• ISSN: 2010-023X (Print)
    • Abbreviated Title: Int. J. Trade, Economics and Financ.
    • Frequency: Bimonthly
    • DOI: 10.18178/IJTEF
    • Editor-in-Chief: Prof.Tung-Zong (Donald) Chang
    • Executive Editor: Ms. Cherry L. Chen
    • Abstracting/ Indexing:  ProQuest, Crossref, Electronic Journals Library , EBSCO, and Ulrich's Periodicals Directory
    • E-mail: ijtef@ejournal.net
IJTEF 2020 Vol.11(4): 77-82 ISSN: 2010-023X
DOI: 10.18178/ijtef.2020.11.4.670

Fairness Analysis in Goal-Oriented Requirements Selection

Hiroki Horita and Junji Noguchi
Abstract—Requirements analysis is an important step in business information system development. Goal-oriented requirements analysis is a powerful method that captures requirements to be satisfied in business information systems as goals and derives means for achieving goals or alternative means. The difficulty in this analysis is that it is difficult to analyze manually when the combination of goals is huge, and to take into account the preferences of the various stakeholders. It is difficult to satisfy the requirements of all stakeholders at the same time because preferences are different and trade-offs for each stakeholder. Therefore, there is a risk that the requirements of some stakeholders may be ignored. Therefore, in this paper, we propose a method using multi-objective optimization to take into account stakeholder preference and to make goal selection with emphasis on fairness. Our method performs a goal selection having both high utility and fairness of the entire stakeholders. We evaluated by a case study and showed the effectiveness.

Index Terms—Goal-oriented requirements analysis, fairness, business information systems, decision sciences.

H. Horita and J. Noguchi are with Ibaraki University, Ibaraki, Japan (e-mail: hiroki.horita.is@vc.ibaraki.ac.jp).


Cite: Hiroki Horita and Junji Noguchi, "Fairness Analysis in Goal-Oriented Requirements Selection," International Journal of Trade, Economics and Finance vol.11, no.4, pp. 77-82, 2020.

Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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