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Crowdsourcing Software Development

Autor(en):
Fitzgerald, Brian [DBLP]
Zusammenfassung
Crowdsourcing is emerging as an alternative outsourcing strategy which is gaining increasing attention in the software engineering community. However, crowdsourcing software development involves complex tasks which differ significantly from the micro-tasks that can be found on crowdsourcing platforms such as Amazon Mechanical Turk— the latter are much shorter in duration, and typically very simple and do not involve any task interdependencies. To achieve the potential benefits of crowdsourcing in the software development context, companies need to understand how this strategy works, what challenges arise, and what factors might affect crowd participation. Research to date on crowdsourcing software development has tended to focus on the ‘crowd’ or the technical platform, with little research from the perspective of the customer who is seeking to leverage the crowdsourcing development model. The findings from an in-depth case study of crowd-sourcing software development in a Fortune 500 company are augmented with an analysis of over 13,000 crowdsourcing competitions over a ten-year period on the Topcoder crowdsourcing platform, one of the most popular platforms for software development, are drawn on to evaluate the effectiveness of crowdsourcing in a software development context.
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Fitzgerald, B., (2018). Crowdsourcing Software Development. In: Tichy, M., Bodden, E., Kuhrmann, M., Wagner, S. & Steghöfer, J.-P. (Hrsg.), Software Engineering und Software Management 2018. Bonn: Gesellschaft für Informatik. (S. 23-24).
@inproceedings{mci/Fitzgerald2018,
author = {Fitzgerald, Brian},
title = {Crowdsourcing Software Development},
booktitle = {Software Engineering und Software Management 2018},
year = {2018},
editor = {Tichy, Matthias AND Bodden, Eric AND Kuhrmann, Marco AND Wagner, Stefan AND Steghöfer, Jan-Philipp} ,
pages = { 23-24 },
publisher = {Gesellschaft für Informatik},
address = {Bonn}
}
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Mehr Information

ISBN: 978-3-88579-673-2
ISSN: 1617-5468
Datum: 2018
Sprache: en (en)
Typ: Text/Conference Paper
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  • P279 - Software Engineering und Software Management 2018 [65]

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Über uns | FAQ | Hilfe | Impressum | Datenschutz

Gesellschaft für Informatik e.V. (GI), Kontakt: Geschäftsstelle der GI
Diese Digital Library basiert auf DSpace.