Research Publications
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Item Embargo The Influence of Generative AI on work-life balance among female software professionals in Sri Lanka(Institute of Electrical and Electronics Engineers Inc., 2025) Upeksha, S; Samarasinghe, D.T; Sanochana, M; Samarathunga, S.S; Rajamanthri, L; Samarakkody, T; Aluthwala, CThis study explores the role of generative artificial intelligence on work-life balance among female software professionals in Sri Lanka's software industry. This qualitative study explores the influence of Generative Artificial Intelligence (GenAI) tools on workload, productivity, and overall well-being to show how these technologies uniquely shape professional and personal lives within this demographic group. Data were gathered through semi-structured interviews with 15 female software professionals from various job roles, including software engineers, quality assurance engineers, system engineers, Development and Operations (DevOps) engineers, and project managers. Using thematic analysis, findings disclose that generative AI is mostly utilized for automation, communication and collaboration, creativity and innovation, and decision support, with ChatGPT being the most widely used tool. These tools will enable professionals to streamline the workload, increase efficiency, reduce overtime, and maintain healthy working conditions. The insights of this study yield important implications for employers and government organizations such as the Department of Labor, explicitly pointing out how generative AI can be instrumented to create a favorable work environment. Thus, by applying generative AI solutions, the key stakeholders of the Sri Lankan software industry can create work conditions crucial for the work-life balance of women to enhance organizational performance as well as the work-related well-being of female software professionals.Publication Open Access Antecedents of Internal Stakeholder Satisfaction of Agile Projects: Evidence from the Sri Lankan Software Industry(ICSDB 2024 and SLIIT Business School, 2024-12-10) Kasturiarachchi, S.; Senevirathne, V.V.K.Internal stakeholder satisfaction is critical for project success. Adopting agile methodologies in software projects is perceived as a more adaptable approach than traditional project management methods, potentially leading to higher internal stakeholder satisfaction. However, numerous agile projects in the Sri Lankan software industry struggle with poor internal stakeholder satisfaction. Addressing this gap, the study has investigated the drivers of internal stakeholder satisfaction in agile projects within the Sri Lankan software industry. Accordingly, the five most appropriate practices – communication among internal stakeholders, frequent customer feedback, iterative development, collaboration, and flexibility to adopt customers’ late changes and a mediating factor – trust were identified, forming the basis for the conceptual framework. To evaluate it, the researchers analysed data from 137 internal stakeholders using multiple linear regression. The results showed that trustworthy communication, iterative development, and collaboration have a positive impact on internal stakeholder satisfaction, while mere communication among internal stakeholders, frequent customer feedback, and flexibility to adopt customers' late changes do not significantly impact internal stakeholder satisfaction in this context. The research provides valuable insights and practical recommendations to enhance internal stakeholder satisfaction in agile projects.Publication Embargo Analysis on the Risk and the Categorization on Test Automation in Sri Lankan Software Industry(IEEE, 2021-12-09) Sundaralingam, S; Rajapaksha, S. KDelivering quality software to customer is the key objective of software industry. One of the essential fragment of life cycle of software is software testing. In software testing test automation is playing a major role. If test automation cannot be practiced in proper way the delivery of the software quality would impact directly and leads to loss of customer, which is a failure of business. Test automation has several problems which needs to address in each stage. Test automation cause several issues when execute test automation in a company. All these issues need to be handled by different people, therefore initially issues need to be identified and classified and then solve properly. This research is to identify the improvements to categorize the problems automatically and find the solution for the problem in test automation process and hence to practice the test automation in healthier way in order to achieve better software quality. Test automation issue are analyzed and the solutions are proposed. On which stage, the test automation is causing problems and how to solve them are recommend in this research, Test automation issues are categorized and under relevant category therefore issues can be solved speedily. The issues are passed as sentence and they are categorized under the relevant category to fix them quickly. The sentences are preprocessed and conducted feature selection using filter methods and predict under appropriate category. The issue has been cleaned in preprocess stage. Implemented LSTM base algorithm using filter method to categorize the issues. In this research an implementation to categorize test automation problems are formed. Recommendation and solutions are proposed on test automation which would aid to practice test automation in better way and that would leads to better software quality delivery.