All Outputs (3)

From conventional methods to large language models: a systematic review of techniques in mobile app review analysis. (2025)
Journal Article
ARAMBEPOLA, N., MUNASINGHE, L. and WIMALASENA, W. 2025. From conventional methods to large language models: a systematic review of techniques in mobile app review analysis. International journal of information, knowledge and management [online], 20, article number 16. Available from: https://doi.org/10.28945/5491

This paper focuses on app review analysis techniques, driven by the rapid advancement of the mobile app market and NLP techniques in optimizing mobile app user experiences. Owing to technological advancements, app review analysis has rapidly evolved.... Read More about From conventional methods to large language models: a systematic review of techniques in mobile app review analysis..

Cross-validation for detecting label poisoning attacks: a study on random forest algorithm. (2024)
Presentation / Conference Contribution
YASARATHNA, T.L., MUNASINGHE, L., KALUTARAGE, H. and LE-KHAC, N.-A. 2024. Cross-validation for detecting label poisoning attacks: a study on random forest algorithm. In Pitropakis, N., Katsikas, S., Furnell, S. and Markantonakis, K. (eds.) Proceedings of the 39th International Federation for Information Processing (IFIP) International conference on ICT systems security and privacy protection 2024 (IFIP SEC 2024), 12-14 June 2024, Edinburgh, UK. IFIP Advances in information and communication technology, 710. Cham: Springer [online], pages 451-464. Available from: https://doi.org/10.1007/978-3-031-65175-5_32

The widespread adoption of machine learning (ML) algorithms has revolutionized various aspects of modern life. However, their susceptibility to data poisoning attacks remains a significant concern due to their potential to compromise model integrity... Read More about Cross-validation for detecting label poisoning attacks: a study on random forest algorithm..

Factors influencing mobile app user experience: an analysis of education app user reviews. (2024)
Presentation / Conference Contribution
ARAMBEPOLA, N., MUNASINGHE, L. and WARNAJITH, N. 2024. Factors influencing mobile app user experience: an analysis of education app user reviews. In 4th International conference on advanced research in computing 2024 (ICARC 2024), 21-24 February 2024, Belihuloya, Sri Lanka. Piscataway: IEEE [online], pages 223-228. Available from: https://doi.org/10.1109/ICARC61713.2024.10499727

In the competitive digital world, user reviews considered as the most vital source of user feedback, provide valuable insights that reflect the success of software applications in terms of user experience (UX). As user-generated content grows exponen... Read More about Factors influencing mobile app user experience: an analysis of education app user reviews..