Program: 21553
Project: 21553
Buggy source:
public static void demo() throws ExceptionHugin, IOException {
  String file="String_Node_Str";
  DataBase data=new DynamicDataOnDiskFromFile(new ARFFDataReader(file));
  System.out.println("String_Node_Str");
  data.getAttributes().getList().stream().forEach(a -> System.out.println(a.getName()));
  DynamicNaiveBayesClassifier model=new DynamicNaiveBayesClassifier();
  model.setClassVarID(data.getAttributes().getNumberOfAttributes() - 3);
  model.setParallelMode(true);
  model.learn(data);
  DynamicBayesianNetwork amidstDBN=model.getDynamicBNModel();
  Random rand=new Random(0);
  amidstDBN.getDistributionsTime0().forEach(w -> w.randomInitialization(rand));
  System.out.println(amidstDBN.toString());
  Class huginDBN=DBNConverterToHugin.convertToHugin(amidstDBN);
  String nameModel="String_Node_Str";
  huginDBN.setName(nameModel);
  String outFile=new String("String_Node_Str" + nameModel + "String_Node_Str");
  huginDBN.saveAsNet(outFile);
  System.out.println("String_Node_Str" + outFile + "String_Node_Str"+ "String_Node_Str");
  int timeWindow=5;
  Domain domainObject=huginDBN.createDBNDomain(timeWindow);
  nameModel="String_Node_Str";
  huginDBN.setName(nameModel);
  outFile=new String("String_Node_Str" + nameModel + "String_Node_Str");
  domainObject.saveAsNet(outFile);
  System.out.println("String_Node_Str");
  domainObject.triangulateDBN(Domain.H_TM_TOTAL_WEIGHT);
  domainObject.compile();
  InferenceDemo.printBeliefs(domainObject);
  domainObject.uncompile();
  Iterator<DataInstance> iterator=data.iterator();
  for (int i=0; i <= timeWindow && iterator.hasNext(); i++) {
    DataInstance dataInstance=iterator.next();
    System.out.println(dataInstance.getTimeID() + "String_Node_Str" + dataInstance.getSequenceID());
    for (    Variable var : amidstDBN.getDynamicVariables().getListOfDynamicVariables()) {
      if ((var.getName().compareTo("String_Node_Str") != 0)) {
        LabelledDCNode node=(LabelledDCNode)domainObject.getNodeByName("String_Node_Str" + i + "String_Node_Str"+ var.getName());
        node.selectState((long)dataInstance.getValue(var));
      }
    }
  }
  System.out.println("String_Node_Str");
  System.out.println("String_Node_Str");
  domainObject.triangulateDBN(Domain.H_TM_TOTAL_WEIGHT);
  domainObject.compile();
  InferenceDemo.printBeliefs(domainObject);
}

Fixed version (ground truth):
public static void demo() throws ExceptionHugin, IOException {
  String file="String_Node_Str";
  DataBase data=new DynamicDataOnDiskFromFile(new ARFFDataReader(file));
  System.out.println("String_Node_Str");
  data.getAttributes().getList().stream().forEach(a -> System.out.println(a.getName()));
  DynamicNaiveBayesClassifier model=new DynamicNaiveBayesClassifier();
  model.setClassVarID(data.getAttributes().getNumberOfAttributes() - 3);
  model.setParallelMode(true);
  model.learn(data);
  DynamicBayesianNetwork amidstDBN=model.getDynamicBNModel();
  Random rand=new Random(0);
  amidstDBN.getDistributionsTime0().forEach(w -> w.randomInitialization(rand));
  System.out.println(amidstDBN.toString());
  Class huginDBN=DBNConverterToHugin.convertToHugin(amidstDBN);
  String nameModel="String_Node_Str";
  huginDBN.setName(nameModel);
  String outFile=new String("String_Node_Str" + nameModel + "String_Node_Str");
  huginDBN.saveAsNet(outFile);
  System.out.println("String_Node_Str" + outFile + "String_Node_Str"+ "String_Node_Str");
  int timeWindow=5;
  Domain domainObject=huginDBN.createDBNDomain(timeWindow);
  nameModel="String_Node_Str";
  huginDBN.setName(nameModel);
  outFile=new String("String_Node_Str" + nameModel + "String_Node_Str");
  domainObject.saveAsNet(outFile);
  System.out.println("String_Node_Str");
  domainObject.triangulateDBN(Domain.H_TM_TOTAL_WEIGHT);
  domainObject.compile();
  InferenceDemo.printBeliefs(domainObject);
  domainObject.uncompile();
  Iterator<DataInstance> iterator=data.iterator();
  for (int i=0; i <= timeWindow && iterator.hasNext(); i++) {
    DataInstance dataInstance=iterator.next();
    System.out.println(dataInstance.getTimeID() + "String_Node_Str" + dataInstance.getSequenceID());
    for (    Variable var : amidstDBN.getDynamicVariables().getListOfDynamicVariables()) {
      if ((var.getVarID() != model.getClassVarID())) {
        LabelledDCNode node=(LabelledDCNode)domainObject.getNodeByName("String_Node_Str" + i + "String_Node_Str"+ var.getName());
        node.selectState((long)dataInstance.getValue(var));
      }
    }
  }
  System.out.println("String_Node_Str");
  System.out.println("String_Node_Str");
  domainObject.triangulateDBN(Domain.H_TM_TOTAL_WEIGHT);
  domainObject.compile();
  InferenceDemo.printBeliefs(domainObject);
}