Your opinions let us know: Mining social network sites to evolve software product lines
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)?
Not specified
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.
Not specified
4. What is the main goal of the whole study?
This study aims to provide a requirements-driven process that speeds up the requirements engineering process using social network sites towards rapid software evolution. Among the NLP techniques, the authors use topic modeling and sentiment extraction to elicit user requirements. They run a case study on the smartwatch domain to validate the proposed approach. The results show that users’ opinions can contain useful information that can be used by software organizations to evolve their product lines.
5. What the researchers want to achieve by applying the technique(s) (e.g., calculate the sentiment polarity of app reviews)?
The polarity of users' opinions. The authors consider the negative sentiment as a sign of user’s a bad experience with a system or bad experience with a particular feature. In some cases, they acknowledge it might also be an indication of a feature request or a bug report. Conversely, a positive sentiment might be an indication of a positive user experience.
6. Which dataset(s) the technique is applied on?
Twe 30633 tweets from Twitter and 18482 comments about Facebook. To collect tweets, they leverage the hashtag-based search method of the Twitter API.
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?
NA
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?
Not for opinion mining
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?
NA
12. Write down any other comments/notes here.
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