Conference
Mining app reviews for user feedback analysis in requirements engineering: a project report
| Title: | Mining app reviews for user feedback analysis in requirements engineering: a project report |
|---|---|
| Authors: | Motger de la Encarnación, Joaquim, Oriol Hilari, Marc, Tiessler Aguirre, Max, Franch Gutiérrez, Javier, Marco Gómez, Jordi |
| Source: | UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) |
| Publisher Information: | CEUR-WS.org, 2025. |
| Publication Year: | 2025 |
| Subject Terms: | App review mining, Àrees temàtiques de la UPC::Informàtica::Enginyeria del software, Natural language processing, Requirements engineering, Feature extraction, User feedback analysis, Large language models, Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Llenguatge natural, Competition analysis, Emotion extraction |
| Description: | Mining app reviews has emerged as a valuable practice in requirements engineering, providing insights into feature usage trends, user satisfaction, and emerging software issues. While recent advances in natural language processing have enhanced review analysis, challenges persist in feature extraction, sentiment ambiguity, and the scalability of automated methods, among others. This project report presents our research efforts in app review mining, focusing on methodological, software-based, and data-driven contributions. We explore both supervised and unsupervised learning approaches, leveraging large language models for key tasks such as feature identification, competition analysis, and emotion extraction. Additionally, we develop open-source tools and datasets to support reproducibility and adoption of our methods. Our findings highlight the potential of large language models in automating user feedback analysis while identifying gaps that require further research, particularly in addressing model reliability and evaluation challenges. With the support from the Secretariat for Universities and Research of the Ministry of Business and Knowledge of the Government of Catalonia and the European Social Fund. This paper has been funded by the Spanish Ministerio de Ciencia e Innovación under project / funding scheme PID2020-117191RB-I00 / AEI/10.13039/501100011033. |
| Document Type: | Conference object |
| File Description: | application/pdf |
| Language: | English |
| Access URL: | https://hdl.handle.net/2117/432916 |
| Rights: | CC BY |
| Accession Number: | edsair.dedup.wf.002..75ded56c79f133d83e6d41162c4d4ccd |
| Database: | OpenAIRE |
| Description not available. |