• A Hybrid LLM-Driven Recommendation System for Selecting Flutter Packages Using Structured Metadata and Stack Overflow Knowledge 

  Bandara, R.M.I.M.; Chathumini, K.G.L.; Kumara, B.T.G.S. (Faculty of Computing. Sabaragamuwa University of Sri Lanka., 2026-01-28)

  The rapid growth of the Flutter ecosystem has built significant challenges for the developers in choosing the right third-party packages. Existing popularity-based methods fail to capture developer intent or semantic ...
• AI-Driven Risk Prediction in Software Development Environment 

  Sanchayan, R.; Somaweera, W.T.S.; Sandaruwan, R.M.T. (Faculty of Computing. Sabaragamuwa University of Sri Lanka., 2026-01-28)

  Software development projects are constantly carried out in circumstances that are highly unexpected and dynamic. Unpredictability caused by frequent demand changes, shifting responsibilities, and delivery schedule ...
• AI Based Flutter Interface Generator Using Natural Language Commands with Social and Ethical Considerations 

  Andarawewa, K.M.; Chathumini, K.G.L. (Faculty of Computing. Sabaragamuwa University of Sri Lanka., 2026-01-28)

  The accelerated pace of development of Artificial Intelligence (AI) and the emerging opportunities to automate the generation of user interfaces (UI) are explored in this research, especially within the context of ...
• Detecting Developer Burnout Through Sentiment Trends in Software Repositories Using DistilBERT 

  Samaraweera, S.P.I.L.D.; Adeeba, S. (Faculty of Computing. Sabaragamuwa University of Sri Lanka., 2026-01-28)

  Recent studies have indicated that severe chronic stress relates to burnout, and Software Engineering (SE) is no exception, having greater than 57chronic stress. Conventional methods of evaluation employ surveys and ...
• Semantic Metadata-enhanced Deep Learning Techniques for Duplicate Bug Report Detection 

  Sandunika, D.M.N.; Herath, G.A.C.A. (Faculty of Computing. Sabaragamuwa University of Sri Lanka., 2026-01-28)

  Duplication of bug reports poses a significant impact on software development efficiency with 12-25% of bugs report being duplicated on large projects. Manual identification techniques are both time consuming and prone ...

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