Analyzing Developer Sentiment in Commit Logs

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)?

Sentistrength: M. Thelwall, K. Buckley, G. Paltoglou, D. Cai, and A. Kappas, “Sentiment strength detection in short informal text,” J. Am. Soc. Inf. Sci. Technol., vol. 61, no. 12, pp. 2544–2558, Dec. 2010. Dual score, the final evaluation is based on the sum of the maximum positive and the maximum negative score.

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 http://sentistrength.wlv.ac.uk/

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

RQ1: What is the general developer sentiment in commit messages for GitHub projects? RQ2: What is the relationship between developer sentiment in commit messages and the day of the week the commit was made? RQ3: Is there a correlation between the number of changed files and developer sentiment?

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

As above

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

2,251,585 commit logs of 28,466 projects from the MSR 2016 dataset.

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

Dataset downloaded using Boa scripts http://seresl.csis.ysu.edu/MSR16challenge/GITmedium.zip Boa scripts that have been used by the authors to get the data http://seresl.csis.ysu.edu/MSR16challenge Dataset with SentiStrength applied http://seresl.csis.ysu.edu/MSR16challenge/GITmedium-senti.zip

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?

No

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?

No

12. Write down any other comments/notes here.

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