Program: 7450
Project: 7450
Buggy source:
/** 
 * Build the instance of   {@link BasicSparkContext}.
 * @param runId            program run id
 * @param logicalStartTime The logical start time of the job.
 * @param workflowBatch    Tells whether the batch job is started by workflow.
 * @param runtimeArguments the runtime arguments
 * @param tx               transaction to use
 * @param classLoader      classloader to use
 * @param programLocation  program location
 * @return instance of {@link BasicMapReduceContext}
 */
public BasicSparkContext build(String runId,long logicalStartTime,String workflowBatch,Arguments runtimeArguments,Transaction tx,ClassLoader classLoader,URI programLocation){
  Injector injector=prepare();
  LocationFactory locationFactory=injector.getInstance(LocationFactory.class);
  Program program;
  try {
    program=Programs.create(locationFactory.create(programLocation),classLoader);
  }
 catch (  IOException e) {
    LOG.error("String_Node_Str" + programLocation);
    throw Throwables.propagate(e);
  }
  DatasetFramework datasetFramework=injector.getInstance(DatasetFramework.class);
  CConfiguration configuration=injector.getInstance(CConfiguration.class);
  ApplicationSpecification appSpec=program.getSpecification();
  MetricsCollectionService metricsCollectionService=null;
  DiscoveryServiceClient discoveryServiceClient=injector.getInstance(DiscoveryServiceClient.class);
  SparkSpecification sparkSpec=program.getSpecification().getSpark().get(program.getName());
  BasicSparkContext context=new BasicSparkContext(program,RunIds.fromString(runId),runtimeArguments,appSpec.getDatasets().keySet(),sparkSpec,logicalStartTime,workflowBatch,metricsCollectionService,datasetFramework,configuration,discoveryServiceClient);
  for (  TransactionAware txAware : context.getDatasetInstantiator().getTransactionAware()) {
    txAware.startTx(tx);
  }
  return context;
}

Fixed version (ground truth):
/** 
 * Build the instance of   {@link BasicSparkContext}.
 * @param runId            program run id
 * @param logicalStartTime The logical start time of the job.
 * @param workflowBatch    Tells whether the batch job is started by workflow.
 * @param runtimeArguments the runtime arguments
 * @param tx               transaction to use
 * @param classLoader      classloader to use
 * @param programLocation  program location
 * @return instance of {@link BasicMapReduceContext}
 */
public BasicSparkContext build(String runId,long logicalStartTime,String workflowBatch,Arguments runtimeArguments,Transaction tx,ClassLoader classLoader,URI programLocation){
  Injector injector=prepare();
  LocationFactory locationFactory=injector.getInstance(LocationFactory.class);
  Program program;
  try {
    program=Programs.create(locationFactory.create(programLocation),classLoader);
  }
 catch (  IOException e) {
    LOG.error("String_Node_Str",programLocation,e);
    throw Throwables.propagate(e);
  }
  DatasetFramework datasetFramework=injector.getInstance(DatasetFramework.class);
  CConfiguration configuration=injector.getInstance(CConfiguration.class);
  ApplicationSpecification appSpec=program.getSpecification();
  MetricsCollectionService metricsCollectionService=null;
  DiscoveryServiceClient discoveryServiceClient=injector.getInstance(DiscoveryServiceClient.class);
  SparkSpecification sparkSpec=program.getSpecification().getSpark().get(program.getName());
  BasicSparkContext context=new BasicSparkContext(program,RunIds.fromString(runId),runtimeArguments,appSpec.getDatasets().keySet(),sparkSpec,logicalStartTime,workflowBatch,metricsCollectionService,datasetFramework,configuration,discoveryServiceClient);
  for (  TransactionAware txAware : context.getDatasetInstantiator().getTransactionAware()) {
    txAware.startTx(tx);
  }
  return context;
}