Volume 18 Number 4 (Nov. 2023)
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JSW 2023 Vol.18(4): 200-208
doi: 10.17706/jsw.18.4.200-208

AI Techniques in Requirements Elicitation

Raha Alkabour*, Omer Alrwais
Monika Ciesielkiewicz1,*, Claire F. Bonilla2, and Carlos Olave-Lopez-de-Ayala3
1. School of Education, Computense Unversity of Madrid, Spain
2. Department of Computer Science, UDIMA—Universidad a Distancia de Madrid, Spain
3. School of Ecomomics, University of Valencia, Spain
Email: monikacies@gmail.com(M.C.); clairefbonilla@gmail.com(C.F.B.); carolode@alumni.uv.es(C.O.-L.A.)
*Corresponding author

Information Systems Department, King Saud University, Riyadh, Saudi Arabia.

Abstract—Requirement elicitation is known as the most important step in the software development process. The survey of the literature reveals that the researchers used different tools and methods for the requirement elicitation process. However, there are still many challenges in implementing the requirements elicitation activity, such as the poor communication between the user and analyst. Unfortunately, these problems may result in a futile outcome. Artificial intelligence (AI) methods may help to reduce these challenges. In general, AI is defined as the process of executing procedures on data without human intervention. The advantage of AI methodologies in requirements elicitation is that they are very interactive and intelligent. This paper will focus on exploring artificial intelligence techniques in requirement elicitation and provide a comparison between those techniques in terms of the method or technique used in the study, the benefit of the technique, the result, and the future work of the authors.

Index Terms—Artificial intelligence, requirements elicitation, requirements engineering, software development


Cite: Raha Alkabour*, Omer Alrwais, "AI Techniques in Requirements Elicitation," Journal of Software vol. 18, no. 4, pp. 200-208, 2023.

Copyright @ 2023 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)

General Information

ISSN: 1796-217X (Online)
Frequency:  Quarterly
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, CNKIGoogle Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsweditorialoffice@gmail.com
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