Software Engineering Teaching Unit: Recent submissions

Now showing items 1-20 of 23

Leveraging Artificial Intelligence for Ethical Social Media Influencer Communication

Hewapathirana, I. U. (2024)

This chapter explores the connections between artificial intelligence (AI) and the ethical dimensions of influencer communication on social media. The ethical aspects are evaluated according to the criteria outlined in the ...
TourismXplorer: Interactive Dashboard for Data-Driven Decision-Making in Sri Lanka’s Tourism Industry

Thilakarathna, W. A. S. M. S.; Hewapathirana, I. U. (2024)

Abstract: The tourism industry is a critical component of Sri Lanka’s economy, necessitating advanced tools for data-driven decision-making to enhance strategic planning and operational efficiency. This study presents the ...
Development of a machine learning model for air quality forecasting: leveraging long-term meteorological data analysis to predict air quality index in Colombo District

Rathnayaka, R.M.S.I.; Hewapathirana, I. U. (2024)

Air quality is a critical aspect of environmental health, directly impacting individuals and the broader ecosystem. Therefore, real-time monitoring and understanding the factors influencing air quality are crucial. The ...
Deep learning-based correctness assessment for the Tadasana (Mountain Pose) Yoga Asana

Gayan, V.G.N.; Hewapathirana, I. U. (2024)

Yoga has become increasingly popular worldwide, but practicing without proper guidance can lead to incorrect posture alignment, reducing effectiveness, and increasing injury risk. This research aimed to address this issue ...
Empowering influence discovery: Utilizing machine learning for social media influencer identification

Devyanjalee, D.D.W.N.; Hewapathirana, I. U. (2024)

In today’s dynamic digital landscape, influencer marketing has become a cornerstone of marketing strategies, leveraging social media platforms to engage with audiences. Accurately identifying influencers within social media ...
A Case Study in Financial Fraud Detection using Big Data Analytics

Boteju, W. P. A.; Hewapathirana, I. U. (2021)

The financial industry is currently undergoing digital transformations across products, services and business models. This digitization is aimed at automating most of the manual financial transactions and other relevant ...
A Systematic Investigation on the Effectiveness of the Tabbert Model for Credit Card Fraud Detection

Hewapathirana, Isuru Udayangani; Kekayan, Nanthakumar; Diyasena, Deshanjali (2022)

As a result of rapid digitisation, online transactions using credit cards have become popular. With this, fraudulent activities have also increased considerably. Although many supervised and unsupervised machine learning ...
A Review of Recent Trends in Sri Lankan Social Media Analytics Research

Hewapathirana, Isuru Udayangani; Sandaruwani, M. D. (2023)

Due to industry demands and massive applications, the social media landscape is rapidly expanding. However, in Sri Lanka, analyzing social media data is still considered a young research topic. This article examines the ...
Navigating the age of AI influence: A systematic literature review of trust, engagement, efficacy and ethical concerns of virtual influencers in social media

Hewapathirana, Isuru Udayangani; Perera, Nipuni (Hewapathirana IU, Perera N. (2024). Navigating the age of AI influence: A systematic literature review of trust, engagement, efficacy and ethical concerns of virtual influencers in social media. Journal of Infrastructure, Policy and Development. 8(8): 6352. https://doi.org/10.24294/jipd.v8i8.6352, 2024)

This systematic literature review (SLR) delves into the realm of Artificial Intelligence (AI)-powered virtual influencers (VIs) in social media, examining trust factors, engagement strategies, VI efficacy compared to human ...
Modeling and Forecasting Mortality in Sri Lanka

Aberathna, Wasana; Alles, Lakshman; Wickremasinghe, W. N.; Hewapathirana, Isuru (2014)

The purpose of this study is to develop sex-specific mortality estimation models using historical mortality data for Sri Lanka, based on the statistical time series techniques attributed to Lee and Carter (1992). Historical ...
Change detection in dynamic attributed networks

Hewapathirana, I.U. (2018)

A network provides powerful means of representing complex relationships between entities by abstracting entities as vertices, and relationships as edges connecting vertices in a graph. Beyond the presence or absence of ...
Change detection in noisy dynamic networks: a spectral embedding approach

Hewapathirana, I.U.; Lee, Dominic; Moltchanova, Elena; McLeod, Jeanette (2020)

Change detection in dynamic networks is an important problem in many areas, such as fraud detection, cyber intrusion detection and healthcare monitoring. It is a challenging problem because it involves a time sequence of ...
Combining Information from Multiple Views for Vertex-Based Change Detection in Dynamic Networks: A Comparative Study

Hewapathirana, I.U. (2022)

In the majority of previous network-based change detection methods, entities are often represented as vertices in an undirected graph with weighted edges describing the relationships between entities. However, in most ...
Utilizing Prediction Intervals for Unsupervised Detection of Fraudulent Transactions: A Case Study

Hewapathirana, I.U. (2022)

Money laundering operations have a high negative impact on the growth of a country’s national economy. As all financial sectors are increasingly being integrated, it is vital to implement effective technological measures ...
A Review on Current Trends and Applications of Social Media Research in Sri Lanka

Hewapathirana, I.U. (2023)

Standard research on social media and its applications has been widely disseminated in developed nations. But in Sri Lanka, research in this area has been released far less frequently. However, social media usage in the ...
Analysis of Employee Satisfaction using Artificial Neural Networks: A Case Study in the Information Technology Industry in Sri Lanka

Hewapathirana, I.U.; Thilakarathna, W.A.S.M.S. (2023)

Job satisfaction is vital to the prosperity of all industries, including the information technology (IT) sector. This research represents the pioneering attempt to employ Artificial Neural Networks (ANNs) for the purpose ...
Advancing tourism demand forecasting in Sri Lanka: evaluating the performance of machine learning models and the impact of social media data integration

Hewapathirana, Isuru Udayangani (Emerald Publishing Limited, 2023)

Purpose – This study explores the pioneering approach of utilising machine learning (ML) models and integrating social media data for predicting tourist arrivals in Sri Lanka. Design/methodology/approach – Two sets of ...
DevOps Adoption in Software Development Organizations: A Systematic Literature Review

Karunarathne, M.A.W.; Wijayanayake, W. M. J. I.; Prasadika, A. P. K. J. (Institute of Electrical and Electronics Engineers (IEEE), 2024)

In today's IT industry, where many software development organizations work for increased software quality, and improved customer satisfaction, the traditional approaches to software development and operations are becoming ...
The Impact of Teleworking on Sri Lankan University Internship Programs: Systematic Review of Literature

Abeygunawardhana, D.; Wijayanayake, J.; Prasadika, J. (Institute of Electrical and Electronics Engineers (IEEE), 2024)

The popularity of the Work from Home paradigm has seen a significant surge in relevance and importance, due to the COVID-19 pandemic and its associated quarantine measures. This shift towards teleworking has influenced the ...
Factors Influencing Mobile App User Experience: An Analysis of Education App User Reviews

Arambepola, N.; Munasinghe, L.; Warnajith, N. (Institute of Electrical and Electronics Engineers (IEEE), 2024)

In the competitive digital world, user reviews considered as the most vital source of user feedback, provide valuable insights that reflect the success of software applications in terms of user experience (UX). As ...

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