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Markov Decision Theory-Based Crowdsourcing Software Process Model

Markov Decision Theory-Based Crowdsourcing Software Process Model
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Author(s): Kamalendu Pal (City, University of London, UK)
Copyright: 2020
Pages: 22
Source title: Crowdsourcing and Probabilistic Decision-Making in Software Engineering: Emerging Research and Opportunities
Source Author(s)/Editor(s): Varun Gupta (University of Beira Interior, Covilha, Portugal)
DOI: 10.4018/978-1-5225-9659-2.ch001

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Abstract

The word crowdsourcing, a compound contraction of crowd and outsourcing, was introduced by Jeff Howe in order to define outsourcing to the crowd. It is a sourcing model in which individuals or organizations obtain goods and services. These services include ideas and development of software or hardware, or any other business-task from a large, relatively open and often rapidly-evolving group of internet users; it divides work between participants to achieve a cumulative result. It has been used for completing various human intelligence tasks in the past, and this is an emerging form of outsourcing software development as it has the potential to significantly reduce the implementation cost. This chapter analyses the process of software development at a crowdsourced platform. The work analyses and identifies the phase wise deliverables in a competitive software development problem. It also proposes the use of Markov decision theory to model the dynamics of the development processes of a software by using a simulated example.

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