Dunne, Jonathan (2018) Endless Data. PhD thesis, National University of Ireland Maynooth.
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Abstract
Small and Medium Enterprises (SMEs), as well as micro teams, face an uphill
task when delivering software to the Cloud. While rapid release methods
such as Continuous Delivery can speed up the delivery cycle: software quality,
application uptime and information management remain key concerns. This
work looks at four aspects of software delivery: crowdsourced testing, Cloud
outage modelling, collaborative chat discourse modelling, and collaborative
chat discourse segmentation. For each aspect, we consider business related
questions around how to improve software quality and gain more significant
insights into collaborative data while respecting the rapid release paradigm.
Item Type: | Thesis (PhD) |
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Keywords: | Endless; Data; |
Academic Unit: | Faculty of Science and Engineering > Research Institutes > Hamilton Institute |
Item ID: | 10366 |
Depositing User: | IR eTheses |
Date Deposited: | 04 Jan 2019 14:52 |
URI: | https://mu.eprints-hosting.org/id/eprint/10366 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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