A cognitive agent for mining bugs reports, feature suggestions and sentiment in a mobile application store

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)?

Senpy: J. F. Sa ́nchez-Rada, C. A. Iglesias, I. Corcuera-Platas, and O. Araque, “Senpy: A Pragmatic Linked Sentiment Analysis Framework,” in Pro- ceedings DSAA 2016 Special Track on Emotion and Sentiment in Intelligent Systems and Big Social Data Analysis (SentISData), October 2016.

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 design of a cognitive agent for assisting developers in managing their interaction with their users, the application of machine learning algorithms for bug and feature request detection, and the agent implementation in a real scenario

5. What the researchers want to achieve by applying the technique(s) (e.g., calculate the sentiment polarity of app reviews)?

Categorize the reviews according to the sentiment

6. Which dataset(s) the technique is applied on?

Dataset by Maleej et al. : W. Maalej and H. Nabil, “Bug report, feature request, or simply praise? on automatically classifying app reviews,” in 2015 IEEE 23rd International Requirements Engineering Conference (RE), Aug 2015, pp. 116–125.

7. Is/Are the dataset(s) publicly available online? If yes, please indicate their name and links.

Yes

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?

Final goal, the app itself, is not verified

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?

Anecdotal evidence

12. Write down any other comments/notes here.

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