Theses

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Postgraduate students are required to submit a thesis as part of fulfilling the requirements of their respective postgraduate degree programmes. This community features merit-based graduate theses submitted by SLIIT postgraduate students. Abstracts are available for public viewing, while the full texts can be accessed on-site within the library.

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    PublicationOpen Access
    Implementation of a Web-Based Complex Formula Editor
    (Sri Lanka Institute of Information Technology, 2025-12) RUBERU, T.D.B.S.
    Mathematical formula editing in web-based form has also not been easily achieved because it does not have real-time character-level editing, real-time handwriting recognition, and a smooth integration of the database. Current solutions like LaTeX editors or graphical tools that are not dynamically updated have the disadvantage of requiring one to re-write whole expressions to fix small mistakes. Moreover, they can only be accessible to students, researchers, and engineers to some extent due to the use of coding syntax or tedious interfaces. The proposed research is a new Web-Based Complex Formula Editor that would address these limitations. The system permits character level editing in real-time, so that users can edit individual formula portions directly. It is based on artificial intelligence (AI)-driven handwriting recognition to precisely change handwritten input into structured digital representations such as MathML and LaTeX. Besides, the editor has an equation retrieval system which is linked to the OpenMath standard. Through advanced web technologies and AI-based techniques, this performance fills the gap between usability and computing capabilities. The proposed editor has the capability of an easy to use, multipurpose platform to create and manage digital mathematical content and improve productivity and accessibility to a large extent.
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    PublicationOpen Access
    Design and Implementation of an AI-Assisted Code Review Tool for Low-Code Platforms to Improve Quality and Security
    (Sri Lanka Institute of Information Technology, 2025-12) PATHIRANA P.P.P.S.P
    Low-code platforms like Mendix fast-tracks application development but, due to limited review mechanisms, face challenges in sustaining the code quality and security. Existing code review approaches are not optimized for visual cues, model-driven workflows, increasing the possibility of logical, security, and performance issues introduced by citizen developers. This research introduces an AI-assisted code review tool that combines GPT-4 and Claude Opus 4 for workflow analysis and defect detection in low-code environments. The approach evolved from few-shot prompting to workflow-oriented fine-tuning, resulting in improved analytical precision and reliability. The tool was further enhanced to perform business gap assessments and deliver user-friendly, structured feedback via a pluggable React-based widget integrated into the Mendix environment. The evaluation of the tool demonstrated an average precision of 84.5% and an average recall of 84.8% and an F1 score between (0.82-0.87), with workflow-based fine-tuning outperforming few-shot learning. A preliminary usability study with 25 developers demonstrated a 90% satisfaction rate and approximately 50% reduction in issue resolution time. Proxy validation using generative AI models was performed due to the limited availability of Mendix domain experts. These findings highlight the capability of AI-assisted code review to enhance workflow quality, strengthen application security, and improve developer productivity in low-code environments.
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    PublicationOpen Access
    Scaling Up Usability for Cloud-ERP Adoption: A Study on User-Experience In Sri Lanka
    (SLIIT, 2024-12) Jayathilake, J.M.H.R.
    Cloud ERP systems can be viewed as a ladder for growth of the businesses where it helps to gather numerous benefits. Therefore, it is essential for a business to adopt ERPs. Studies show that most of the Sri Lankan businesses do not use Cloud based ERP systems. The growing popularity of cloud-based Enterprise Resource Planning (ERP) systems in organizational settings highlights the need to fully understand the Usability for their implementation. The user experience component of increasing Usability preparedness for cloud-ERP adoption is examined in this study. This study promises to offer insights into improving businesses readiness to successfully deploy cloud-based ERP systems by examining a pain point of Usability and how criteria of usability is helped for scaling up usability through user experience within Sri Lankan context. To capture a range of viewpoints and experiences, the study uses a quantitative methodology that incorporates quantitative questionnaires. The research's conclusions help in the creation of plans for enhancing user experience and promoting the effective implementation of cloud-based ERP systems in business environments.