Projects per year
Abstract
Mobile eHealth applications have become very popular, not just using mobile phones but also wearables, mobile AR/VR, and increasingly "smart houses" and "smart care" sensing and interaction facilities. However, a large majority of these solutions, despite early promise, suffer from a range of challenges including effort to develop, deploy and maintain; lack of end user acceptance; integration with other health systems; difficulty in tailoring to divergent users; lack of adequate feedback to developers; lack of sustainable adoption; and ultimately lack of success. In this MobileSoft vision paper we characterise these key issues from a Software Engineering perspective and present and discuss some approaches to mitigating them, building on our and others prior work.
Original language | English |
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Title of host publication | Proceedings - 2018 ACM/IEEE 5th International Conference on Mobile Software Engineering and Systems, MOBILESoft 2018 |
Subtitle of host publication | Gothenburg, Sweden 27-28 May 2018 |
Editors | Grace Lewis, Itai Segall |
Place of Publication | New York NY USA |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Pages | 219-223 |
Number of pages | 5 |
ISBN (Print) | 9781450357128 |
DOIs | |
Publication status | Published - 2018 |
Event | International Conference on Mobile Software Engineering and Systems 2018 - Gothenburg, Sweden Duration: 27 May 2018 → 28 May 2018 Conference number: 5th https://mobilesoftconf.org/2018/ (conference website) https://ieeexplore.ieee.org/xpl/conhome/8534999/proceeding (Proceedings) |
Conference
Conference | International Conference on Mobile Software Engineering and Systems 2018 |
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Abbreviated title | MOBILESoft 2018 |
Country/Territory | Sweden |
City | Gothenburg |
Period | 27/05/18 → 28/05/18 |
Internet address |
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Keywords
- behavioural requirements
- configuration andadaptation
- emotionoriented requirements
- living lab
- mobile eHealth applications
- model-driven engineering
- user feedback
Projects
- 1 Finished
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Domain-specific visual languages for big data analytics applications
Grundy, J., Abdelrazek, M. A., He, Q. & Hosking, J.
2/05/18 → 20/04/20
Project: Research