ActivePI: Sandareka Wickramanayake
We propose to advance automated program repair by leveraging natural language processing techniques, iterative repair strategies, and explainable AI frameworks to enhance accuracy, robustness, and interpretability of repair systems.
ActivePI: Nisansa de Silva
This project delves into the synergy between Natural Language Processing (NLP) and the legal domain, presenting novel solutions to enduring challenges.
Conference Papers
Rajith Arulanandam and Nisansa De Silva, "Section-Weighted Hybrid Approach for Legal Case Retrieval", in 2026 8th International Conference on Natural Language Processing (ICNLP), 2026, pp. 567--571. doi: 10.1109/ICNLP69856.2026.11527762
Workshop Papers
Nethum Lamahewage, Nimantha Cooray, Ridwan Shariffdeen, Sandareka Wickramanayake, and Nisansa de Silva, "SCHOLIA-An XAI Framework for APR", in IEEE/ACM International Workshop on Automated Program Repair (APR), 2025, pp. 19--26. doi: 10.1109/APR66717.2025.00008
Extended Abstracts
H L S Sankaja, R P G Sandeeptha, R M R U Ranasingha, S Wickramanayake, and Nisansa de Silva, "Generating Natural Language Explanations for Automated Program Repair Generated Patches", in International Conference of Sabaragamuwa University of Sri Lanka, 2025, pp. 61.
