Crowdsourcing for Large-Scale Software Development

Wei Li (), Wei-Tek Tsai () and Wenjun Wu ()
Additional contact information
Wei Li: Beihang University
Wei-Tek Tsai: Arizona State University
Wenjun Wu: Beihang University

A chapter in Crowdsourcing, 2015, pp 3-23 from Springer

Abstract: Abstract Large scale software systems with increasing complexity, variability and uncertainty, brings about grand challenges for traditional software engineering. Recently, crowdsourcing practices in the domain of software development such as Apple App StoreApple App Store and TopCoder have exhibited a promising and viable solution to the issues. The use of a crowd for developing software is predicted to take its place alongside established methodologies, such as agile, global software development, service-oriented computing, and the traditional waterfall. In this chapter, we propose a conceptual framework for the emerging crowdsourcing development methodology. We define the fundamental principles, software architecture, development process, and maturity model of the methodology for crowdWorkforce motivation workforce motivation, coordination and governance.

Keywords: Software Development; Software Development Process; Agile Method; Global Software Development; Software Ecosystem (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations: View citations in EconPapers (1)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:prochp:978-3-662-47011-4_1

Ordering information: This item can be ordered from
http://www.springer.com/9783662470114

DOI: 10.1007/978-3-662-47011-4_1

Access Statistics for this chapter

More chapters in Progress in IS from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().