A Business Process Modelling and Notation Meta-Model Approach to Enhance Prioritization for Decision-Making in Requirement Engineering

Authors

  • Muhamad Idaham Umar Ong Faculty of Computer Systems and Software Engineering, University Malaysia Pahang, Pahang, Malaysia.
  • Mohamed Ariff Ameedeen IBM Centre of Excellence, University Malaysia Pahang, Pahang, Malaysia

Keywords:

Business Process, Business Process Modelling, Quantitative Criterion,

Abstract

It is has always been the main focus of requirements engineer in making sure a set of optimal requirements is prepared in development of a project. With the current issue of getting the desired result, engineers would prioritize the set of requirements and utilize this to produce a list of optimal requirements. This paper will discuss some introduction of the evolution of software requirements prioritization, some related works, approach of conducting the research and finally discussing the expected result of this research. This will be the first step in the effort of translating Business Process Modelling (BPM) into its meaningful value to be used as a criterion in prioritizing Business Process (BP). During prioritizing BP, modelling usually provide decision-maker with only outcome of producing qualitative criterion without the basis of any facts and figures. The idea is to be able to derive a quantitative criterion from a model through the use of meta-modelling. The outcome of this research should be able to justify the need of prioritizing requirements based on its root, and that is business process

References

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Published

2016-09-01

How to Cite

Umar Ong, M. I., & Ameedeen, M. A. (2016). A Business Process Modelling and Notation Meta-Model Approach to Enhance Prioritization for Decision-Making in Requirement Engineering. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 8(6), 109–112. Retrieved from https://jtec.utem.edu.my/jtec/article/view/1257

Issue

Vol. 8 No. 6: Emerging Technologies in Communication and Computer Engineering for Smart City Applications II

Section

Articles

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