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All Outputs (14)

Enhancing software fault prediction with deep neural networks: An empirical analysis of error-type metrics (2023)
Conference Proceeding
Phung, K., Ogunshile, E., & Aydin, M. E. (in press). Enhancing software fault prediction with deep neural networks: An empirical analysis of error-type metrics.

In the context of software quality assurance, Software Fault Prediction (SFP) serves as a critical technique to optimise costs and efforts by classifying software modules as faulty or not, using pertinent project characteristics. Despite considerable... Read More about Enhancing software fault prediction with deep neural networks: An empirical analysis of error-type metrics.

Modeling diseases with Stream X Machine (2021)
Conference Proceeding
Jayatilake, S., Ogunshile, E., Aydin, M., & Phung, K. (2021). Modeling diseases with Stream X Machine. In 2021 9th International Conference in Software Engineering Research and Innovation (CONISOFT) (61-68). https://doi.org/10.1109/CONISOFT52520.2021.00020

At present the world is moving towards alternative medicine and behavioural alteration for treating, managing, and preventing chronical diseases. With the individuality of the human beings has added more complexity in a domain where very high accurac... Read More about Modeling diseases with Stream X Machine.

A novel software fault prediction approach to predict error-type proneness in the Java programs using Stream X-Machine and machine learning (2021)
Conference Proceeding
Phung, K., Ogunshile, E., & Aydin, M. (2021). A novel software fault prediction approach to predict error-type proneness in the Java programs using Stream X-Machine and machine learning. In 2021 9th International Conference in Software Engineering Research and Innovation (CONISOFT) (168-179). https://doi.org/10.1109/CONISOFT52520.2021.00032

Software fault prediction makes software quality assurance process more efficient and economic. Most of the works related to software fault prediction have mainly focused on classifying software modules as faulty or not, which does not produce suffic... Read More about A novel software fault prediction approach to predict error-type proneness in the Java programs using Stream X-Machine and machine learning.

Towards a multilingual, cross-cultural and student-led software engineering lectures in UK Higher Education (2021)
Conference Proceeding
Ramachandran, R., & Ogunshile, E. (2021). Towards a multilingual, cross-cultural and student-led software engineering lectures in UK Higher Education. . https://doi.org/10.1145/3437914.3437978

This work attempts to present a novel approach to deliver software engineering lectorial sessions. The work primarily focuses on increasing student engagement by taking a multilingual and cross-cultural approach where students take the lead. The desi... Read More about Towards a multilingual, cross-cultural and student-led software engineering lectures in UK Higher Education.

An algorithm for implementing a minimal stream X-Machine model to test the correctness of a system (2020)
Conference Proceeding
Ogunshile, E., & Phung, K. (in press). An algorithm for implementing a minimal stream X-Machine model to test the correctness of a system. In 2020 8th International Conference in Software Engineering Research and Innovation (CONISOFT). https://doi.org/10.1109/CONISOFT50191.2020.00023

The rapid change of requirements has made software more complex and harder to maintain. Software testing tools play an important role in the Software Development Life Cycle. However, many technology companies have employed fast paced development of s... Read More about An algorithm for implementing a minimal stream X-Machine model to test the correctness of a system.

Covid-19 Care – A mobile application to help connect volunteers and vulnerable people in the community during the Covid-19 lockdown (2020)
Conference Proceeding
Ogunshile, E., Phung, K., & Odongo, S. (in press). Covid-19 Care – A mobile application to help connect volunteers and vulnerable people in the community during the Covid-19 lockdown. In 2020 8th International Conference in Software Engineering Research and Innovation (CONISOFT) (124-133). https://doi.org/10.1109/CONISOFT50191.2020.00027

Whenever the world is faced with a devastating outbreak of events, technology innovations have proven to be a go to solution that expedite the recovery process. We propose a mobile application rapidly developed as a contender to the TechForce19 innov... Read More about Covid-19 Care – A mobile application to help connect volunteers and vulnerable people in the community during the Covid-19 lockdown.

A focus on codemixing and codeswitching in Tamil speech to text (2020)
Conference Proceeding
Navaladi, L., Gandhi, I., Ofei, W., Chiurunga, Z., Mashat, A., Basandrai, A., …Ramachandran, R. (in press). A focus on codemixing and codeswitching in Tamil speech to text. In 2020 8th International Conference in Software Engineering Research and Innovation (CONISOFT) (154-165). https://doi.org/10.1109/CONISOFT50191.2020.00031

This paper attempts to develop an application that converts Tamil language speech to Tamil text, with a view to encourage usage and indirectly ensure linguistic preservation of a classical language. The application converts spoken Tamil to text witho... Read More about A focus on codemixing and codeswitching in Tamil speech to text.

qvm: A command line tool for the provisioning of virtual machines (2018)
Conference Proceeding
Ogunshile, E. (2018). qvm: A command line tool for the provisioning of virtual machines. In V. Méndez Muñoz, D. Ferguson, M. Helfert, & C. Pahl (Eds.), Proceedings of the 8th International Conference on Cloud Computing and Services Science (287-298). https://doi.org/10.5220/0006640902870298

The purpose of this paper is to create and demonstrate a command line utility that uses freely available cloud images—typically intended for deployment within public and private cloud environments—to rapidly provision virtual machines on a local serv... Read More about qvm: A command line tool for the provisioning of virtual machines.

Developing a power efficient private cloud ready infrastructure for small-medium sized enterprises (2018)
Conference Proceeding
Ogunshile, E. (2018). Developing a power efficient private cloud ready infrastructure for small-medium sized enterprises. In V. Méndez Muñoz, D. Ferguson, M. Helfert, & C. Pahl (Eds.), Proceedings of the 8th International Conference on Cloud Computing and Services Science (299-309). https://doi.org/10.5220/0006641002990309

Digital technology is advancing and the means of powering it so. For small-medium enterprise (SME) to remain competitive in today’s economic climate it is paramount they can respond to business challenges with agility and efficiency. Despite knowing... Read More about Developing a power efficient private cloud ready infrastructure for small-medium sized enterprises.

Viability of small-scale HPC cloud infrastructures (2018)
Conference Proceeding
Ogunshile, E. K. A. (2018). Viability of small-scale HPC cloud infrastructures. In V. Méndez Muñoz, D. Ferguson, M. Helfert, & C. Pahl (Eds.), Proceedings of the 8th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER (275-286). https://doi.org/10.5220/0006640802750286

RDMA networking has historically been linked closely and almost exclusively with HPC infrastructures. However, as demand for RDMA networking increases in fields outside of HPC, such as with Hadoop in the Big Data space, an increasing number of organi... Read More about Viability of small-scale HPC cloud infrastructures.

Leveraging cloud computing, virtualisation and solar technologies to increase performance and reduce cost in small to medium-sized businesses (2018)
Conference Proceeding
Ogunshile, E. K. A. (2018). Leveraging cloud computing, virtualisation and solar technologies to increase performance and reduce cost in small to medium-sized businesses. In V. Méndez Muñoz, D. Ferguson, M. Helfert, & C. Pahl (Eds.), Proceedings of the 8th International Conference on Cloud Computing and Services Science (310-321). https://doi.org/10.5220/0006641103100321

Cloud computing has been available for some time and is used in large organisations across the globe. We know that cloud computing is an economically viable concept in these large global organisations, however we do not understand sufficiently whethe... Read More about Leveraging cloud computing, virtualisation and solar technologies to increase performance and reduce cost in small to medium-sized businesses.

Generic cloud computing framework understanding and implementation (2016)
Conference Proceeding
Ogunshile, E. K. A. (2016). Generic cloud computing framework understanding and implementation. In J. Cardoso, D. Ferguson, V. M. Munoz, & M. Helfert (Eds.), Proceedings of the 6th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER (206-215). https://doi.org/10.5220/0005809102060215

The rate of adoption of cloud services is increasing year on year as organisations realise the many benefits that moving operations onto a cloud based platform provides. However, there is an argument to be made that with the multitude services that o... Read More about Generic cloud computing framework understanding and implementation.

A repeatable framework for best fit cloud solution (2016)
Conference Proceeding
Ogunshile, E. K. A. (2016). A repeatable framework for best fit cloud solution. In D. Ferguson, V. M. Munoz, M. Helfert, & J. Cardoso (Eds.), Proceedings of the 6th International Conference on Cloud Computing and Services Science. , (194-205). https://doi.org/10.5220/0005808401940205

To respond to business challenges with agility, modern businesses have to evolve quickly to stay competitive. Unfortunately, in many situations, proliferation of heterogeneous Information Technology shifts act as a barrier to innovations instead of a... Read More about A repeatable framework for best fit cloud solution.

A big data analysis system for use in vehicular outdoor advertising (2016)
Conference Proceeding
Ogunshile, E. K. A. (2016). A big data analysis system for use in vehicular outdoor advertising. In J. Cardoso, D. Ferguson, V. M. Munoz, & M. Helfert (Eds.), Proceedings of the 6th International Conference on Cloud Computing and Services Science (319-328). https://doi.org/10.5220/0005900303190328

Outdoor advertising is an old industry and the only reliably growing advertising sector other than online advertising. However, for it to sustain this growth, media providers must supply a comparable means of tracking an advertisement’s effectiveness... Read More about A big data analysis system for use in vehicular outdoor advertising.