Enhancing Requirement Engineering Accuracy with Interactive Digital Twin Model

Requirement engineering (RE) often suffers from incomplete, ambiguous or inconsistent specifications, which can lead to costly rework or project failure. Recent advances in Digital Twins (DTs) – virtual replicas of physical systems with bidirectional data links – offer new ways to improve RE by simulating, visualizing and testing requirements in real time. An interactive digital twin extends this concept by providing a real-time, user-driven interface (often 3D or mixed-reality) that allows stakeholders to explore system behavior and validate requirements collaboratively. This paper reviews recent literature (2022–2025) on the use of interactive DT models to enhance RE accuracy. We first outline common RE challenges and show how digital twins are defined and made interactive. We then survey studies demonstrating DTs for requirement elicitation, conversion, validation, traceability and stakeholder communication. Notably, Gu et al. demonstrate that a DT-driven requirement-conversion framework improved conversion accuracy over conventional methods, while Stary et al. propose “Digital Process Twins” to involve users in iterative requirement elicitation and design exploration. We synthesize findings on benefits and limitations (e.g. improved stakeholder alignment vs. complexity of DT implementation) and identify gaps such as limited empirical evaluation and tool support. Finally, we suggest future research directions, including standardized interactive DT platforms for RE, integration with AI assistants, and richer traceability mechanisms