Program: 25153
Project: 25153
Buggy source:
/** 
 * Loads datasets into platform. Uploads given datasets and their manifests to staging area and triggers ETL pull. The call is asynchronous returning   {@link com.gooddata.FutureResult} to let caller wait for results.Uploaded files are deleted from staging area when finished.
 * @param project  project to which dataset belongs
 * @param datasets map dataset manifests
 * @return {@link com.gooddata.FutureResult} of the task, which can throw {@link com.gooddata.dataset.DatasetException}in case the ETL pull task fails
 * @throws com.gooddata.dataset.DatasetException if there is a problem to serialize manifest or upload dataset
 * @see <a href="https://developer.gooddata.com/article/multiload-of-csv-data">batch upload reference</a>
 */
public FutureResult<Void> loadDatasets(final Project project,final Collection<DatasetManifest> datasets){
  notNull(project,"String_Node_Str");
  validateUploadManifests(datasets);
  final List<String> datasetsNames=new ArrayList<>(datasets.size());
  try {
    final Path dirPath=Paths.get("String_Node_Str",project.getId() + "String_Node_Str" + RandomStringUtils.randomAlphabetic(3),"String_Node_Str");
    for (    DatasetManifest datasetManifest : datasets) {
      datasetsNames.add(datasetManifest.getDataSet());
      dataStoreService.upload(dirPath.resolve(datasetManifest.getFile()).toString(),datasetManifest.getSource());
    }
    final String manifestJson=mapper.writeValueAsString(new DatasetManifests(datasets));
    final ByteArrayInputStream inputStream=new ByteArrayInputStream(manifestJson.getBytes(UTF_8));
    dataStoreService.upload(dirPath.resolve(MANIFEST_FILE_NAME).toString(),inputStream);
    return pullLoad(project,dirPath.toString(),datasetsNames);
  }
 catch (  IOException e) {
    throw new DatasetException("String_Node_Str",datasetsNames,e);
  }
catch (  DataStoreException|GoodDataRestException|RestClientException e) {
    throw new DatasetException("String_Node_Str",datasetsNames,e);
  }
}

Fixed version (ground truth):
/** 
 * Loads datasets into platform. Uploads given datasets and their manifests to staging area and triggers ETL pull. The call is asynchronous returning   {@link com.gooddata.FutureResult} to let caller wait for results.Uploaded files are deleted from staging area when finished.
 * @param project  project to which dataset belongs
 * @param datasets map dataset manifests
 * @return {@link com.gooddata.FutureResult} of the task, which can throw {@link com.gooddata.dataset.DatasetException}in case the ETL pull task fails
 * @throws com.gooddata.dataset.DatasetException if there is a problem to serialize manifest or upload dataset
 * @see <a href="https://developer.gooddata.com/article/multiload-of-csv-data">batch upload reference</a>
 */
public FutureResult<Void> loadDatasets(final Project project,final Collection<DatasetManifest> datasets){
  notNull(project,"String_Node_Str");
  validateUploadManifests(datasets);
  final List<String> datasetsNames=new ArrayList<>(datasets.size());
  try {
    final String dirPath="String_Node_Str" + project.getId() + "String_Node_Str"+ RandomStringUtils.randomAlphabetic(3)+ "String_Node_Str";
    for (    DatasetManifest datasetManifest : datasets) {
      datasetsNames.add(datasetManifest.getDataSet());
      dataStoreService.upload(dirPath + datasetManifest.getFile(),datasetManifest.getSource());
    }
    final String manifestJson=mapper.writeValueAsString(new DatasetManifests(datasets));
    final ByteArrayInputStream inputStream=new ByteArrayInputStream(manifestJson.getBytes(UTF_8));
    dataStoreService.upload(dirPath + MANIFEST_FILE_NAME,inputStream);
    return pullLoad(project,dirPath,datasetsNames);
  }
 catch (  IOException e) {
    throw new DatasetException("String_Node_Str",datasetsNames,e);
  }
catch (  DataStoreException|GoodDataRestException|RestClientException e) {
    throw new DatasetException("String_Node_Str",datasetsNames,e);
  }
}