Investigating Factors Influencing Functional Elicitation in Requirement Engineering for IoT-Based Systems - Dataset]

This dataset presents a comprehensive collection of research articles on requirements engineering, encompassing various subtopics such as requirements specification, elicitation techniques, software development methodologies, and challenges in requirements management. The dataset includes metadata such as publication year, author details, research titles, objectives, problem statements, identified gaps, key findings, and contributions.The dataset aims to assist researchers, practitioners, and academicians in analyzing trends in software requirements engineering, identifying recurring challenges, and evaluating proposed methodologies. Common challenges captured in the dataset include ambiguity, incompleteness, inconsistency, and traceability issues in software requirements. Additionally, the dataset highlights innovative approaches incorporating artificial intelligence, natural language processing (NLP), and automated tools for requirements analysis.By offering a structured and curated dataset of scholarly insights, this resource facilitates systematic literature reviews, meta-analyses, and comparative studies in software engineering. The dataset is particularly valuable for those exploring agile methodologies, large-scale system development, automated requirements management, and emerging trends in software engineering.This dataset serves as a crucial reference for researchers, enabling them to identify research gaps, validate methodologies, and contribute to the ongoing evolution of requirements engineering practices.