IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Markov Decision Theory-Based Crowdsourcing Software Process Model

Markov Decision Theory-Based Crowdsourcing Software Process Model
View Sample PDF
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

Purchase

View Markov Decision Theory-Based Crowdsourcing Software Process Model on the publisher's website for pricing and purchasing information.

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.

Related Content

Babita Srivastava. © 2024. 21 pages.
Sakuntala Rao, Shalini Chandra, Dhrupad Mathur. © 2024. 27 pages.
Satya Sekhar Venkata Gudimetla, Naveen Tirumalaraju. © 2024. 24 pages.
Neeta Baporikar. © 2024. 23 pages.
Shankar Subramanian Subramanian, Amritha Subhayan Krishnan, Arumugam Seetharaman. © 2024. 35 pages.
Charu Banga, Farhan Ujager. © 2024. 24 pages.
Munir Ahmad. © 2024. 27 pages.
Body Bottom