Title: Multi-voting and binary search tree-based requirements prioritisation for e-service software project development

Authors: R. Vijay Anand; M. Dinakaran

Addresses: SITE, VIT University, Vellore 632 014, Tamilnadu, India ' SITE, VIT University, Vellore 632 014, Tamilnadu, India

Abstract: In an ever changing modern business environment, the movement and trends are so unpredictable and almost imposes challenges that are not viable for the professionals to resolve and fulfil the requirements at once. Prioritisation is one of the foremost concerns for any business professionals and individuals as it helps them to achieve better results in production management, and quality and assurance sites. In the past, various methods were proposed such as MoSCoW, business value based, technology risk based, Kano model, agile methods, walking skeleton and validated learning which suffered in addressing the problem of stakeholder conflict (SC). In this paper, we have proposed a framework model for e-service development using multi-voting and binary search tree to prioritise requirements with systematic probability sample selection of stakeholders. Relative weighting method was adopted to perform prioritisation in iteration process which helps the stakeholders to maximise their returns of investment (ROI).

Keywords: e-governance; requirements prioritisation; systematic probability sampling; multi-voting; binary search tree; iteration with relative weighting; response rate estimation.

DOI: 10.1504/EG.2017.086041

Electronic Government, an International Journal, 2017 Vol.13 No.2, pp.111 - 128

Received: 05 Dec 2016
Accepted: 11 Jan 2017
Published online: 21 Aug 2017 *

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