A Goal-Oriented Requirements Engineering Approach for IoT Applications
Deepika Prakash, Naveen Prakash
2023
Abstract
Requirements Engineering of IoT systems has the twin objectives of specifying functionality as well as communication objectives of the system. Existing goal-oriented and use case approaches were not developed to bring out communication objectives of systems. Consequently, when these techniques are applied then communication remains subordinate to functionality. We integrate both objectives in the notion of a GOT, GOal of Things. The GOT model represents the structure of GOTs and an instance of this model is the requirements specification of an IoT. The accompanying GOT Process provides three ways of GOT reduction. We illustrate its application to an Accident Reporting System. The GOT proposal is compared with a use-case oriented approach and a goal oriented approach.
DownloadPaper Citation
in Harvard Style
Prakash D. and Prakash N. (2023). A Goal-Oriented Requirements Engineering Approach for IoT Applications. In Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE, ISBN 978-989-758-647-7, SciTePress, pages 581-588. DOI: 10.5220/0011982500003464
in Bibtex Style
@conference{enase23,
author={Deepika Prakash and Naveen Prakash},
title={A Goal-Oriented Requirements Engineering Approach for IoT Applications},
booktitle={Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,},
year={2023},
pages={581-588},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011982500003464},
isbn={978-989-758-647-7},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,
TI - A Goal-Oriented Requirements Engineering Approach for IoT Applications
SN - 978-989-758-647-7
AU - Prakash D.
AU - Prakash N.
PY - 2023
SP - 581
EP - 588
DO - 10.5220/0011982500003464
PB - SciTePress