Towards Emotional Awareness in Software Development Teams
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)?
latent Dirichlet allocation (LDA) SentiStrength
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.
latent Dirichlet allocation (LDA) SentiStrength
4. What is the main goal of the whole study?
To summarize emotions expressed in collaboration artifacts by extracting topics and assigning them an average emotion score
5. What the researchers want to achieve by applying the technique(s) (e.g., calculate the sentiment polarity of app reviews)?
LDA to extract topics from the set of collaboration artifacts SentiStrength to assign a quantitative emotion (positive or negative) to the artifacts
6. Which dataset(s) the technique is applied on?
collaboration artifacts including commit messages in software repositories, bug reports, emails, wikis and twitter messages. (857 emails and 143 web pages are used for evaluation)
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?
Analyzed 857 emails and 143 web pages from Confluence generated during the iPraktikum lab course of the TU München in 2012, and interviewed the project leaders of 3 teams to evaluate the usefulness of the approach. Two of the interviewees were able to correlate positive and negative emotion peaks with the team performance, overall motivation, and important deadlines. The other could not recall the main events and dates, thus no correlations was found.
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?
If the interviewed team leader can correlate the generated topics/sentiment scores to with the team performance, motivation, and important events.
12. Write down any other comments/notes here.
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