What Can the Sentiment of a Software Requirements Specification Document Tell Us?
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)?
Senti4SD
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.
Senti4SD is available on GitHub: https://github.com/collab-uniba/Senti4SD
4. What is the main goal of the whole study?
analyze the sentiment in requirements specification documents to test whether most sentences in requirements specifications are neutral.
5. What the researchers want to achieve by applying the technique(s) (e.g., calculate the sentiment polarity of app reviews)?
Calculate the sentiment polarity of sentences in requirements specification documents.
6. Which dataset(s) the technique is applied on?
22 manually collected requirements specification documents.
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, Senti4SD was trained on SO.
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?
-
12. Write down any other comments/notes here.
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