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Investigating Factors Influencing Functional Elicitation in Requirement Engineering for IoT-Based Systems - Dataset
- Citation Author(s):
-
NoorayisahbeMohd Yaacob
Strategic Information and Software Systems Lab (SISS), Center for Software Technology and ManagementAli Derhem QaidALGUMAIEStrategic Information and Software Systems Lab (SISS), Center for Software Technology and Management - Submitted by:
- ALI QAID AL-GUMAIE
- Last updated:
- Tue, 02/04/2025 - 09:14
- DOI:
- 10.21227/18hj-rq51
- Data Format:
- License:
28 Views- Categories:
- Keywords:
Abstract
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.
This dataset contains a structured collection of research articles related to requirements engineering, covering topics such as requirements specification, elicitation techniques, software development methodologies, and challenges in requirements management. The dataset is presented in tabular format with the following key fields:
Publication Year: The year the research article was published.
Author(s): List of authors contributing to the research paper.
Title/Publisher: The title of the research work and its publication source.
Research Objective: The primary goal and focus of the study.
Issues: challenges addressed by the research.
Problem Statement: A concise explanation of the research problem.
Identified Gap: The specific research gap the study aims to fill.
Results: Key findings of the study.
Contributions: Contributions of the research to the field of requirements engineering.
Recommended Tools:
Microsoft Excel/Google Sheets: For viewing and filtering dataset entries.
Python/R: For advanced data analysis and visualization.
Bibliographic Tools: such as Mendeley or Zotero for citation management.
Comments
Thank you for the opportunity to submit this dataset. This dataset provides valuable insights into the field of Software Requirements Engineering, particularly focusing on elicitation techniques, functional requirements, and emerging challenges in IoT-based software systems. It is curated to assist researchers, academicians, and practitioners in conducting systematic literature reviews, analyzing trends, and identifying research gaps. We welcome any feedback or suggestions for improvement.