Requirements Engineering for Cloud Computing Adaptive Model

Authors

  • Kridanto Surendro School of Electrical Engineering and Informatics Bandung Institute of Technology, Indonesia
  • Aradea Aradea School of Electrical Engineering and Informatics Bandung Institute of Technology, Indonesia
  • Iping Supriana School of Electrical Engineering and Informatics Bandung Institute of Technology, Indonesia

DOI:

https://doi.org/10.32890/jict2016.15.2.1

Keywords:

requirements engineering, adaptive model, cloud computing, goal-oriented, capability maturity model

Abstract

The easy access and flexibility provided by cloud computing have made various types of organizations use this technology as an alternative solution. However, the decision to use the cloud technology sometimes ignores the basic aspects related to the understanding of its compliance with the characteristics of the organization. Thus, many advantages of the adoption of the technology do not align with the needs. This paper discusses the requirements engineering of the alignment of the organizational characteristics and the cloud computing technology in order to create the adaptive ability to guide strategic-business driven organizations. The model proposed in this article is formulated based on three views: architectural, alignment, and adaptive, by employing the Goal-Oriented Requirements Engineering. As a case study, the model is applied to cloud computing for university. The architectural view can translate the environmental characteristics of organizations through goal decomposition into detailed needs. Meanwhile, the alignment view can meet the implementation, so the dynamic adaptive ability can be realized through the adaptivity view.The mechanism of our proposed model can cover the adaptation needs before the migration (pre-migration), during the migration, and after the migration (post-migration).

 

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Published

28-11-2016

Issue

Vol. 15 No. 2 (2016): Journal of Information and Communication Technology (JICT) Vol.15, No.2, December 2016

Section

Articles

How to Cite

Surendro, K., Aradea, A., & Supriana, I. (2016). Requirements Engineering for Cloud Computing Adaptive Model. Journal of Information and Communication Technology, 15(2), 1-17. https://doi.org/10.32890/jict2016.15.2.1

Research impact

Harvested 2026-09-06
7 citations, from OpenAlex — the highest of the sources checked

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Identifiers DOI 10.32890/jict2016.15.2.1 OpenAlex W2886397980 Semantic Scholar CorpusID 70091363

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