Towards understanding and exploiting developers' emotional variations in software engineering

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

No

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

A tuned version of SentiStrength. SentiStrength: M. Thelwall, K. Buckley, and G. Paltoglou. Sentiment strength detection for the social web. Journal of the American Society for Info. Science and Tech., 63(1):163–173, 2012.

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.

SentiStrength: M. Thelwall, K. Buckley, and G. Paltoglou. Sentiment strength detection for the social web. Journal of the American Society for Info. Science and Tech., 63(1):163–173, 2012.

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

Understand the expression of emotions in commit messages.

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

Calculate sentiment in commit messages.

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

Commit messages extracted from BOA 2016.

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

Boa; R. Dyer, H. Nguyen, H. Rajan, and T. Nguyen. Boa: A language and infrastructure for analyzing ultra-large-scale software repositories. In ICSE, pages 422–431, May 2013.

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

Sort of, SentiStrength has been designed on a different domain, however, the authors do tune it for SE.

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?

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

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11. What success metrics are used?

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12. Write down any other comments/notes here.

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