A Design Theory for Student Self-service University Management System

Muhamad Idaham, Umar Ong and M. A., Ameedeen (2020) A Design Theory for Student Self-service University Management System. In: Journal of Physics: Conference Series, The 2nd Joint International Conference on Emerging Computing Technology and Sports (JICETS) , 25-27 November 2019 , Bandung, Indonesia. pp. 1-10., 1529 (052052). ISSN 1742-6596

[img]
Preview
Pdf
A Design Theory for Student Self-service University.pdf
Available under License Creative Commons Attribution.

Download (1MB) | Preview

Abstract

The role of Information System Design Theory in software development is enormous. With the help of design theory, developers could estimate what the system will be and what the system will do. The focus of the article is to establish the design theory of a self-service university management system. The objectives of this publication are to identify the most relevant publication that will act as a guideline to generate the design theory artefacts and to establish the artefacts which will consists of three components named kernel theories, meta-requirements and meta-design for the stated system. The system scope will be focused on enabling self-service functions. Validation will be done through a traceability matrix between the meta-requirement and meta-design against the real-world user requirement. The significant of this article is to provide an initial set of design theory artefacts to be utilization software developer in development or evaluation of a University Management System.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Information System Design Theory, software development, Student Self-service University Management System
Subjects: Q Science > QA Mathematics > QA76 Computer software
Faculty/Division: Faculty of Computing
Depositing User: Mr. Muhamad Idaham Umar Ong
Date Deposited: 14 Oct 2021 08:06
Last Modified: 14 Oct 2021 08:06
URI: http://umpir.ump.edu.my/id/eprint/32410
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item