Finding the Needle in a Haystack: On the Automatic Identification of Accessibility User Reviews
Author:
Affiliation:
1. Department of Software Engineering Rochester Institute of Technology, United States
2. Computer Science and Engineering University of North Texas, United States
3. Computer Science Western Washington University, United States
Funder
National Science Foundation
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3411764.3445281
Reference72 articles.
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3. Toward the automatic classification of Self-Affirmed Refactoring
4. Eman Abdullah AlOmar Anthony Peruma Mohamed Wiem Mkaouer Christian Newman Ali Ouni and Marouane Kessentini. 2020. How we refactor and how we document it? On the use of supervised machine learning algorithms to classify refactoring documentation. Expert Systems with Applications(2020) 114176. Eman Abdullah AlOmar Anthony Peruma Mohamed Wiem Mkaouer Christian Newman Ali Ouni and Marouane Kessentini. 2020. How we refactor and how we document it? On the use of supervised machine learning algorithms to classify refactoring documentation. Expert Systems with Applications(2020) 114176.
5. Accessibility issues in Android apps
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