Automatically Mining Negative Code Examples from Software Developer Q & A Forums

1. Does the paper propose a new opinion mining approach?

Yes

2. Which opinion mining techniques are used (list all of them, clearly stating their name/reference)?

The authors developed a sentiment analysis-based technique for mining negative code examples from Stack Overflow. The technique uses a number of negative indicators defined by the authors (e.g., the presence of "infinite loop" in a sentence) to identify the negative examples.

3. Which opinion mining approaches in the paper are publicly available? Write down their name and links. If no approach is publicly available, leave it blank or None.

None

4. What is the main goal of the whole study?

The main goal is to explore ways to utilize negative sentiment indicators to use the opinion of the questioner to classify code segments in Q & A forum questions as negative or otherwise (i.e., non-negative).

5. What the researchers want to achieve by applying the technique(s) (e.g., calculate the sentiment polarity of app reviews)?

Identify negative sentences in Stack Overflow that are likely to be referred to the code example presented in the discussion.

6. Which dataset(s) the technique is applied on?

240 Stack Overflow questions that contain code tags

7. Is/Are the dataset(s) publicly available online? If yes, please indicate their name and links.

No

8. Is the application context (dataset or application domain) different from that for which the technique was originally designed?

Yes

9. Is the performance (precision, recall, run-time, etc.) of the technique verified? If yes, how did they verify it and what are the results?

Yes, precision and recall by comparing the recommendations of the technique with that of humans annotators on the same dataset.

10. Does the paper replicate the results of previous work? If yes, leave a summary of the findings (confirm/partially confirms/contradicts).

No

11. What success metrics are used?

Precision and recall

12. Write down any other comments/notes here.

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