MURAL - Maynooth University Research Archive Library



    Endless Data


    Dunne, Jonathan (2018) Endless Data. PhD thesis, National University of Ireland Maynooth.

    [thumbnail of Thesis_JD_2018_10_09.pdf]
    Preview
    Text
    Thesis_JD_2018_10_09.pdf

    Download (3MB) | Preview

    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)
    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://mural.maynoothuniversity.ie/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

    Repository Staff Only (login required)

    Item control page
    Item control page

    Downloads

    Downloads per month over past year

    Origin of downloads