Research Publications Authored by SLIIT Staff

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This collection includes all SLIIT staff publications presented at external conferences and published in external journals. The materials are organized by faculty to facilitate easy retrieval.

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    PublicationEmbargo
    Task and Process Capturing Toolkit using GUI Automation
    (IEEE, 2022-06-27) Perera, R. L; Bellanthudawa, H. P; Hevavitharana, N. D; Ariyasinghe, K. M; Wickramarathne, J; Perera, J
    Automation is one of the best ways to make easier everyone's day-to-day life. When considering the industry, if someone could be able to automate the mechanism of solving computer software issues, that will be helpful to every company. Because most companies are facing difficulties when it comes to giving IT support. Some companies are suffering from a lack of IT supporters because they have to solve the same problem on different computers at the same time. This most likely reduces the efficiency of the company and affects its performance as well. Without the proper knowledge of technology, employees tend to get a lot of technical issues while working with the technology. Here comes the opportunity to automate the IT-related problem-solving mechanism. That will save a lot of time and increase the company's efficiency as well. While carrying out the background research we thought, by automating the IT-related problem it will reduce the allocation of human power and that will directly affect company efficiency. The research team came up with the idea of creating a software product that can export an executable file by capturing selected tasks of the user's screen and its' relevant processes. Task and process capturing toolkit is a software product called the “ClickMe toolkit”. It can capture relevant processes that are happening in any computer which runs on Windows 10 platform, then make a script called “ClickMe script”, and convert it into an executable file. It can be run on any Windows 10 Platform.
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    PublicationOpen Access
    Knowledge Management framework for the supervision of IT postgraduate research in Sri Lanka
    (Springer, Singapore, 2022) Fernando, W. M. J. H; Gamage, M. P. A. W
    The private sector higher education industry is increasingly attracting a knowledge-based community that depends critically on Knowledge Management (KM) and Knowledge Sharing (KS) activities to expand the quality of supervising postgraduate research students. Using the KM approach to share good research supervision knowledge will help junior research supervisors to conduct quality research with students and thereby help the supervision process to be more successful. The objective of this study is to suggest a conceptual framework that fits in the supervision process. This is conducted to investigate how KM and Information Technology (IT) can be used to develop a model for the supervision process. The framework highlights the critical KM activities in the research supervision process, and it is based on the Task/Technology Fit theory. Using this framework, the knowledge of the more experienced supervisors will be captured and used by junior supervisors in their supervision process.