Program: 5822
Project: 5822
Buggy source:
@Override public void initialize() throws Exception {
  SparkClientContext context=getContext();
  cleanupFiles=new ArrayList<>();
  CompositeFinisher.Builder finishers=CompositeFinisher.builder();
  SparkConf sparkConf=new SparkConf();
  sparkConf.set("String_Node_Str","String_Node_Str");
  sparkConf.set("String_Node_Str","String_Node_Str");
  context.setSparkConf(sparkConf);
  Map<String,String> properties=context.getSpecification().getProperties();
  BatchPhaseSpec phaseSpec=GSON.fromJson(properties.get(Constants.PIPELINEID),BatchPhaseSpec.class);
  DatasetContextLookupProvider lookProvider=new DatasetContextLookupProvider(context);
  MacroEvaluator evaluator=new DefaultMacroEvaluator(context.getWorkflowToken(),context.getRuntimeArguments(),context.getLogicalStartTime(),context,context.getNamespace());
  SparkBatchSourceFactory sourceFactory=new SparkBatchSourceFactory();
  SparkBatchSinkFactory sinkFactory=new SparkBatchSinkFactory();
  Map<String,Integer> stagePartitions=new HashMap<>();
  for (  StageInfo stageInfo : phaseSpec.getPhase()) {
    String stageName=stageInfo.getName();
    String pluginType=stageInfo.getPluginType();
    if (BatchSource.PLUGIN_TYPE.equals(pluginType)) {
      BatchConfigurable<BatchSourceContext> batchSource=context.newPluginInstance(stageName,evaluator);
      BatchSourceContext sourceContext=new SparkBatchSourceContext(sourceFactory,context,lookProvider,stageName);
      batchSource.prepareRun(sourceContext);
      finishers.add(batchSource,sourceContext);
    }
 else     if (BatchSink.PLUGIN_TYPE.equals(pluginType)) {
      BatchConfigurable<BatchSinkContext> batchSink=context.newPluginInstance(stageName,evaluator);
      BatchSinkContext sinkContext=new SparkBatchSinkContext(sinkFactory,context,null,stageName);
      batchSink.prepareRun(sinkContext);
      finishers.add(batchSink,sinkContext);
    }
 else     if (SparkSink.PLUGIN_TYPE.equals(pluginType)) {
      BatchConfigurable<SparkPluginContext> sparkSink=context.newPluginInstance(stageName,evaluator);
      SparkPluginContext sparkPluginContext=new BasicSparkPluginContext(context,lookProvider,stageName);
      sparkSink.prepareRun(sparkPluginContext);
      finishers.add(sparkSink,sparkPluginContext);
    }
 else     if (BatchAggregator.PLUGIN_TYPE.equals(pluginType)) {
      BatchAggregator aggregator=context.newPluginInstance(stageName,evaluator);
      AbstractAggregatorContext aggregatorContext=new SparkAggregatorContext(context,new DatasetContextLookupProvider(context),stageName);
      aggregator.prepareRun(aggregatorContext);
      finishers.add(aggregator,aggregatorContext);
      stagePartitions.put(stageName,aggregatorContext.getNumPartitions());
    }
 else     if (BatchJoiner.PLUGIN_TYPE.equals(pluginType)) {
      BatchJoiner joiner=context.newPluginInstance(stageName,evaluator);
      SparkJoinerContext sparkJoinerContext=new SparkJoinerContext(stageName,context);
      joiner.prepareRun(sparkJoinerContext);
      finishers.add(joiner,sparkJoinerContext);
      stagePartitions.put(stageName,sparkJoinerContext.getNumPartitions());
    }
  }
  File configFile=File.createTempFile("String_Node_Str","String_Node_Str");
  cleanupFiles.add(configFile);
  try (OutputStream os=new FileOutputStream(configFile)){
    sourceFactory.serialize(os);
    sinkFactory.serialize(os);
    DataOutput dataOutput=new DataOutputStream(os);
    dataOutput.writeUTF(GSON.toJson(stagePartitions));
  }
   finisher=finishers.build();
  context.localize("String_Node_Str",configFile.toURI());
}

Fixed version (ground truth):
@Override public void initialize() throws Exception {
  SparkClientContext context=getContext();
  cleanupFiles=new ArrayList<>();
  CompositeFinisher.Builder finishers=CompositeFinisher.builder();
  SparkConf sparkConf=new SparkConf();
  sparkConf.set("String_Node_Str","String_Node_Str");
  sparkConf.set("String_Node_Str","String_Node_Str");
  context.setSparkConf(sparkConf);
  Map<String,String> properties=context.getSpecification().getProperties();
  BatchPhaseSpec phaseSpec=GSON.fromJson(properties.get(Constants.PIPELINEID),BatchPhaseSpec.class);
  DatasetContextLookupProvider lookProvider=new DatasetContextLookupProvider(context);
  MacroEvaluator evaluator=new DefaultMacroEvaluator(context.getWorkflowToken(),context.getRuntimeArguments(),context.getLogicalStartTime(),context,context.getNamespace());
  SparkBatchSourceFactory sourceFactory=new SparkBatchSourceFactory();
  SparkBatchSinkFactory sinkFactory=new SparkBatchSinkFactory();
  Map<String,Integer> stagePartitions=new HashMap<>();
  for (  StageInfo stageInfo : phaseSpec.getPhase()) {
    String stageName=stageInfo.getName();
    String pluginType=stageInfo.getPluginType();
    if (BatchSource.PLUGIN_TYPE.equals(pluginType)) {
      BatchConfigurable<BatchSourceContext> batchSource=context.newPluginInstance(stageName,evaluator);
      BatchSourceContext sourceContext=new SparkBatchSourceContext(sourceFactory,context,lookProvider,stageName);
      batchSource.prepareRun(sourceContext);
      finishers.add(batchSource,sourceContext);
    }
 else     if (BatchSink.PLUGIN_TYPE.equals(pluginType)) {
      BatchConfigurable<BatchSinkContext> batchSink=context.newPluginInstance(stageName,evaluator);
      BatchSinkContext sinkContext=new SparkBatchSinkContext(sinkFactory,context,null,stageName);
      batchSink.prepareRun(sinkContext);
      finishers.add(batchSink,sinkContext);
    }
 else     if (SparkSink.PLUGIN_TYPE.equals(pluginType)) {
      BatchConfigurable<SparkPluginContext> sparkSink=context.newPluginInstance(stageName,evaluator);
      SparkPluginContext sparkPluginContext=new BasicSparkPluginContext(context,lookProvider,stageName);
      sparkSink.prepareRun(sparkPluginContext);
      finishers.add(sparkSink,sparkPluginContext);
    }
 else     if (BatchAggregator.PLUGIN_TYPE.equals(pluginType)) {
      BatchAggregator aggregator=context.newPluginInstance(stageName,evaluator);
      AbstractAggregatorContext aggregatorContext=new SparkAggregatorContext(context,new DatasetContextLookupProvider(context),stageName);
      aggregator.prepareRun(aggregatorContext);
      finishers.add(aggregator,aggregatorContext);
      stagePartitions.put(stageName,aggregatorContext.getNumPartitions());
    }
 else     if (BatchJoiner.PLUGIN_TYPE.equals(pluginType)) {
      BatchJoiner joiner=context.newPluginInstance(stageName,evaluator);
      SparkJoinerContext sparkJoinerContext=new SparkJoinerContext(stageName,context);
      joiner.prepareRun(sparkJoinerContext);
      finishers.add(joiner,sparkJoinerContext);
      stagePartitions.put(stageName,sparkJoinerContext.getNumPartitions());
    }
  }
  File configFile=File.createTempFile("String_Node_Str","String_Node_Str");
  cleanupFiles.add(configFile);
  try (Writer writer=Files.newBufferedWriter(configFile.toPath(),StandardCharsets.UTF_8)){
    SparkBatchSourceSinkFactoryInfo sourceSinkInfo=new SparkBatchSourceSinkFactoryInfo(sourceFactory,sinkFactory,stagePartitions);
    writer.write(GSON.toJson(sourceSinkInfo));
  }
   finisher=finishers.build();
  context.localize("String_Node_Str",configFile.toURI());
}