Worker-Centric Design for Software Crowdsourcing: Towards Cloud Careers

Dave Murray-Rust (), Ognjen Scekic () and Donghui Lin ()
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Dave Murray-Rust: University of Edinburgh
Ognjen Scekic: Vienna University of Technology
Donghui Lin: Kyoto University

A chapter in Crowdsourcing, 2015, pp 39-50 from Springer

Abstract: Abstract Crowdsourcing is emerging as a compelling technique for the cost-effective creation of software, with tools such as ODesk and TopCoder supporting large scale distributed development. From the point of view of the commissioners of software, there are many advantages to crowdsourcing work—as well as cost, it can be a more scalable process, as there is the possibility of selecting from a large pool of expertise. From the point of view of workers, there is a different set of benefits, including choice of when and how to work, providing a means to build a portfolio, and a lower level of commitment to any particular employer. The crowdsourcing of software development—in common with some other activities such as design—represents an alternative to existing mechanisms that require skilled workers. However, if crowdsourcing were to replace traditional employmentTraditional employment for a significant proportion of software developers, the reduced levels of commitment between workers and commissioners could prove problematic for workers over time. In this paper, explore three areas of interest: (i) trust and reputationTrust and reputation development; (ii) team selectionTeam selection and team building; (iii) contextualisation of the workTeam work carried out. By drawing together work in these areas from the point of view of workers rather than commissioners, we highlight some of the incipient issues with the growth of crowdsourced labour. We also explore ways in which crowdsourcing of software development—and other skilled practices—differers from microtasking.

Keywords: Software Development; Minimum Wage; Reputation System; Career Ladder; Development Open Source Software (search for similar items in EconPapers)
Date: 2015
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DOI: 10.1007/978-3-662-47011-4_3

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