Please Please Me: Does the Presence of Test Cases Influence Mobile App Users' Satisfaction?
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)?
A Feature-Oriented Sentiment Rating for Mobile App Reviews. https://doi.org/10.1145/3178876.3186168
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.
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4. What is the main goal of the whole study?
The study investigates whether there is a relation between having automated tests in mobile apps and overall user satisfaction. The latter is measured by using stars of app store ratings as well as sentiment analysis on user reviews.
5. What the researchers want to achieve by applying the technique(s) (e.g., calculate the sentiment polarity of app reviews)?
Compute the sentiment polarity of app reviews.
6. Which dataset(s) the technique is applied on?
Reviews from 60 mobile apps.
7. Is/Are the dataset(s) publicly available online? If yes, please indicate their name and links.
Yes: https://www.dropbox.com/sh/9laphrpulcq4g15/AADaaqNXURT16uEC4CXfUjz5a?dl
8. Is the application context (dataset or application domain) different from that for which the technique was originally designed?
No
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?
None
12. Write down any other comments/notes here.
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