Exploring the Potential of LLM-Based Applications for User Feedback Analysis
Organization
#SEA
Abstract
User feedback submitted to app marketplaces contains valuable information, such as feature requests and bug reports, which are important for the maintenance and evolution of mobile applications. This project aims to explore the potential of Large Language Model (LLM)-based applications, specifically Retrieval-Augmented Generation (RAG), for effectively querying and analyzing feedback relevant to mobile app development. The study also seeks to benchmark the performance of LLMs in this context, providing insights into their effectiveness for maintaining and improving mobile applications.
Graduation Theses defence year
2024-2025
Supervisor
Faiz Ali Shah
Spoken language (s)
English
Requirements for candidates
Level
Masters
Application of contact
Name
FAIZ ALI SHAH
Phone
E-mail