Exploring the Potential of LLM-Based Applications for User Feedback Analysis

Organisatsiooni nimi
#SEA
Kokkuvõte
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.
Lõputöö kaitsmise aasta
2024-2025
Juhendaja
Faiz Ali Shah
Suhtlemiskeel(ed)
inglise keel
Nõuded kandideerijale
Tase
Magister
Märksõnad
#LLMS, #SOFTWARE_MATINTENANCE, #USER_FEEDBACK_ANALYSIS, #SOFTWARE_EVOLUTION

Kandideerimise kontakt

 
Nimi
FAIZ ALI SHAH
Tel
E-mail
faiz.ali.shah@ut.ee