Kesavulu, Manoj ORCID: 0000-0001-5505-9593, Helfert, Markus ORCID: 0000-0001-6546-6408 and Bezbradica, Marija ORCID: 0000-0001-9366-5113 (2017) A usage-based data extraction framework for cloud-based application - an human-computer interaction approach. In: International Conference on Computer-Human Interaction Research and Applications (CHIRA), 31 Oct - 2 Nov 2017, Madeira, Portugal. ISBN 978-989-758-267-7
Abstract
Features or functionalities provided by cloud-based applications are accessed by users through various interfaces
such as web browser, mobile app, and command line interface. Yet for monitoring cloud-based applications,
software developers and researchers have focused on web browsers. Software updates are provided
for such applications based on the data acquired from the cloud monitoring components but usage data of the
cloud application features are difficult to extract in a cloud environment as the usage data is spread across the
interfaces on the front-end and the back-end. In this paper, we focus on the usage of the cloud application
features from the user perspective and how to extract these data in a cloud environment. We define six criteria
for the user-level usage data, analyse the existing usage data extraction techniques and propose a usage data
extraction framework adhering to the defined criteria.
Metadata
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Event Type: | Conference |
Refereed: | Yes |
Uncontrolled Keywords: | Usage Data; Data Extraction; Application Features; Functionality; Cloud, Software-as-a-Service (SaaS); User Behaviour |
Subjects: | UNSPECIFIED |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing Research Initiatives and Centres > Lero: The Irish Software Engineering Research Centre Research Initiatives and Centres > ADAPT |
Published in: | Holzinger, Andreas, Plácido da Silva, Hugo and Helfert, Markus, (eds.) Proceedings of the International Conference on Computer-Human Interaction Research and Applications CHIRA. 1. Scitepress. ISBN 978-989-758-267-7 |
Publisher: | Scitepress |
Official URL: | https://doi.org/10.5220/0006512700850092 |
Copyright Information: | © 2017 The Authors |
Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
Funders: | Science Foundation Ireland grant 13/RC/2094, European Regional Development Fund through the Southern & Eastern Regional Operational Programme |
ID Code: | 22434 |
Deposited On: | 02 Jul 2018 13:40 by Marija Bezbradica . Last Modified 28 Mar 2022 12:04 |
Documents
Full text available as:
Preview |
PDF
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
247kB |
Downloads
Downloads
Downloads per month over past year
Archive Staff Only: edit this record