IDSSE-M

Author:

Mora Manuel1ORCID,Wang Fen2ORCID,Gelman Ovsei3,Kljajic Miroljub4

Affiliation:

1. Universidad Autónoma de Aguascalientes, Mexico

2. Central Washington University, USA

3. Universidad Nacional Autónoma de México, Mexico

4. University of Maribor, Slovenia

Abstract

Decision-making Support Systems (DMSSs) have been traditionally designed and built by using mainly the Waterfall method, Prototyping-Evolutive, or Adaptive approach in the last three decades. In this paper, the authors argue that while such approaches have guided to DMSS developers, they have been also demanded for adding ad-hoc, non-standardized activities and extra techniques based on their own expertise due to the scarcity of open-access available information of them. Additionally, from a Software Systems Engineering (SSE) viewpoint, such approaches cannot be considered as well-defined methodologies. This article contributes to the research stream of SSE-based DMSS development methodologies by reporting an initial empirical evaluation of IDSSE-M, a free-access methodology for designing and building Intelligent Decision Support Systems. IDSSE-M extends and adapts Turban and Aronson’s DSS Building Paradigm (open access), and Saxena’s Decision Support Engineering Methodology (proprietary). IDSSE-M offers DMSS developers at least a moderate level of usefulness, compatibility, and results demonstrability, which leads to a positive, good and beneficial attitude of using the methodology.

Publisher

IGI Global

Subject

Modeling and Simulation,General Computer Science

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Food Security Policy Analysis Using System Dynamics;Research Anthology on Strategies for Achieving Agricultural Sustainability;2022-02-18

2. A review on PEEK composites – Manufacturing methods, properties and applications;Materials Today: Proceedings;2020

3. Food Security Policy Analysis Using System Dynamics;International Journal of Information Technologies and Systems Approach;2018-01

4. An Exploratory-Comparative Study of Implementation Success Factors for MSS/DMSS and MIS;International Journal of Information Technology & Decision Making;2017-11

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