Requirements Elicitation and Modelling of Artificial Intelligence Systems: An Empirical Study

Khlood Ahmad, Mohamed Abdelrazek, Chetan Arora, John Grundy, Muneera Bano

2023

Abstract

Artificial Intelligence (AI) systems have gained significant traction in the recent past, creating new challenges in requirements engineering (RE) when building AI software systems. RE for AI practices have not been studied much and have scarce empirical studies. Additionally, many AI software solutions tend to focus on the technical aspects and ignore human-centered values. In this paper, we report on a case study for eliciting and modeling requirements using our framework and a supporting tool for human-centred RE for AI systems. Our case study is a mobile health application for encouraging type-2 diabetic people to reduce their sedentary behavior. We conducted our study with three experts from the app team – a software engineer, a project manager and a data scientist. We found in our study that most human-centered aspects were not originally considered when developing the first version of the application. We also report on other insights and challenges faced in RE for the health application, e.g., frequently changing requirements.

Paper Citation

in Harvard Style

Ahmad K., Abdelrazek M., Arora C., Grundy J. and Bano M. (2023). Requirements Elicitation and Modelling of Artificial Intelligence Systems: An Empirical Study. 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 126-137. DOI: 10.5220/0011842300003464

in Bibtex Style

@conference{enase23,
author={Khlood Ahmad and Mohamed Abdelrazek and Chetan Arora and John Grundy and Muneera Bano},
title={Requirements Elicitation and Modelling of Artificial Intelligence Systems: An Empirical Study},
booktitle={Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,},
year={2023},
pages={126-137},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011842300003464},
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 - Requirements Elicitation and Modelling of Artificial Intelligence Systems: An Empirical Study
SN - 978-989-758-647-7
AU - Ahmad K.
AU - Abdelrazek M.
AU - Arora C.
AU - Grundy J.
AU - Bano M.
PY - 2023
SP - 126
EP - 137
DO - 10.5220/0011842300003464
PB - SciTePress