Research Publications
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Item Embargo Evaluating Large Language Models for Software Testing: A Systematic Review of Metrics and Practices(Springer Science and Business Media Deutschland GmbH, 2026) Perera V.I.T; De Silva D.I.The recent advancements in Large Language Models (LLMs) present substantial potential for revolutionizing software testing practices, particularly through automated test case generation. This review synthesizes contemporary research on LLM-driven software testing methods, with a specific focus on evaluation metrics. A systematic literature review was conducted using databases like IEEE Xplore, ResearchGate, and Google Scholar, targeting literature published between 2020 and 2024, specifically focusing on LLM-based test case generation. Selection criteria included relevance to automated testing and practical application insights. This review analyzes 15 key studies that span multiple test domains, and the key findings reveal significant advancements in using LLMs for diverse testing types, including unit, property-based, security, and user acceptance testing. Despite substantial benefits, issues such as test case validity, reliability, and prompt engineering complexity remain challenging. The review concludes with recommendations for developing a standardized metric-driven evaluation framework for better assessing LLM-generated tests. This comprehensive approach aims to effectively measure and optimize the practical utility and reliability of LLM-generated software tests, ultimately guiding future research directions and improving adoption within the software industry. The key contribution of this review is a comprehensive metric-focused evaluation of LLM-driven software testing techniques offering a foundation for developing standardize evaluation methodologies and practical testing frameworks.Publication Open Access CIRCULAR ECONOMY (CE) BASED MATERIAL SELECTION: DEVELOPMENT OF A CE-BASED ‘10R’ EVALUATION FRAMEWORK FOR BUILDING CONSTRUCTION PROJECTS IN SRI LANKA(https://ciobwcs.com, 2022-06-24) Wanaguru, K; Mallawaarachchi, H; Vijerathne, DThe building construction industry is globally identified as one of the major consumers of materials. Thus, the material wastage in building construction projects is very excessive. In the Sri Lankan construction industry, it was identified that the main reason for generating material wastage is the absence of proper material selection criteria. The concept of Circular Economy (CE) has been obtained the world attention in reducing material wastage in the construction industry as it targets zero waste and pollution throughout the lifecycle of materials. Applying CE principles in the material selection not only reduces the wastage of materials but also reduces the use of virgin materials. Hence, this research aimed for developing a CE-based 10R evaluation framework for materials selection in order to reduce the wastage of materials in building construction projects in Sri Lanka. A comprehensive literature review was first conducted to review the concept of CE, CE principles and its importance for reducing material wastage in the construction industry. Deductive approach was chosen as the suitable research approach in this study. Survey method was applied as the suitable research strategy under quantitative phenomenon. A questionnaire survey was conducted with a conveniently selected sample of 58 industry professionals to collect the data. The collected data were analysed by using Weighted Mean Average (WMA) technique. As key findings derived through analysis, the level of importance of each CE principle for selection of materials was determined. Accordingly, the CE-based 10R evaluation framework for material selection was developed as the main implication of this research. Various strategies, such as reusing demolition materials, adopting prefabricated building components, developing plans to on-site recycle and using alternative materials were also proposed to implement the all identified CE principles assuring a successful application of the developed framework.