| 375 | .get(type)); |
| 376 | } |
| 377 | } |
| 378 | } |
| 379 | |
| 380 | // create rows of table |
| 381 | List<String> row = new ArrayList<String>(failureCategoryTableHeaderRow |
| 382 | .size()); |
| 383 | row.add("Software-induced failure"); |
| 384 | failureProbability = softwareInducedFailureAggregation |
| 385 | .getFailureProbability(); |
| 386 | row.add(String.valueOf(doApproximate ? getFormattedProbabilityAsString( |
| 387 | failureProbability, failureProbability + 1 |
| 388 | - cumulatedPhysicalStateProbability) |
| 389 | : getFormattedProbabilityAsString(failureProbability))); |
| 390 | if (failureProbability > 0.0) { |
| 391 | failureCategoryTable.addRow(row); |
| 392 | } |
| 393 | |
| 394 | row = new ArrayList<String>(failureCategoryTableHeaderRow.size()); |
| 395 | row.add("Hardware-induced failure"); |
| 396 | failureProbability = hardwareInducedFailureAggregation |
| 397 | .getFailureProbability(); |
| 398 | row.add(String.valueOf(doApproximate ? getFormattedProbabilityAsString( |
| 399 | failureProbability, failureProbability + 1 |
| 400 | - cumulatedPhysicalStateProbability) |
| 401 | : getFormattedProbabilityAsString(failureProbability))); |
| 402 | if (failureProbability > 0.0) { |
| 403 | failureCategoryTable.addRow(row); |
| 404 | } |
| 405 | |
| 406 | row = new ArrayList<String>(failureCategoryTableHeaderRow.size()); |
| 407 | row.add("Network-induced failure"); |
| 408 | failureProbability = networkInducedFailureAggregation |
| 409 | .getFailureProbability(); |
| 410 | row.add(String.valueOf(doApproximate ? getFormattedProbabilityAsString( |
| 411 | failureProbability, failureProbability + 1 |
| 412 | - cumulatedPhysicalStateProbability) |
| 413 | : getFormattedProbabilityAsString(failureProbability))); |
| 414 | if (failureProbability > 0.0) { |
| 415 | failureCategoryTable.addRow(row); |
| 416 | } |
| 417 | |
| 418 | // finally, add table to report item if it contains at least one row |
| 419 | if (failureCategoryTable.getRows().size() > 0) { |
| 420 | markovReportItem.addFailureModeTable(failureCategoryTable); |
| 421 | } |
| 422 | } |
| 423 | |
| 424 | private void createFailureAnalysisTables( |
| 425 | Map<MarkovFailureType, Double> cumulatedFailureTypeProbabilities, |
| 426 | double cumulatedPhysicalStateProbability, boolean doApproximate, |
| 427 | MarkovReportItem markovReportItem, MarkovEvaluationType mode) { |
| 428 | switch (mode) { |
| 429 | case SINGLE: |
| 430 | // do nothing |
| 431 | break; |
| 432 | case CLASSES: // failure categories |
| 433 | createClassesFailureAnalysisTable( |
| 434 | cumulatedFailureTypeProbabilities, |
| 435 | cumulatedPhysicalStateProbability, doApproximate, |
| 436 | markovReportItem); |
| 437 | break; |
| 438 | case TYPES: |
| 439 | createTypesFailureAnalysisTable(cumulatedFailureTypeProbabilities, |
| 440 | cumulatedPhysicalStateProbability, doApproximate, |
| 441 | markovReportItem); |
| 442 | break; |
| 443 | case POINTSOFFAILURE: |
| 444 | createPointsOfFailureAnalysisTable( |
| 445 | cumulatedFailureTypeProbabilities, |
| 446 | cumulatedPhysicalStateProbability, doApproximate, |
| 447 | markovReportItem); |
| 448 | break; |
| 449 | default: |
| 450 | break; |
| 451 | } |
| 452 | } |
| 453 | |
| 454 | private void createImpactAnalysisTables( |
| 455 | double cumulatedPhysicalStateProbability, boolean doApproximate, |
| 456 | MarkovReportItem markovReportItem) { |
| 457 | MarkovReportingTable componentsInternalActionFailureProbabilitiesTable = new MarkovReportingTable( |
| 458 | "Component failure impacts"); |
| 459 | List<String> componentsInternalActionFailureProbabilitiesTableHeaderRow = new ArrayList<String>( |
| 460 | 3); |
| 461 | componentsInternalActionFailureProbabilitiesTableHeaderRow |
| 462 | .add("Component"); |
| 463 | componentsInternalActionFailureProbabilitiesTableHeaderRow |
| 464 | .add("Aggregated Failure Mode Probability"); |
| 465 | componentsInternalActionFailureProbabilitiesTable |
| 466 | .setHeaderRow(componentsInternalActionFailureProbabilitiesTableHeaderRow); |
| 467 | // componentsServiceFailureProbabilities |
| 468 | MarkovReportingTable componentsServiceFailureProbabilitiesTable = new MarkovReportingTable( |
| 469 | "Component service failure impacts"); |
| 470 | List<String> componentsServiceFailureProbabilitiesTableHeaderRow = new ArrayList<String>( |
| 471 | 3); |
| 472 | componentsServiceFailureProbabilitiesTableHeaderRow.add("Component"); |
| 473 | componentsServiceFailureProbabilitiesTableHeaderRow.add("Interface"); |
| 474 | componentsServiceFailureProbabilitiesTableHeaderRow |
| 475 | .add("Aggregated Failure Mode Probability"); |
| 476 | componentsServiceFailureProbabilitiesTable |
| 477 | .setHeaderRow(componentsServiceFailureProbabilitiesTableHeaderRow); |
| 478 | // componentsServiceOperationFailureProbabilities |
| 479 | MarkovReportingTable componentsServiceOperationFailureProbabilitiesTable = new MarkovReportingTable( |
| 480 | "Component operation failure impacts"); |
| 481 | List<String> componentsServiceOperationFailureProbabilitiesTableHeaderRow = new ArrayList<String>( |
| 482 | 4); |
| 483 | componentsServiceOperationFailureProbabilitiesTableHeaderRow |
| 484 | .add("Component"); |
| 485 | componentsServiceOperationFailureProbabilitiesTableHeaderRow |
| 486 | .add("Interface"); |
| 487 | componentsServiceOperationFailureProbabilitiesTableHeaderRow |
| 488 | .add("Signature"); |
| 489 | componentsServiceOperationFailureProbabilitiesTableHeaderRow |
| 490 | .add("Aggregated Failure Mode Probability"); |
| 491 | componentsServiceOperationFailureProbabilitiesTable |
| 492 | .setHeaderRow(componentsServiceOperationFailureProbabilitiesTableHeaderRow); |
| 493 | // externalServiceFailureProbabilities |
| 494 | MarkovReportingTable externalServiceFailureProbabilitiesTable = new MarkovReportingTable( |
| 495 | "External service failure impacts"); |
| 496 | List<String> externalServiceFailureProbabilitiesTableHeaderRow = new ArrayList<String>( |
| 497 | 4); |
| 498 | externalServiceFailureProbabilitiesTableHeaderRow |
| 499 | .add("System-required Role"); |
| 500 | externalServiceFailureProbabilitiesTableHeaderRow.add("Interface"); |
| 501 | externalServiceFailureProbabilitiesTableHeaderRow |
| 502 | .add("Aggregated Failure Mode Probability"); |
| 503 | externalServiceFailureProbabilitiesTable |
| 504 | .setHeaderRow(externalServiceFailureProbabilitiesTableHeaderRow); |
| 505 | // externalServiceOperationFailureProbabilities |
| 506 | MarkovReportingTable externalServiceOperationFailureProbabilitiesTable = new MarkovReportingTable( |
| 507 | "External operation failure impacts"); |
| 508 | List<String> externalServiceOperationFailureProbabilitiesTableHeaderRow = new ArrayList<String>( |
| 509 | 4); |
| 510 | externalServiceOperationFailureProbabilitiesTableHeaderRow |
| 511 | .add("System-required Role"); |
| 512 | externalServiceOperationFailureProbabilitiesTableHeaderRow |
| 513 | .add("Interface"); |
| 514 | externalServiceOperationFailureProbabilitiesTableHeaderRow |
| 515 | .add("Signature"); |
| 516 | externalServiceOperationFailureProbabilitiesTableHeaderRow |
| 517 | .add("Aggregated Failure Mode Probability"); |
| 518 | externalServiceOperationFailureProbabilitiesTable |
| 519 | .setHeaderRow(externalServiceOperationFailureProbabilitiesTableHeaderRow); |
| 520 | |
| 521 | /* |
| 522 | * Create a table row for each failure probability aggregation, and add |
| 523 | * this row to the according impact analysis table. |
| 524 | */ |
| 525 | for (ImpactAnalysisFailureProbabilityAggregation aggregation : failureProbabilityAggregations) { |
| 526 | double failureProbability = aggregation.getFailureProbability(); |
| 527 | if (!(failureProbability > 0.0)) { |
| 528 | continue; |
| 529 | } |
| 530 | switch (aggregation.getType()) { |
| 531 | case COMPONENTS_INTERNAL_ACTIONS: |
| 532 | List<String> componentsInternalActionFailureProbabilitiesTableRow = new ArrayList<String>( |
| 533 | componentsInternalActionFailureProbabilitiesTableHeaderRow |
| 534 | .size()); // create new row |
| 535 | for (String entityNamePart : aggregation.getEntityNameParts()) { // add |
| 536 | // name |
| 537 | // parts |
| 538 | // to |
| 539 | // row; |
| 540 | // one |
| 541 | // column |
| 542 | // per |
| 543 | // name |
| 544 | // part |
| 545 | componentsInternalActionFailureProbabilitiesTableRow |
| 546 | .add(entityNamePart); |
| 547 | } |
| 548 | componentsInternalActionFailureProbabilitiesTableRow |
| 549 | .add(doApproximate ? getFormattedProbabilityAsString( |
| 550 | failureProbability, failureProbability + 1 |
| 551 | - cumulatedPhysicalStateProbability) |
| 552 | : getFormattedProbabilityAsString(failureProbability)); // also |
| 553 | // add |
| 554 | // failure |
| 555 | // probability |
| 556 | // to |
| 557 | // this |
| 558 | // row |
| 559 | componentsInternalActionFailureProbabilitiesTable |
| 560 | .addRow(componentsInternalActionFailureProbabilitiesTableRow); // insert |
| 561 | // row |
| 562 | // into |
| 563 | // table |
| 564 | break; |
| 565 | case COMPONENTS_SERVICES: |
| 566 | List<String> componentsServicesFailureProbabilitiesTableRow = new ArrayList<String>( |
| 567 | componentsServiceFailureProbabilitiesTableHeaderRow |
| 568 | .size()); // create new row |
| 569 | for (String entityNamePart : aggregation.getEntityNameParts()) { // add |
| 570 | // name |
| 571 | // parts |
| 572 | // to |
| 573 | // row; |
| 574 | // one |
| 575 | // column |
| 576 | // per |
| 577 | // name |
| 578 | // part |
| 579 | componentsServicesFailureProbabilitiesTableRow |
| 580 | .add(entityNamePart); |
| 581 | } |
| 582 | componentsServicesFailureProbabilitiesTableRow |
| 583 | .add(doApproximate ? getFormattedProbabilityAsString( |
| 584 | failureProbability, failureProbability + 1 |
| 585 | - cumulatedPhysicalStateProbability) |
| 586 | : getFormattedProbabilityAsString(failureProbability)); // also |
| 587 | // add |
| 588 | // failure |
| 589 | // probability |
| 590 | // to |
| 591 | // this |
| 592 | // row |
| 593 | componentsServiceFailureProbabilitiesTable |
| 594 | .addRow(componentsServicesFailureProbabilitiesTableRow); // insert |
| 595 | // row |
| 596 | // into |
| 597 | // table |
| 598 | break; |
| 599 | case COMPONENTS_SERVICE_OPERATIONS: |
| 600 | List<String> componentsServiceOperationFailureProbabilitiesTableRow = new ArrayList<String>( |
| 601 | componentsServiceOperationFailureProbabilitiesTableHeaderRow |
| 602 | .size()); // create new row |
| 603 | for (String entityNamePart : aggregation.getEntityNameParts()) { // add |
| 604 | // name |
| 605 | // parts |
| 606 | // to |
| 607 | // row; |
| 608 | // one |
| 609 | // column |
| 610 | // per |
| 611 | // name |
| 612 | // part |
| 613 | componentsServiceOperationFailureProbabilitiesTableRow |
| 614 | .add(entityNamePart); |
| 615 | } |
| 616 | componentsServiceOperationFailureProbabilitiesTableRow |
| 617 | .add(doApproximate ? getFormattedProbabilityAsString( |
| 618 | failureProbability, failureProbability + 1 |
| 619 | - cumulatedPhysicalStateProbability) |
| 620 | : getFormattedProbabilityAsString(failureProbability)); // also |
| 621 | // add |
| 622 | // failure |
| 623 | // probability |
| 624 | // to |
| 625 | // this |
| 626 | // row |
| 627 | componentsServiceOperationFailureProbabilitiesTable |
| 628 | .addRow(componentsServiceOperationFailureProbabilitiesTableRow); // insert |
| 629 | // row |
| 630 | // into |
| 631 | // table |
| 632 | break; |
| 633 | case EXTERNAL_SERVICES: |
| 634 | List<String> externalServiceFailureProbabilitiesTableRow = new ArrayList<String>( |
| 635 | externalServiceFailureProbabilitiesTableHeaderRow |
| 636 | .size()); // create new row |
| 637 | for (String entityNamePart : aggregation.getEntityNameParts()) { // add |
| 638 | // name |
| 639 | // parts |
| 640 | // to |
| 641 | // row; |
| 642 | // one |
| 643 | // column |
| 644 | // per |
| 645 | // name |
| 646 | // part |
| 647 | externalServiceFailureProbabilitiesTableRow |
| 648 | .add(entityNamePart); |
| 649 | } |
| 650 | externalServiceFailureProbabilitiesTableRow |
| 651 | .add(doApproximate ? getFormattedProbabilityAsString( |
| 652 | failureProbability, failureProbability + 1 |
| 653 | - cumulatedPhysicalStateProbability) |
| 654 | : getFormattedProbabilityAsString(failureProbability)); // also |
| 655 | // add |
| 656 | // failure |
| 657 | // probability |
| 658 | // to |
| 659 | // this |
| 660 | // row |
| 661 | externalServiceFailureProbabilitiesTable |
| 662 | .addRow(externalServiceFailureProbabilitiesTableRow); // insert |
| 663 | // row |
| 664 | // into |
| 665 | // table |
| 666 | break; |
| 667 | case EXTERNAL_SERVICE_OPERATIONS: |
| 668 | List<String> externalServiceOperationFailureProbabilitiesTableRow = new ArrayList<String>( |
| 669 | externalServiceFailureProbabilitiesTableHeaderRow |
| 670 | .size()); // create new row |
| 671 | for (String entityNamePart : aggregation.getEntityNameParts()) { // add |
| 672 | // name |
| 673 | // parts |
| 674 | // to |
| 675 | // row; |
| 676 | // one |
| 677 | // column |
| 678 | // per |
| 679 | // name |
| 680 | // part |
| 681 | externalServiceOperationFailureProbabilitiesTableRow |
| 682 | .add(entityNamePart); |
| 683 | } |
| 684 | externalServiceOperationFailureProbabilitiesTableRow |
| 685 | .add(doApproximate ? getFormattedProbabilityAsString( |
| 686 | failureProbability, failureProbability + 1 |
| 687 | - cumulatedPhysicalStateProbability) |
| 688 | : getFormattedProbabilityAsString(failureProbability)); // also |
| 689 | // add |
| 690 | // failure |
| 691 | // probability |
| 692 | // to |
| 693 | // this |
| 694 | // row |
| 695 | externalServiceOperationFailureProbabilitiesTable |
| 696 | .addRow(externalServiceOperationFailureProbabilitiesTableRow); // insert |
| 697 | // row |
| 698 | // into |
| 699 | // table |
| 700 | break; |
| 701 | default: |
| 702 | break; |
| 703 | } |
| 704 | } |
| 705 | |
| 706 | /* |
| 707 | * Finally, add the tables to our report item if they contain at least |
| 708 | * one row (per table). |
| 709 | */ |
| 710 | if (componentsInternalActionFailureProbabilitiesTable.getRows().size() > 0) { |
| 711 | markovReportItem |
| 712 | .addImpactAnalysisTable(componentsInternalActionFailureProbabilitiesTable); |
| 713 | } |
| 714 | if (componentsServiceFailureProbabilitiesTable.getRows().size() > 0) { |
| 715 | markovReportItem |
| 716 | .addImpactAnalysisTable(componentsServiceFailureProbabilitiesTable); |
| 717 | } |
| 718 | if (componentsServiceOperationFailureProbabilitiesTable.getRows() |
| 719 | .size() > 0) { |
| 720 | markovReportItem |
| 721 | .addImpactAnalysisTable(componentsServiceOperationFailureProbabilitiesTable); |
| 722 | } |
| 723 | if (externalServiceFailureProbabilitiesTable.getRows().size() > 0) { |
| 724 | markovReportItem |
| 725 | .addImpactAnalysisTable(externalServiceFailureProbabilitiesTable); |
| 726 | } |
| 727 | if (externalServiceOperationFailureProbabilitiesTable.getRows().size() > 0) { |
| 728 | markovReportItem |
| 729 | .addImpactAnalysisTable(externalServiceOperationFailureProbabilitiesTable); |
| 730 | } |
| 731 | } |
| 732 | |
| 733 | /* |
| 734 | * Consider all Markov transformation results: For each such result we will |
| 735 | * calculate the probabilities of interest, and then enclose them in a |
| 736 | * MarkovResultItem for further processing. |
| 737 | */ |
| 738 | private void createMarkovReportItems() { |
| 739 | Map<MarkovFailureType, Double> cumulatedFailureTypeProbabilities = null; |
| 740 | double cumulatedPhysicalStateProbability = 0; |
| 741 | boolean doApproximate = false; |
| 742 | double cumulatedSuccessProbability = -1.0; // error value |
| 743 | |
| 744 | MarkovEvaluationType mode = MarkovEvaluationType.valueOf(configuration |
| 745 | .getMarkovEvaluationMode()); |
| 746 | |
| 747 | /* |
| 748 | * Create table-style output format. |
| 749 | */ |
| 750 | UsageScenario scenario = null; |
| 751 | MarkovReportItem markovReportItem = null; |
| 752 | for (MarkovTransformationResult markovResult : markovResults) { |
| 753 | scenario = markovResult.getScenario(); |
| 754 | cumulatedFailureTypeProbabilities = markovResult |
| 755 | .getCumulatedFailureTypeProbabilities(); |
| 756 | cumulatedPhysicalStateProbability = markovResult |
| 757 | .getCumulatedPhysicalStateProbability(); |
| 758 | cumulatedSuccessProbability = markovResult.getSuccessProbability(); |
| 759 | doApproximate = markovResult.isDoApproximate(); |
| 760 | |
| 761 | /* |
| 762 | * Create a new Markov report item using the data of this scenario. |
| 763 | */ |
| 764 | if (doApproximate) { |
| 765 | markovReportItem = new MarkovReportItem(scenario |
| 766 | .getEntityName(), scenario.getId(), |
| 767 | getFormattedProbabilityAsString( |
| 768 | cumulatedSuccessProbability, |
| 769 | cumulatedSuccessProbability + 1 |
| 770 | - cumulatedPhysicalStateProbability)); |
| 771 | } else { |
| 772 | markovReportItem = new MarkovReportItem( |
| 773 | scenario.getEntityName(), |
| 774 | scenario.getId(), |
| 775 | getFormattedProbabilityAsString(cumulatedSuccessProbability)); |
| 776 | } |
| 777 | |
| 778 | /* |
| 779 | * Create failure mode tables first: Create a table row for each |
| 780 | * failure probability aggregation, and add this row to the |
| 781 | * according impact analysis table. |
| 782 | */ |
| 783 | createFailureAnalysisTables(cumulatedFailureTypeProbabilities, |
| 784 | cumulatedPhysicalStateProbability, doApproximate, |
| 785 | markovReportItem, mode); |
| 786 | |
| 787 | /* |
| 788 | * Calculate accumulated failure probabilities if our configuration |
| 789 | * is set accordingly. Otherwise, we are done at this point. |
| 790 | */ |
| 791 | if (mode == MarkovEvaluationType.POINTSOFFAILURE) { |
| 792 | failureProbabilityAggregations = new ArrayList<ImpactAnalysisFailureProbabilityAggregation>(); // do |
| 793 | // not |
| 794 | // put |
| 795 | // this |
| 796 | // line |
| 797 | // into |
| 798 | // constructor |
| 799 | |
| 800 | calculateComponentsInternalActionFailureProbabilities(cumulatedFailureTypeProbabilities); |
| 801 | calculateComponentsServiceFailureProbabilities(cumulatedFailureTypeProbabilities); |
| 802 | calculateComponentsServiceOperationFailureProbabilities(cumulatedFailureTypeProbabilities); |
| 803 | calculateExternalServiceFailureProbabilities(cumulatedFailureTypeProbabilities); |
| 804 | calculateExternalServiceOperationFailureProbabilities(cumulatedFailureTypeProbabilities); |
| 805 | |
| 806 | /* |
| 807 | * Now, create impact analysis tables. Insert calculated failure |
| 808 | * probabilities into report. |
| 809 | */ |
| 810 | createImpactAnalysisTables(cumulatedPhysicalStateProbability, |
| 811 | doApproximate, markovReportItem); |
| 812 | } |
| 813 | |
| 814 | /* |
| 815 | * Add this report item to our list of report items. |
| 816 | */ |
| 817 | markovReportItems.add(markovReportItem); |
| 818 | } |
| 819 | } |
| 820 | |
| 821 | private void createPointsOfFailureAnalysisTable( |
| 822 | Map<MarkovFailureType, Double> cumulatedFailureTypeProbabilities, |
| 823 | double cumulatedPhysicalStateProbability, boolean doApproximate, |
| 824 | MarkovReportItem markovReportItem) { |
| 825 | /* |
| 826 | * System-internal entities. |
| 827 | */ |
| 828 | MarkovReportingTable internalSoftwareFailuresTable = new MarkovReportingTable( |
| 829 | "System-internal software-induced failure modes"); |
| 830 | List<String> internalSoftwareFailuresTableHeaderRow = new ArrayList<String>( |
| 831 | 6); |
| 832 | internalSoftwareFailuresTableHeaderRow.add("Component"); |
| 833 | internalSoftwareFailuresTableHeaderRow.add("Interface"); |
| 834 | internalSoftwareFailuresTableHeaderRow.add("Signature"); |
| 835 | internalSoftwareFailuresTableHeaderRow.add("Internal Action"); |
| 836 | internalSoftwareFailuresTableHeaderRow.add("Failure Type"); |
| 837 | internalSoftwareFailuresTableHeaderRow.add("Failure Mode Probability"); |
| 838 | internalSoftwareFailuresTable |
| 839 | .setHeaderRow(internalSoftwareFailuresTableHeaderRow); |
| 840 | List<String> internalSoftwareFailuresTableRow; |
| 841 | |
| 842 | MarkovReportingTable internalHardwareFailuresTable = new MarkovReportingTable( |
| 843 | "System-internal hardware-induced failure modes"); |
| 844 | List<String> internalHardwareFailuresTableHeaderRow = new ArrayList<String>( |
| 845 | 3); |
| 846 | internalHardwareFailuresTableHeaderRow.add("Resource Container"); |
| 847 | internalHardwareFailuresTableHeaderRow.add("Resource Type"); |
| 848 | internalHardwareFailuresTableHeaderRow.add("Failure Mode Probablity"); |
| 849 | internalHardwareFailuresTable |
| 850 | .setHeaderRow(internalHardwareFailuresTableHeaderRow); |
| 851 | List<String> internalHardwareFailuresTableRow; |
| 852 | |
| 853 | MarkovReportingTable internalNetworkFailuresTable = new MarkovReportingTable( |
| 854 | "System-internal network-induced failure modes"); |
| 855 | List<String> internalNetworkFailuresTableHeaderRow = new ArrayList<String>( |
| 856 | 3); |
| 857 | internalNetworkFailuresTableHeaderRow.add("Communication Link"); |
| 858 | internalNetworkFailuresTableHeaderRow |
| 859 | .add("Communication Resource Type"); |
| 860 | internalNetworkFailuresTableHeaderRow.add("Failure Mode Probablity"); |
| 861 | internalNetworkFailuresTable |
| 862 | .setHeaderRow(internalNetworkFailuresTableHeaderRow); |
| 863 | List<String> internalNetworkFailuresTableRow; |
| 864 | |
| 865 | /* |
| 866 | * System-external entities. |
| 867 | */ |
| 868 | MarkovReportingTable externalSoftwareFailuresTable = new MarkovReportingTable( |
| 869 | "System-external software-induced failure modes"); |
| 870 | List<String> externalSoftwareFailuresTableHeaderRow = new ArrayList<String>( |
| 871 | 4); |
| 872 | externalSoftwareFailuresTableHeaderRow.add("System-required Role"); |
| 873 | externalSoftwareFailuresTableHeaderRow.add("Signature"); |
| 874 | externalSoftwareFailuresTableHeaderRow.add("Failure Type"); |
| 875 | externalSoftwareFailuresTableHeaderRow.add("Failure Mode Probability"); |
| 876 | externalSoftwareFailuresTable |
| 877 | .setHeaderRow(externalSoftwareFailuresTableHeaderRow); |
| 878 | List<String> externalSoftwareFailuresTableRow; |
| 879 | |
| 880 | MarkovReportingTable externalHardwareFailuresTable = new MarkovReportingTable( |
| 881 | "System-external hardware-induced failure modes"); |
| 882 | List<String> externalHardwareFailuresTableHeaderRow = new ArrayList<String>( |
| 883 | 4); |
| 884 | externalHardwareFailuresTableHeaderRow.add("System-required Role"); |
| 885 | externalHardwareFailuresTableHeaderRow.add("Signature"); |
| 886 | externalHardwareFailuresTableHeaderRow |
| 887 | .add("Communication Resource Type"); |
| 888 | externalHardwareFailuresTableHeaderRow.add("Failure Mode Probablity"); |
| 889 | externalHardwareFailuresTable |
| 890 | .setHeaderRow(externalHardwareFailuresTableHeaderRow); |
| 891 | List<String> externalHardwareFailuresTableRow; |
| 892 | |
| 893 | MarkovReportingTable externalNetworkFailuresTable = new MarkovReportingTable( |
| 894 | "System-external network-induced failure modes"); |
| 895 | List<String> externalNetworkFailuresTableHeaderRow = new ArrayList<String>( |
| 896 | 4); |
| 897 | externalNetworkFailuresTableHeaderRow.add("System-required Role"); |
| 898 | externalNetworkFailuresTableHeaderRow.add("Signature"); |
| 899 | externalNetworkFailuresTableHeaderRow |
| 900 | .add("Communication Resource Type"); |
| 901 | externalNetworkFailuresTableHeaderRow.add("Failure Mode Probablity"); |
| 902 | externalNetworkFailuresTable |
| 903 | .setHeaderRow(externalNetworkFailuresTableHeaderRow); |
| 904 | List<String> externalNetworkFailuresTableRow; |
| 905 | |
| 906 | TreeSet<MarkovFailureType> failureTypesSorted = getFailureTypesSorted(cumulatedFailureTypeProbabilities); |
| 907 | for (MarkovFailureType failureType : failureTypesSorted) { |
| 908 | double failureProbability = getFailureTypeProbability(failureType, |
| 909 | cumulatedFailureTypeProbabilities); |
| 910 | if (!(failureProbability > 0.0)) { |
| 911 | continue; |
| 912 | } |
| 913 | if (failureType.isSystemExternal()) { // external |
| 914 | if (failureType instanceof MarkovSoftwareInducedFailureType) { |
| 915 | MarkovSoftwareInducedFailureType softwareInducedFailureType = (MarkovSoftwareInducedFailureType) failureType; |
| 916 | |
| 917 | externalSoftwareFailuresTableRow = new ArrayList<String>( |
| 918 | externalSoftwareFailuresTableHeaderRow.size()); |
| 919 | externalSoftwareFailuresTableRow |
| 920 | .add(softwareInducedFailureType.getRoleName()); |
| 921 | externalSoftwareFailuresTableRow |
| 922 | .add(softwareInducedFailureType.getSignatureName()); |
| 923 | externalSoftwareFailuresTableRow |
| 924 | .add(softwareInducedFailureType |
| 925 | .getSoftwareFailureName()); |
| 926 | externalSoftwareFailuresTableRow |
| 927 | .add(doApproximate ? getFormattedProbabilityAsString( |
| 928 | getFailureTypeProbability( |
| 929 | softwareInducedFailureType, |
| 930 | cumulatedFailureTypeProbabilities), |
| 931 | /* |
| 932 | * getFailureTypeProbability( |
| 933 | * softwareInducedFailureType, |
| 934 | * cumulatedFailureTypeProbabilities) |
| 935 | */ |
| 936 | failureProbability + 1 |
| 937 | - cumulatedPhysicalStateProbability) |
| 938 | : getFormattedProbabilityAsString(/* |
| 939 | * getFailureTypeProbability( |
| 940 | * softwareInducedFailureType |
| 941 | * , |
| 942 | * cumulatedFailureTypeProbabilities |
| 943 | * ) |
| 944 | */ |
| 945 | failureProbability)); |
| 946 | externalSoftwareFailuresTable |
| 947 | .addRow(externalSoftwareFailuresTableRow); |
| 948 | } else if (failureType instanceof MarkovHardwareInducedFailureType) { |
| 949 | MarkovHardwareInducedFailureType hardwareInducedFailureType = (MarkovHardwareInducedFailureType) failureType; |
| 950 | externalHardwareFailuresTableRow = new ArrayList<String>( |
| 951 | externalHardwareFailuresTableHeaderRow.size()); |
| 952 | externalHardwareFailuresTableRow |
| 953 | .add(hardwareInducedFailureType.getRoleName()); |
| 954 | externalHardwareFailuresTableRow |
| 955 | .add(hardwareInducedFailureType.getSignatureName()); |
| 956 | externalHardwareFailuresTableRow |
| 957 | .add(hardwareInducedFailureType |
| 958 | .getResourceTypeName()); |
| 959 | externalHardwareFailuresTableRow |
| 960 | .add(doApproximate ? getFormattedProbabilityAsString( |
| 961 | /* |
| 962 | * getFailureTypeProbability( |
| 963 | * hardwareInducedFailureType, |
| 964 | * cumulatedFailureTypeProbabilities) |
| 965 | */ |
| 966 | failureProbability, |
| 967 | /* |
| 968 | * getFailureTypeProbability( |
| 969 | * hardwareInducedFailureType, |
| 970 | * cumulatedFailureTypeProbabilities) |
| 971 | */ |
| 972 | failureProbability + 1 |
| 973 | - cumulatedPhysicalStateProbability) |
| 974 | : getFormattedProbabilityAsString(/* |
| 975 | * getFailureTypeProbability( |
| 976 | * hardwareInducedFailureType |
| 977 | * , |
| 978 | * cumulatedFailureTypeProbabilities |
| 979 | * ) |
| 980 | */ |
| 981 | failureProbability)); |
| 982 | externalHardwareFailuresTable |
| 983 | .addRow(externalHardwareFailuresTableRow); |
| 984 | } else if (failureType instanceof MarkovNetworkInducedFailureType) { |
| 985 | MarkovNetworkInducedFailureType networkInducedFailureType = (MarkovNetworkInducedFailureType) failureType; |
| 986 | externalNetworkFailuresTableRow = new ArrayList<String>( |
| 987 | externalNetworkFailuresTableHeaderRow.size()); |
| 988 | externalNetworkFailuresTableRow |
| 989 | .add(networkInducedFailureType.getRoleName()); |
| 990 | externalNetworkFailuresTableRow |
| 991 | .add(networkInducedFailureType.getSignatureName()); |
| 992 | externalNetworkFailuresTableRow |
| 993 | .add(networkInducedFailureType |
| 994 | .getCommLinkResourceTypeName()); |
| 995 | externalNetworkFailuresTableRow |
| 996 | .add(doApproximate ? getFormattedProbabilityAsString( |
| 997 | /* |
| 998 | * getFailureTypeProbability( |
| 999 | * networkInducedFailureType, |
| 1000 | * cumulatedFailureTypeProbabilities) |
| 1001 | */ |
| 1002 | failureProbability, |
| 1003 | /* |
| 1004 | * getFailureTypeProbability( |
| 1005 | * networkInducedFailureType, |
| 1006 | * cumulatedFailureTypeProbabilities) |
| 1007 | */ |
| 1008 | failureProbability + 1 |
| 1009 | - cumulatedPhysicalStateProbability) |
| 1010 | : getFormattedProbabilityAsString(/* |
| 1011 | * getFailureTypeProbability( |
| 1012 | * networkInducedFailureType |
| 1013 | * , |
| 1014 | * cumulatedFailureTypeProbabilities |
| 1015 | * ) |
| 1016 | */ |
| 1017 | failureProbability)); |
| 1018 | externalNetworkFailuresTable |
| 1019 | .addRow(externalNetworkFailuresTableRow); |
| 1020 | } |
| 1021 | } else { // internal |
| 1022 | if (failureType instanceof MarkovSoftwareInducedFailureType) { |
| 1023 | MarkovSoftwareInducedFailureType softwareInducedFailureType = (MarkovSoftwareInducedFailureType) failureType; |
| 1024 | internalSoftwareFailuresTableRow = new ArrayList<String>( |
| 1025 | internalSoftwareFailuresTableHeaderRow.size()); |
| 1026 | internalSoftwareFailuresTableRow |
| 1027 | .add(softwareInducedFailureType.getComponentName()); |
| 1028 | internalSoftwareFailuresTableRow |
| 1029 | .add(softwareInducedFailureType.getInterfaceName()); |
| 1030 | internalSoftwareFailuresTableRow |
| 1031 | .add(softwareInducedFailureType.getSignatureName()); |
| 1032 | internalSoftwareFailuresTableRow |
| 1033 | .add(softwareInducedFailureType |
| 1034 | .getInternalActionName()); |
| 1035 | internalSoftwareFailuresTableRow |
| 1036 | .add(softwareInducedFailureType |
| 1037 | .getSoftwareFailureName()); |
| 1038 | internalSoftwareFailuresTableRow |
| 1039 | .add(doApproximate ? getFormattedProbabilityAsString( |
| 1040 | /* |
| 1041 | * getFailureTypeProbability( |
| 1042 | * softwareInducedFailureType, |
| 1043 | * cumulatedFailureTypeProbabilities) |
| 1044 | */ |
| 1045 | failureProbability, |
| 1046 | /* |
| 1047 | * getFailureTypeProbability( |
| 1048 | * softwareInducedFailureType, |
| 1049 | * cumulatedFailureTypeProbabilities) |
| 1050 | */ |
| 1051 | failureProbability + 1 |
| 1052 | - cumulatedPhysicalStateProbability) |
| 1053 | : getFormattedProbabilityAsString(/* |
| 1054 | * getFailureTypeProbability( |
| 1055 | * softwareInducedFailureType |
| 1056 | * , |
| 1057 | * cumulatedFailureTypeProbabilities |
| 1058 | * ) |
| 1059 | */ |
| 1060 | failureProbability)); |
| 1061 | internalSoftwareFailuresTable |
| 1062 | .addRow(internalSoftwareFailuresTableRow); |
| 1063 | } else if (failureType instanceof MarkovHardwareInducedFailureType) { |
| 1064 | MarkovHardwareInducedFailureType hardwareInducedFailureType = (MarkovHardwareInducedFailureType) failureType; |
| 1065 | internalHardwareFailuresTableRow = new ArrayList<String>( |
| 1066 | internalHardwareFailuresTableHeaderRow.size()); |
| 1067 | internalHardwareFailuresTableRow |
| 1068 | .add(hardwareInducedFailureType |
| 1069 | .getResourceContainerName()); |
| 1070 | internalHardwareFailuresTableRow |
| 1071 | .add(hardwareInducedFailureType |
| 1072 | .getResourceTypeName()); |
| 1073 | internalHardwareFailuresTableRow |
| 1074 | .add(doApproximate ? getFormattedProbabilityAsString( |
| 1075 | /* |
| 1076 | * getFailureTypeProbability( |
| 1077 | * hardwareInducedFailureType, |
| 1078 | * cumulatedFailureTypeProbabilities) |
| 1079 | */ |
| 1080 | failureProbability, |
| 1081 | /* |
| 1082 | * getFailureTypeProbability( |
| 1083 | * hardwareInducedFailureType, |
| 1084 | * cumulatedFailureTypeProbabilities) |
| 1085 | */ |
| 1086 | failureProbability + 1 |
| 1087 | - cumulatedPhysicalStateProbability) |
| 1088 | : getFormattedProbabilityAsString(/* |
| 1089 | * getFailureTypeProbability( |
| 1090 | * hardwareInducedFailureType |
| 1091 | * , |
| 1092 | * cumulatedFailureTypeProbabilities |
| 1093 | * ) |
| 1094 | */ |
| 1095 | failureProbability)); |
| 1096 | internalHardwareFailuresTable |
| 1097 | .addRow(internalHardwareFailuresTableRow); |
| 1098 | } else if (failureType instanceof MarkovNetworkInducedFailureType) { |
| 1099 | MarkovNetworkInducedFailureType networkInducedFailureType = (MarkovNetworkInducedFailureType) failureType; |
| 1100 | internalNetworkFailuresTableRow = new ArrayList<String>( |
| 1101 | internalNetworkFailuresTableHeaderRow.size()); |
| 1102 | internalNetworkFailuresTableRow |
| 1103 | .add(networkInducedFailureType |
| 1104 | .getLinkingResourceName()); |
| 1105 | internalNetworkFailuresTableRow |
| 1106 | .add(networkInducedFailureType |
| 1107 | .getCommLinkResourceTypeName()); |
| 1108 | internalNetworkFailuresTableRow |
| 1109 | .add(doApproximate ? getFormattedProbabilityAsString( |
| 1110 | /* |
| 1111 | * getFailureTypeProbability( |
| 1112 | * networkInducedFailureType, |
| 1113 | * cumulatedFailureTypeProbabilities) |
| 1114 | */ |
| 1115 | failureProbability, |
| 1116 | /* |
| 1117 | * getFailureTypeProbability( |
| 1118 | * networkInducedFailureType, |
| 1119 | * cumulatedFailureTypeProbabilities) |
| 1120 | */ |
| 1121 | failureProbability + 1 |
| 1122 | - cumulatedPhysicalStateProbability) |
| 1123 | : getFormattedProbabilityAsString(/* |
| 1124 | * getFailureTypeProbability( |
| 1125 | * networkInducedFailureType |
| 1126 | * , |
| 1127 | * cumulatedFailureTypeProbabilities |
| 1128 | * ) |
| 1129 | */ |
| 1130 | failureProbability)); |
| 1131 | internalNetworkFailuresTable |
| 1132 | .addRow(internalNetworkFailuresTableRow); |
| 1133 | } |
| 1134 | } |
| 1135 | } |
| 1136 | |
| 1137 | /* |
| 1138 | * Finally, add the generated failure mode tables to our report item if |
| 1139 | * they contain at least one row (per table). |
| 1140 | */ |
| 1141 | if (internalSoftwareFailuresTable.getRows().size() > 0) { |
| 1142 | markovReportItem.addFailureModeTable(internalSoftwareFailuresTable); |
| 1143 | } |
| 1144 | if (internalHardwareFailuresTable.getRows().size() > 0) { |
| 1145 | markovReportItem.addFailureModeTable(internalHardwareFailuresTable); |
| 1146 | } |
| 1147 | if (internalNetworkFailuresTable.getRows().size() > 0) { |
| 1148 | markovReportItem.addFailureModeTable(internalNetworkFailuresTable); |
| 1149 | } |
| 1150 | if (externalSoftwareFailuresTable.getRows().size() > 0) { |
| 1151 | markovReportItem.addFailureModeTable(externalSoftwareFailuresTable); |
| 1152 | } |
| 1153 | if (externalHardwareFailuresTable.getRows().size() > 0) { |
| 1154 | markovReportItem.addFailureModeTable(externalHardwareFailuresTable); |
| 1155 | } |
| 1156 | if (externalNetworkFailuresTable.getRows().size() > 0) { |
| 1157 | markovReportItem.addFailureModeTable(externalNetworkFailuresTable); |
| 1158 | } |
| 1159 | } |
| 1160 | |
| 1161 | private void createTypesFailureAnalysisTable( |
| 1162 | Map<MarkovFailureType, Double> cumulatedFailureTypeProbabilities, |
| 1163 | double cumulatedPhysicalStateProbability, boolean doApproximate, |
| 1164 | MarkovReportItem markovReportItem) { |
| 1165 | double failureProbability; |
| 1166 | // create tables |
| 1167 | MarkovReportingTable softwareInducedFailuresTable = new MarkovReportingTable( |
| 1168 | "Software-induced failure modes"); |
| 1169 | List<String> softwareInducedFailuresTableHeaderRow = new ArrayList<String>( |
| 1170 | 2); |
| 1171 | softwareInducedFailuresTableHeaderRow.add("Failure Type"); |
| 1172 | softwareInducedFailuresTableHeaderRow.add("Failure Mode Probability"); |
| 1173 | softwareInducedFailuresTable |
| 1174 | .setHeaderRow(softwareInducedFailuresTableHeaderRow); |
| 1175 | |
| 1176 | MarkovReportingTable hardwareInducedFailuresTable = new MarkovReportingTable( |
| 1177 | "Hardware-induced failure modes"); |
| 1178 | List<String> hardwareInducedFailuresTableHeaderRow = new ArrayList<String>( |
| 1179 | 2); |
| 1180 | hardwareInducedFailuresTableHeaderRow.add("Resource Type"); |
| 1181 | hardwareInducedFailuresTableHeaderRow.add("Failure Mode Probability"); |
| 1182 | hardwareInducedFailuresTable |
| 1183 | .setHeaderRow(hardwareInducedFailuresTableHeaderRow); |
| 1184 | |
| 1185 | MarkovReportingTable networkInducedFailuresTable = new MarkovReportingTable( |
| 1186 | "Network-induced failure modes"); |
| 1187 | List<String> networkInducedFailuresTableHeaderRow = new ArrayList<String>( |
| 1188 | 2); |
| 1189 | networkInducedFailuresTableHeaderRow.add("Communication Resource Type"); |
| 1190 | networkInducedFailuresTableHeaderRow.add("Failure Mode Probability"); |
| 1191 | networkInducedFailuresTable |
| 1192 | .setHeaderRow(networkInducedFailuresTableHeaderRow); |
| 1193 | |
| 1194 | // determine failure probabilities |
| 1195 | List<TypesFailureProbabilityAggregation> failureProbabilityAggregations = new ArrayList<TypesFailureProbabilityAggregation>(); |
| 1196 | for (MarkovFailureType type : cumulatedFailureTypeProbabilities |
| 1197 | .keySet()) { |
| 1198 | if (!type.isSystemExternal()) { // only consider internal failures |
| 1199 | if (type instanceof MarkovSoftwareInducedFailureType) { // only |
| 1200 | // consider |
| 1201 | // software-induced |
| 1202 | // failures |
| 1203 | MarkovSoftwareInducedFailureType softwareInducedFailureType = (MarkovSoftwareInducedFailureType) type; |
| 1204 | boolean foundEntry = false; |
| 1205 | for (TypesFailureProbabilityAggregation aggregation : failureProbabilityAggregations) { |
| 1206 | if (aggregation.compareTo( |
| 1207 | FailureAnalysisFailureType.SOFTWARE_INDUCED, |
| 1208 | softwareInducedFailureType |
| 1209 | .getSoftwareFailureName())) { // see if |
| 1210 | // there |
| 1211 | // exists |
| 1212 | // already |
| 1213 | // a |
| 1214 | // fitting |
| 1215 | // aggregation |
| 1216 | // to |
| 1217 | // which |
| 1218 | // can |
| 1219 | // add |
| 1220 | // this |
| 1221 | // type's |
| 1222 | // failure |
| 1223 | // probability |
| 1224 | // to |
| 1225 | // yes, we found such an entry, so add up the |
| 1226 | // probabilities |
| 1227 | aggregation |
| 1228 | .addToFailureProbability(cumulatedFailureTypeProbabilities |
| 1229 | .get(softwareInducedFailureType)); |
| 1230 | foundEntry = true; |
| 1231 | break; |
| 1232 | } // else continue with next |
| 1233 | } |
| 1234 | // we have not found a fitting entry previously, so we will |
| 1235 | // create a new one |
| 1236 | if (!foundEntry) { |
| 1237 | failureProbabilityAggregations |
| 1238 | .add(new TypesFailureProbabilityAggregation( |
| 1239 | FailureAnalysisFailureType.SOFTWARE_INDUCED, |
| 1240 | softwareInducedFailureType |
| 1241 | .getSoftwareFailureName(), |
| 1242 | cumulatedFailureTypeProbabilities |
| 1243 | .get(softwareInducedFailureType))); |
| 1244 | } |
| 1245 | } else if (type instanceof MarkovHardwareInducedFailureType) { // only |
| 1246 | // consider |
| 1247 | // hardware-induced |
| 1248 | // failures |
| 1249 | MarkovHardwareInducedFailureType hardwareInducedFailureType = (MarkovHardwareInducedFailureType) type; |
| 1250 | boolean foundEntry = false; |
| 1251 | for (TypesFailureProbabilityAggregation aggregation : failureProbabilityAggregations) { |
| 1252 | if (aggregation.compareTo( |
| 1253 | FailureAnalysisFailureType.HARDWARE_INDUCED, |
| 1254 | hardwareInducedFailureType |
| 1255 | .getResourceTypeName())) { // see if |
| 1256 | // there |
| 1257 | // exists |
| 1258 | // already a |
| 1259 | // fitting |
| 1260 | // aggregation |
| 1261 | // to which |
| 1262 | // can add |
| 1263 | // this |
| 1264 | // type's |
| 1265 | // failure |
| 1266 | // probability |
| 1267 | // to |
| 1268 | // yes, we found such an entry, so add up the |
| 1269 | // probabilities |
| 1270 | aggregation |
| 1271 | .addToFailureProbability(cumulatedFailureTypeProbabilities |
| 1272 | .get(hardwareInducedFailureType)); |
| 1273 | foundEntry = true; |
| 1274 | break; |
| 1275 | } // else continue with next |
| 1276 | } |
| 1277 | if (!foundEntry) { |
| 1278 | // we have not found a fitting entry previously, so we |
| 1279 | // will create a new one |
| 1280 | failureProbabilityAggregations |
| 1281 | .add(new TypesFailureProbabilityAggregation( |
| 1282 | FailureAnalysisFailureType.HARDWARE_INDUCED, |
| 1283 | hardwareInducedFailureType |
| 1284 | .getResourceTypeName(), |
| 1285 | cumulatedFailureTypeProbabilities |
| 1286 | .get(hardwareInducedFailureType))); |
| 1287 | } |
| 1288 | } else if (type instanceof MarkovNetworkInducedFailureType) { // only |
| 1289 | // consider |
| 1290 | // network-induced |
| 1291 | // failures |
| 1292 | MarkovNetworkInducedFailureType networkInducedFailureType = (MarkovNetworkInducedFailureType) type; |
| 1293 | boolean foundEntry = false; |
| 1294 | for (TypesFailureProbabilityAggregation aggregation : failureProbabilityAggregations) { |
| 1295 | if (aggregation.compareTo( |
| 1296 | FailureAnalysisFailureType.NETWORK_INDUCED, |
| 1297 | networkInducedFailureType |
| 1298 | .getCommLinkResourceTypeName())) { // see |
| 1299 | // if |
| 1300 | // there |
| 1301 | // exists |
| 1302 | // already |
| 1303 | // a |
| 1304 | // fitting |
| 1305 | // aggregation |
| 1306 | // to |
| 1307 | // which |
| 1308 | // can |
| 1309 | // add |
| 1310 | // this |
| 1311 | // type's |
| 1312 | // failure |
| 1313 | // probability |
| 1314 | // to |
| 1315 | // yes, we found such an entry, so add up the |
| 1316 | // probabilities |
| 1317 | aggregation |
| 1318 | .addToFailureProbability(cumulatedFailureTypeProbabilities |
| 1319 | .get(networkInducedFailureType)); |
| 1320 | foundEntry = true; |
| 1321 | break; |
| 1322 | } // else continue with next |
| 1323 | } |
| 1324 | if (!foundEntry) { |
| 1325 | // we have not found a fitting entry previously, so we |
| 1326 | // will create a new one |
| 1327 | failureProbabilityAggregations |
| 1328 | .add(new TypesFailureProbabilityAggregation( |
| 1329 | FailureAnalysisFailureType.NETWORK_INDUCED, |
| 1330 | networkInducedFailureType |
| 1331 | .getCommLinkResourceTypeName(), |
| 1332 | cumulatedFailureTypeProbabilities |
| 1333 | .get(networkInducedFailureType))); |
| 1334 | } |
| 1335 | } |
| 1336 | } |
| 1337 | } |
| 1338 | |
| 1339 | // now create rows of table |
| 1340 | List<String> softwareInducedFailuresTableRow; |
| 1341 | List<String> hardwareInducedFailuresTableRow; |
| 1342 | List<String> networkInducedFailuresTableRow; |
| 1343 | for (TypesFailureProbabilityAggregation aggregation : failureProbabilityAggregations) { |
| 1344 | failureProbability = aggregation.getFailureProbability(); |
| 1345 | if (!(failureProbability > 0.0)) { |
| 1346 | continue; |
| 1347 | } |
| 1348 | switch (aggregation.getType()) { |
| 1349 | case SOFTWARE_INDUCED: |
| 1350 | softwareInducedFailuresTableRow = new ArrayList<String>(2); |
| 1351 | softwareInducedFailuresTableRow.add(aggregation |
| 1352 | .getTypeIdentifier()); |
| 1353 | softwareInducedFailuresTableRow |
| 1354 | .add(String |
| 1355 | .valueOf(doApproximate ? getFormattedProbabilityAsString( |
| 1356 | failureProbability, |
| 1357 | failureProbability |
| 1358 | + 1 |
| 1359 | - cumulatedPhysicalStateProbability) |
| 1360 | : getFormattedProbabilityAsString(failureProbability))); |
| 1361 | softwareInducedFailuresTable |
| 1362 | .addRow(softwareInducedFailuresTableRow); |
| 1363 | break; |
| 1364 | case HARDWARE_INDUCED: |
| 1365 | hardwareInducedFailuresTableRow = new ArrayList<String>(2); |
| 1366 | hardwareInducedFailuresTableRow.add(aggregation |
| 1367 | .getTypeIdentifier()); |
| 1368 | hardwareInducedFailuresTableRow |
| 1369 | .add(String |
| 1370 | .valueOf(doApproximate ? getFormattedProbabilityAsString( |
| 1371 | failureProbability, |
| 1372 | failureProbability |
| 1373 | + 1 |
| 1374 | - cumulatedPhysicalStateProbability) |
| 1375 | : getFormattedProbabilityAsString(failureProbability))); |
| 1376 | hardwareInducedFailuresTable |
| 1377 | .addRow(hardwareInducedFailuresTableRow); |
| 1378 | break; |
| 1379 | case NETWORK_INDUCED: |
| 1380 | networkInducedFailuresTableRow = new ArrayList<String>(2); |
| 1381 | networkInducedFailuresTableRow.add(aggregation |
| 1382 | .getTypeIdentifier()); |
| 1383 | networkInducedFailuresTableRow |
| 1384 | .add(String |
| 1385 | .valueOf(doApproximate ? getFormattedProbabilityAsString( |
| 1386 | failureProbability, |
| 1387 | failureProbability |
| 1388 | + 1 |
| 1389 | - cumulatedPhysicalStateProbability) |
| 1390 | : getFormattedProbabilityAsString(failureProbability))); |
| 1391 | networkInducedFailuresTable |
| 1392 | .addRow(networkInducedFailuresTableRow); |
| 1393 | break; |
| 1394 | default: |
| 1395 | break; |
| 1396 | } |
| 1397 | } |
| 1398 | |
| 1399 | // finally, add tables to report item if they contain at least one row |
| 1400 | // (per table) |
| 1401 | if (softwareInducedFailuresTable.getRows().size() > 0) { |
| 1402 | markovReportItem.addFailureModeTable(softwareInducedFailuresTable); |
| 1403 | } |
| 1404 | if (hardwareInducedFailuresTable.getRows().size() > 0) { |
| 1405 | markovReportItem.addFailureModeTable(hardwareInducedFailuresTable); |
| 1406 | } |
| 1407 | if (networkInducedFailuresTable.getRows().size() > 0) { |
| 1408 | markovReportItem.addFailureModeTable(networkInducedFailuresTable); |
| 1409 | } |
| 1410 | } |
| 1411 | |
| 1412 | /** |
| 1413 | * Retrieves the failure probability of the given failure type. |
| 1414 | * |
| 1415 | * @param failureType |
| 1416 | * the given failure type |
| 1417 | * @return the failure probability |
| 1418 | */ |
| 1419 | private double getFailureTypeProbability( |
| 1420 | final MarkovFailureType failureType, |
| 1421 | Map<MarkovFailureType, Double> cumulatedFailureTypeProbabilities) { |
| 1422 | Double failureTypeProbability = cumulatedFailureTypeProbabilities |
| 1423 | .get(failureType); |
| 1424 | return (failureTypeProbability == null) ? 0.0 : failureTypeProbability; |
| 1425 | } |
| 1426 | |
| 1427 | /** |
| 1428 | * Sorts the failure types alphabetically by name. |
| 1429 | * |
| 1430 | * @return the sorted list of failure types |
| 1431 | */ |
| 1432 | private TreeSet<MarkovFailureType> getFailureTypesSorted( |
| 1433 | Map<MarkovFailureType, Double> cumulatedFailureTypeProbabilities) { |
| 1434 | TreeSet<MarkovFailureType> result = new TreeSet<MarkovFailureType>(); |
| 1435 | for (MarkovFailureType failureType : cumulatedFailureTypeProbabilities |
| 1436 | .keySet()) { |
| 1437 | result.add(failureType); |
| 1438 | } |
| 1439 | return result; |
| 1440 | } |
| 1441 | |
| 1442 | private String getFormattedProbabilityAsString(double probability) { |
| 1443 | return String.format("%1$.11f", probability); |
| 1444 | } |
| 1445 | |
| 1446 | private String getFormattedProbabilityAsString(double lowerBound, |
| 1447 | double upperBound) { |
| 1448 | MarkovResultApproximation approximation = new MarkovResultApproximation( |
| 1449 | lowerBound, upperBound); |
| 1450 | int places = approximation.getAccuracy() + 1; |
| 1451 | return String.format("%1$." + places + "f - %2$." + places + "f", |
| 1452 | approximation.getAdjustedLowerBound(), approximation |
| 1453 | .getAdjustedUpperBound()); |
| 1454 | } |
| 1455 | |
| 1456 | /** |
| 1457 | * Returns a list of Markov report items that were generated from the Markov |
| 1458 | * transformation results. |
| 1459 | * |
| 1460 | * @return a list of Markov report items |
| 1461 | */ |
| 1462 | public List<MarkovReportItem> getMarkovReportItems() { |
| 1463 | return markovReportItems; |
| 1464 | } |
| 1465 | } |