A FUZZY BASED APPROACH FOR EARLY REQUIREMENT PRIORITIZATION

Authors

  • Mohd Muqeem Mohd Muqeem Research Scholar Department of Computer Application Integral University Lucknow,India
  • Dr. Md. Rizwan Beg Professor ,Integral University,Lucknow 226026 ,India

DOI:

https://doi.org/10.24297/ijct.v15i2.566

Keywords:

Requirement Prioritization, Requirement Engineering, Elicitation, Fuzzy Inference system, Priority.

Abstract

The importance of the prioritization in commercial software development has been analyzed by many researchers. The gathered requirements are required to be put into an order of some priority. In other words we can say that there is a need to prioritize the requirements. It is evident that most of the approaches and techniques proposed in recent research to prioritize the requirements have not been widely adopted. These approaches are too complex, time consuming, or inconsistent and difficult to implement In this paper we propose a fuzzy based approach for requirement prioritization in which  requirement are prioritized in early phase of requirement engineering as post elicitation step. This category of prioritization is known as early requirement prioritization. The proposed fuzzy based approach considers the nature of requirements by modeling their attributes as fuzzy variables. As such, these variables are integrated into a fuzzy based inference system in which the requirements represented as input attributes and ranked via the expected value operator of a fuzzy variable.

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Author Biographies

Mohd Muqeem, Mohd Muqeem Research Scholar Department of Computer Application Integral University Lucknow,India

Myself Mohd Muqeem research scholar pursuing Ph.D in computer Science from integral univeristy,lucknow,india

Dr. Md. Rizwan Beg, Professor ,Integral University,Lucknow 226026 ,India

Department of CSE

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Published

2015-11-10

How to Cite

Muqeem, M., & Rizwan Beg, D. M. (2015). A FUZZY BASED APPROACH FOR EARLY REQUIREMENT PRIORITIZATION. INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY, 15(2), 6480-6490. https://doi.org/10.24297/ijct.v15i2.566

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Section

Research Articles