Title: E-voting system: the pathway to free and fair election in Nigeria

Authors: Adesola Falade; Ayodele A. Adebiyi; Charles K. Ayo; Marion Adebiyi; Olatunji Okesola

Addresses: Department of Computer and Information Sciences, Covenant University, Ota, Nigeria ' Department of Computer and Information Sciences, Covenant University, Ota, Nigeria; Department of Computer Science, Landmark University, Omu-Aran, Nigeria ' Department of Computer and Information Sciences, Covenant University, Ota, Nigeria ' Department of Computer and Information Sciences, Covenant University, Ota, Nigeria; Department of Computer Science, Landmark University, Omu-Aran, Nigeria ' Department of Computational Sciences, The Technical University, Ibadan Nigeria

Abstract: Voting is a critical component of any election. In most developing countries, this process is usually marred with multiple irregularities such as falsification of results, identity theft, stolen of ballot boxes, multiple voting and electoral fraud among others. This research aimed at solving these multifaceted problems associated with manual-based voting processes by using agile development and components-based software engineering (CBSE) principles to evolve a usable electronic voting system that can be used to conduct national election and any other election in the country. This will enhance and guarantee the credibility of the electoral processes and show a true reflection of the wishes of the people. The system was implemented using Visual Studio .Net and Microsoft SQL Server with attendant benefits of increased level of participation by the electorate, drastic cost reduction in organising election, voter's convenience, and faster release of election results.

Keywords: electronic voting machine; EVM; i-voting; m-voting; e-voting; k-voting; e-government; components-based software engineering; CBSE; Independent National Electoral Commission; INEC; Nigeria.

DOI: 10.1504/EG.2019.102578

Electronic Government, an International Journal, 2019 Vol.15 No.4, pp.439 - 452

Available online: 16 May 2019 *

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