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Challenges and Issues in Requirements Elicitation for Based Systems: A Systematic Literature Review
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Author(s): Sehrish Aqeel (University of Malaysia Sarawak, Malaysia)and Nabeel Ali Khan (University of South Asia, Pakistan)
Copyright: 2025
Pages: 24
Source title:
Bridging Global Divides for Transnational Higher Education in the AI Era
Source Author(s)/Editor(s): Fawad Naseer (Beaconhouse International College, Pakistan), Cheryl Yu (Jimmy Choo Academy, UK), Rhytheema Dulloo (Hindustan Institute of Technology and Science, India), Munshi Muhammad Abdul Kader Jilani (Bangladesh Institute of Governance and Management, University of Dhaka, Bangladesh)and Momina Shaheen (University of Roehampton, UK)
DOI: 10.4018/979-8-3693-7016-2.ch020
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Abstract
The rapid evolution of technology, driven by changing user needs, makes satisfying every requirement increasingly challenging, especially in AI-based systems. Eliciting requirements for these systems is difficult due to the complexity of AI and the lack of proper guidance, often leading to issues during software development. Without a well-structured requirements elicitation process and appropriate tools, the automation and functioning of AI systems can suffer. This paper aims to outline strategies and factors essential for effective requirements elicitation in AI, ensuring adaptability even when user needs change during development. Our methodology involves both qualitative and quantitative analyses to assess the quality of existing studies. The findings show that proper strategies, guided by well-defined factors and tools, can effectively address the challenges in AI requirements elicitation. By adhering to these strategies, the development process can better accommodate evolving user needs while maintaining the integrity of AI systems.
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