Evaluating Pre-Trained Models for User Feedback Analysis in Software
Engineering: A Study on Classification of App-Reviews

v1v2v3 (latest)

Evaluating Pre-Trained Models for User Feedback Analysis in Software Engineering: A Study on Classification of App-Reviews

Empirical Software Engineering (EMSE), 2021

12 April 2021

Fatemeh H. Fard

ArXiv (abs)PDF HTML

Papers citing "Evaluating Pre-Trained Models for User Feedback Analysis in Software Engineering: A Study on Classification of App-Reviews"

4 / 4 papers shown

Title
Exploring Zero-Shot App Review Classification with ChatGPT: Challenges and Potential Mohit Chaudhary Chirag Jain Preethu Rose Anish 171 0 0 07 May 2025
APIContext2Com: Code Comment Generation by Incorporating Pre-Defined API DocumentationIEEE International Conference on Program Comprehension (ICPC), 2023 Ramin Shahbazi Fatemeh H. Fard 154 4 0 03 Mar 2023
On the Effectiveness of Pretrained Models for API LearningIEEE International Conference on Program Comprehension (ICPC), 2022 M. Hadi Imam Nur Bani Yusuf Ferdian Thung K. Luong Jiang Lingxiao Fatemeh H. Fard David Lo 162 14 0 05 Apr 2022
Pre-Trained Neural Language Models for Automatic Mobile App User Feedback Answer Generation Yue Cao Fatemeh H. Fard 159 8 0 04 Feb 2022