@inproceedings{1f64668f2528463b833ebfd6b103e781,
title = "Automating the Classification of Requirements Data",
abstract = "This paper proposes a pilot approach based on the comparative analysis of supervised Machine Learning models coupled with basic Natural Language Processing concepts for classifying Functional and Non-Functional Requirements from huge collections of data relevant to the Requirements Engineering (RE) phase within software development. The publicly available PROMISE Software Engineering Repository dataset is used in the execution of this approach. Non-Functional Requirements are further classified into subclasses based on attributes they address since they are not directly related to the core functions of the concerned software. This overall research initiative helps to make the RE phase more efficient and reduces human effort in software development. It leverages Big Data in Software Engineering.",
keywords = "Comparative Analysis, Functional and Non-Functional Requirements, Machine Learning, NLP, Software Engineering",
author = "Dev Dave and Vaibhav Anu and Varde, {Aparna S.}",
note = "Funding Information: D. Dave has been funded by a Graduate Assistantship at Montclair State University. V. Anu acknowledges NSF grant 2050548. A. Varde acknowledges NSF grants 2018575 and 2117308. She is currently a visiting researcher at Max Planck Institute for Informatics, Saarbrucken, Germany during her sabbatical. Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Conference on Big Data, Big Data 2021 ; Conference date: 15-12-2021 Through 18-12-2021",
year = "2021",
doi = "10.1109/BigData52589.2021.9671548",
language = "English",
series = "Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "5878--5880",
editor = "Yixin Chen and Heiko Ludwig and Yicheng Tu and Usama Fayyad and Xingquan Zhu and Hu, {Xiaohua Tony} and Suren Byna and Xiong Liu and Jianping Zhang and Shirui Pan and Vagelis Papalexakis and Jianwu Wang and Alfredo Cuzzocrea and Carlos Ordonez",
booktitle = "Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021",
}