Program: 87777
Project: 87777
Buggy source:
public Result getResults(final int capitalizeType,final Locale locale){
  final String[] gatheredSuggestions;
  final boolean hasRecommendedSuggestions;
  if (0 == mLength) {
    if (null == mBestSuggestion) {
      gatheredSuggestions=null;
      hasRecommendedSuggestions=false;
    }
 else {
      gatheredSuggestions=EMPTY_STRING_ARRAY;
      final float normalizedScore=BinaryDictionary.calcNormalizedScore(mOriginalText,mBestSuggestion,mBestScore);
      hasRecommendedSuggestions=(normalizedScore > mRecommendedThreshold);
    }
  }
 else {
    if (DBG) {
      if (mLength != mSuggestions.size()) {
        Log.e(TAG,"String_Node_Str");
      }
      for (int i=mLength - 1; i >= 0; --i) {
        Log.i(TAG,"String_Node_Str" + mScores[i] + "String_Node_Str"+ mSuggestions.get(i));
      }
    }
    Collections.reverse(mSuggestions);
    StringUtils.removeDupes(mSuggestions);
    if (StringUtils.CAPITALIZE_ALL == capitalizeType) {
      for (int i=0; i < mSuggestions.size(); ++i) {
        mSuggestions.set(i,mSuggestions.get(i).toString().toUpperCase(locale));
      }
    }
 else     if (StringUtils.CAPITALIZE_FIRST == capitalizeType) {
      for (int i=0; i < mSuggestions.size(); ++i) {
        mSuggestions.set(i,StringUtils.toTitleCase(mSuggestions.get(i).toString(),locale));
      }
    }
    gatheredSuggestions=mSuggestions.toArray(EMPTY_STRING_ARRAY);
    final int bestScore=mScores[mLength - 1];
    final String bestSuggestion=mSuggestions.get(0);
    final float normalizedScore=BinaryDictionary.calcNormalizedScore(mOriginalText,bestSuggestion.toString(),bestScore);
    hasRecommendedSuggestions=(normalizedScore > mRecommendedThreshold);
    if (DBG) {
      Log.i(TAG,"String_Node_Str" + bestSuggestion + "String_Node_Str"+ bestScore);
      Log.i(TAG,"String_Node_Str" + normalizedScore + "String_Node_Str"+ mRecommendedThreshold+ "String_Node_Str"+ hasRecommendedSuggestions);
    }
  }
  return new Result(gatheredSuggestions,hasRecommendedSuggestions);
}

Fixed version (ground truth):
public Result getResults(final int capitalizeType,final Locale locale){
  final String[] gatheredSuggestions;
  final boolean hasRecommendedSuggestions;
  if (0 == mLength) {
    if (null == mBestSuggestion) {
      gatheredSuggestions=null;
      hasRecommendedSuggestions=false;
    }
 else {
      gatheredSuggestions=EMPTY_STRING_ARRAY;
      final float normalizedScore=BinaryDictionary.calcNormalizedScore(mOriginalText,mBestSuggestion,mBestScore);
      hasRecommendedSuggestions=(normalizedScore > mRecommendedThreshold);
    }
  }
 else {
    if (DBG) {
      if (mLength != mSuggestions.size()) {
        Log.e(TAG,"String_Node_Str");
      }
      for (int i=mLength - 1; i >= 0; --i) {
        Log.i(TAG,"String_Node_Str" + mScores[i] + "String_Node_Str"+ mSuggestions.get(i));
      }
    }
    Collections.reverse(mSuggestions);
    StringUtils.removeDupes(mSuggestions);
    if (StringUtils.CAPITALIZE_ALL == capitalizeType) {
      for (int i=0; i < mSuggestions.size(); ++i) {
        mSuggestions.set(i,mSuggestions.get(i).toString().toUpperCase(locale));
      }
    }
 else     if (StringUtils.CAPITALIZE_FIRST == capitalizeType) {
      for (int i=0; i < mSuggestions.size(); ++i) {
        mSuggestions.set(i,StringUtils.capitalizeFirstCodePoint(mSuggestions.get(i).toString(),locale));
      }
    }
    gatheredSuggestions=mSuggestions.toArray(EMPTY_STRING_ARRAY);
    final int bestScore=mScores[mLength - 1];
    final String bestSuggestion=mSuggestions.get(0);
    final float normalizedScore=BinaryDictionary.calcNormalizedScore(mOriginalText,bestSuggestion.toString(),bestScore);
    hasRecommendedSuggestions=(normalizedScore > mRecommendedThreshold);
    if (DBG) {
      Log.i(TAG,"String_Node_Str" + bestSuggestion + "String_Node_Str"+ bestScore);
      Log.i(TAG,"String_Node_Str" + normalizedScore + "String_Node_Str"+ mRecommendedThreshold+ "String_Node_Str"+ hasRecommendedSuggestions);
    }
  }
  return new Result(gatheredSuggestions,hasRecommendedSuggestions);
}