http://dlib.iit.ac.lk/xmlui/handle/123456789/2299 2026-04-06T22:10:33Z 2026-04-06T22:10:33Z Withana, Indunil Farook, Cassim http://dlib.iit.ac.lk/xmlui/handle/123456789/453 2025-05-02T05:51:32Z 2019-01-01T00:00:00Z

IoT Generic Frameworks: What Needs to Improve Withana, Indunil; Farook, Cassim Internet of things (IoT) is one of the trending technologies which is available in the current technology world. The term IoT could be described as devices which could be connected via the internet. The number of devices in the world is increasing rapidly every minute. The world is moving towards IoT enabled smart cities. To control these devices, a generic framework is needed. This paper contains a review on technologies, techniques, and domain found out by ongoing research which introduces a generic framework to manage IoT devices.

2019-01-01T00:00:00Z Rathnayake, Raveen Savinda Poravi, Guhanathan http://dlib.iit.ac.lk/xmlui/handle/123456789/452 2025-05-02T05:52:05Z 2019-01-01T00:00:00Z

Review on Textual Data Mining for Reviewer Recommendation in Pull-Based Distributed Software Development Rathnayake, Raveen Savinda; Poravi, Guhanathan Distributed Software development process has dramatically changed over the last decade due to the integration of social collaborative development environment. The pull-based software development methodology made its mark in the open source distributed development as it is a convenient and effective system to organise collaborative contribution. Code reviews for software projects have been a best practice in software engineering. With the emerge of pull-based software development methodology, code reviewers faced difficulty in reviewing the contributions because of the higher number of incoming pull requests. In order to address this problem, reviewer recommendation systems have been implemented. In these systems, textual data mining techniques have been applied. This paper focuses on identifying the different approaches in terms of textual data mining used in the domain of the reviewer recommendations in pull-based software development and identifies their drawbacks and room for improvement. This paper contains the initial part of ongoing research and in the future, we hope to use this knowledge to come up with a solution that addresses the identified drawbacks and the identified improvements.

2019-01-01T00:00:00Z Piyarathna, Achala Poravi, Guhanathan http://dlib.iit.ac.lk/xmlui/handle/123456789/451 2025-05-02T05:52:46Z 2019-01-01T00:00:00Z

A Review On Language Specific Multi Document Similarity Detection Piyarathna, Achala; Poravi, Guhanathan Plagiarism is exploitation of others work and presents them as your own without referencing the original work. There are various detection tools that are being developed in order to detect these plagiarized content. Most of the available detection tools are based on the English language. Though there are language independent and language-specific detection tools, there is no comprehensive multi-document plagiarism detection mechanism. If the already available work on other language-specific tools and Similarity detection tools are analyzed and find what has been missing, it will be a stepping stone to continue research on this area. This paper contains the underlying piece of a continuous research, and later on, we plan to use this learning to present a comprehensive research on the subject area.

2019-01-01T00:00:00Z Rajapakshe, Umendra http://dlib.iit.ac.lk/xmlui/handle/123456789/417 2025-05-02T05:53:19Z 2019-01-01T00:00:00Z

Development Centric Player Feedback Analysis for Video Games: A Review Rajapakshe, Umendra Using player feedback found abundantly on the Internet to analyze and produce useful information for the development process of video games is a promising research area. A proper analysis of the feedback collected from the players will allow the developers to identify crucial features requested by the players as well as bugs and imbalances present in a video game. In the past, various approaches have been taken by researchers to create a solution to analyze the vast amount of player feedback available publicly such as on review platforms. The various approaches taken, and their findings are neither very clear nor properly documented considering the variations present in them. If the limitations and the findings of the existing work are properly analyzed and documented, it will assist in future researches in this domain. This paper presents an analysis of the existing work related to development centric video game player feedback analysis and is a result of ongoing research, by the end of this research we plan on implementing the various approaches explored and overcoming the limitations identified in this paper.

2019-01-01T00:00:00Z