Citation

Vijay, Julian and Lim, Tek Yong (2026) The Development of Artificial Intelligence-Driven Requirement Management System. In: 2026 23rd International Joint Conference on Computer Science and Software Engineering (JCSSE). Institute of Electrical and Electronics Engineers Inc., pp. 357-362. ISBN 979-833158200-5

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Abstract

Requirement management is a fundamental process in software engineering. However, the traditional way of requirement management can result in unclear, ambiguous, inconsistent, and redundant requirements that can cause rework, cost and schedule overruns. In this paper, we present the design and development of an artificial intelligence-driven requirement management system that utilizes natural language processing techniques to enhance the clarity, completeness, and consistency of software requirements. Our proposed system provides support to several requirement management processes such as defect detection, conflict detection, and impact analysis. We conducted a survey to understand the current challenges and problems faced during requirement management. Then, we designed and developed the proposed system. The paper presents an Agile software development methodology to develop the proposed system that can accommodate continuous improvement and feedback from users. Our testing demonstrate that our proposed system can improve the clarity and traceability of software requirements throughout the software development life cycle.

Item Type:	Book Section
Uncontrolled Keywords:	Impact analysis, conflict detection
Subjects:	Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions:	Faculty of Computing and Informatics (FCI)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	31 Jul 2026 06:22
Last Modified:	31 Jul 2026 06:22
URII:	http://shdl.mmu.edu.my/id/eprint/16411

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