Exploring the links between software development task type, team attitudes and task completion performance: Insights from the Jazz repository
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)?
Linguistic Inquiry and Word Count (LIWC)
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.
LIWC: commercial software
4. What is the main goal of the whole study?
to study the relationships between task type and team attitudes, and how attitudes expressed in teams’ communications might be related to their task completion performance when undertaking a range of activities
5. What the researchers want to achieve by applying the technique(s) (e.g., calculate the sentiment polarity of app reviews)?
to analyze practitioners’ and teams’ attitudes
6. Which dataset(s) the technique is applied on?
artefacts from 474 IBM Jazz practitioners assembled in 149 teams working on around 30,000 software development tasks over a three-year period
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, LIWC is based on everyday conversations.
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?
N/A
12. Write down any other comments/notes here.
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