ELICA: An Automated Tool for Dynamic Extraction of Requirements Relevant Information
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)?
IBM tone analyzer: R Akkiraju, “IBM Watson Tone Analyzer?new service now available,” Jul, vol. 16, pp. 1–13, 2015.
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.
IBM tone analyzer, no link in paper.
4. What is the main goal of the whole study?
Facilitate requirement elicitation by dynamic extraction and automatic labeling of requirements.
5. What the researchers want to achieve by applying the technique(s) (e.g., calculate the sentiment polarity of app reviews)?
Extract the tone of requirements,
6. Which dataset(s) the technique is applied on?
A manual transcription of several interviews knows as the ThyssenKrupp Presta Steering group data.
7. Is/Are the dataset(s) publicly available online? If yes, please indicate their name and links.
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8. Is the application context (dataset or application domain) different from that for which the technique was originally designed?
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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?
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10. Does the paper replicate the results of previous work? If yes, leave a summary of the findings (confirm/partially confirms/contradicts).
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11. What success metrics are used?
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12. Write down any other comments/notes here.
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