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Thinging-Based Conceptual Modeling: Case Study of a Tendering System

Authors :
Sabah Al-Fedaghi
Esraa Haidar
Kuwait University
Source :
Journal of Computer Science, Journal of Computer Science, Science Publications, 2020, 16 (4), pp.452-466. ⟨10.3844/jcssp.2020.452.466⟩
Publication Year :
2020
Publisher :
Science Publications, 2020.

Abstract

In computer science, models are made explicit to provide formality and a precise understanding of small, contingent universes (e.g., an organization), as constructed from stakeholder requirements. Conceptual modeling is a fundamental discipline in this context whose main concerns are identifying, analyzing and describing the critical concepts of a universe of discourse. In the information systems field, one of the reasons why projects fail is an inability to capture requirements in a way that can be technically used to configure a system. This problem of requirements specification is considered to have deficiencies in theory. We apply a recently developed model called the Thinging Machine (TM) model which uniformly integrates static and dynamic modeling features to this problem of requirements specification. The object-Oriented (OO) approach to modeling, as applied in Unified Modeling Language, is by far the most applied and accepted standard in software engineering; nevertheless, new notions in the field may enhance and facilitate a supplementary understanding of the OO model itself. We aim to contribute to the field of conceptual modeling by introducing the TM model s philosophical foundation of requirements analysis. The TM model has only five generic processes of things (e.g., objects), in which genericity indicates generality, as in the generic Aristotelian concepts based on abstraction. We show the TM model s viability by applying it to a real business system.<br />15 pages, 16 figures

Details

ISSN :
15493636
Volume :
16
Database :
OpenAIRE
Journal :
Journal of Computer Science
Accession number :
edsair.doi.dedup.....a62aa0f2ebcb199c86f82c8f71916b42
Full Text :
https://doi.org/10.3844/jcssp.2020.452.466