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 contains social network measures, requirements attributes and project effectiveness metrics from a sample of 255 open source software projects housed in GitHub.
The General Data Protection Regulation (GDPR), adopted in 2018, profoundly impacts information processing organizations as they must comply with this regulation. In this research, we consider GDPR-compliance as a high-level goal in software development that should be addressed at the offset of software development, meaning during requirements engineering (RE). In this work, we hypothesize that Natural Language Processing (NLP) can offer a viable means to automate this process.
This is the data analysis done for the paper titled "The Effects of Human Aspects on the Requirements Engineering Process: A Systematic Literature Review" (submitted to IEEE Transcations on Software Engineering).
