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A Use Case based requirements specification approach to support the development of a rehabilitation system for CVD patients: The PATHWAY Project

Zampognaro, Paolo, Buys, Roselien orcid logoORCID: 0000-0001-8379-3971, Walsh, Deirdre orcid logoORCID: 0000-0003-4255-299X, Woods, Catherine orcid logoORCID: 0000-0002-0892-6591 and Melillo, Fabio (2017) A Use Case based requirements specification approach to support the development of a rehabilitation system for CVD patients: The PATHWAY Project. In: IEEE Conference: ICTS4eHealth 2017, 3-6 July, 2017, Heraklion, Greece.

Abstract
Over the last years, due to the emergency of new challenges in the area of the health care domain, particular em- phasis was dedicated to the application of ICT in this sector. This, in turn, stimulated the analysis over the software requirements engineering techniques and their applicability in this context. The efficient application of the use-case based technique, within the PATHway project user requirements elicitation and formalisation activities, is here described. Efficiency has been reached by means of (i) a light and progressive introduction of UCs (Use Cases) instrument to the clinical teams by exploiting informal stories (i.e. anecdotes), (ii) a careful evaluation of the best UC description structure and, finally, (iii) an introduction of co-design moments with the final users (i.e. the patients) to speed up the UCs adaptation by the two main involved teams (i.e. technical team and clinical team). The qualitative results demonstrate advantages and limits of such technique applied to the context of cardiovascular home rehabilitation. Additionally the study has highlighted a smooth integration between the distinct phases of the requirements engineering process which can lead, in general, to a return of investment.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:Requirements Engineering; Use Case; Cardiovascular Disease; Hospital; Unified modeling language
Subjects:Medical Sciences > Health
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Science and Health > School of Health and Human Performance
Research Initiatives and Centres > INSIGHT Centre for Data Analytics
Published in: Computers and Communications (ISCC), 2017 IEEE Symposium on. . IEEE Computer Society.
Publisher:IEEE Computer Society
Official URL:http://dx.doi.org/10.1109/ISCC.2017.8024538
Copyright Information:© 2017 IEEE
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:21962
Deposited On:05 Sep 2017 15:01 by Giulia Migliorato . Last Modified 25 Nov 2019 16:08
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