Cloud-based software crowdsourcing

Wei Tek Tsai; Wenjun Wu; Michael N. Huhns

doi:10.1109/MIC.2014.46

Cloud-based software crowdsourcing

Wei Tek Tsai, Wenjun Wu, Michael N. Huhns

Computing, Informatics and Decision Systems Engineering, School of (CIDSE)

Research output: Contribution to journal › Review article › peer-review

34 Scopus citations

Abstract

In addition to providing large-scale, highly available computational resources, clouds also enable a new methodology for software development via crowdsourcing, in which crowd participants either collaborate or compete to contribute software. Using a crowd to develop software is predicted to take its place alongside established methodologies, such as agile, scrum, pair programming, service-oriented computing, and the traditional waterfall.

Original language	English (US)
Article number	6818962
Pages (from-to)	78-83
Number of pages	6
Journal	IEEE Internet Computing
Volume	18
Issue number	3
DOIs	https://doi.org/10.1109/MIC.2014.46
State	Published - Jan 1 2014

Keywords

PaaS
crowdsourcing
platform-as-a-service
software development

ASJC Scopus subject areas

Computer Networks and Communications

Access to Document

10.1109/MIC.2014.46

Fingerprint Dive into the research topics of 'Cloud-based software crowdsourcing'. Together they form a unique fingerprint.

Cite this

@article{d50dd16024b6475d90a2bfbc17269d04,

title = "Cloud-based software crowdsourcing",

abstract = "In addition to providing large-scale, highly available computational resources, clouds also enable a new methodology for software development via crowdsourcing, in which crowd participants either collaborate or compete to contribute software. Using a crowd to develop software is predicted to take its place alongside established methodologies, such as agile, scrum, pair programming, service-oriented computing, and the traditional waterfall.",

keywords = "PaaS, crowdsourcing, platform-as-a-service, software development",

author = "Tsai, {Wei Tek} and Wenjun Wu and Huhns, {Michael N.}",

year = "2014",

month = jan,

day = "1",

doi = "10.1109/MIC.2014.46",

language = "English (US)",

volume = "18",

pages = "78--83",

journal = "IEEE Internet Computing",

issn = "1089-7801",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "3",

}

TY - JOUR

T1 - Cloud-based software crowdsourcing

AU - Tsai, Wei Tek

AU - Wu, Wenjun

AU - Huhns, Michael N.

PY - 2014/1/1

Y1 - 2014/1/1

N2 - In addition to providing large-scale, highly available computational resources, clouds also enable a new methodology for software development via crowdsourcing, in which crowd participants either collaborate or compete to contribute software. Using a crowd to develop software is predicted to take its place alongside established methodologies, such as agile, scrum, pair programming, service-oriented computing, and the traditional waterfall.

AB - In addition to providing large-scale, highly available computational resources, clouds also enable a new methodology for software development via crowdsourcing, in which crowd participants either collaborate or compete to contribute software. Using a crowd to develop software is predicted to take its place alongside established methodologies, such as agile, scrum, pair programming, service-oriented computing, and the traditional waterfall.

KW - PaaS

KW - crowdsourcing

KW - platform-as-a-service

KW - software development

UR - http://www.scopus.com/inward/record.url?scp=84901349410&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84901349410&partnerID=8YFLogxK

U2 - 10.1109/MIC.2014.46

DO - 10.1109/MIC.2014.46

M3 - Review article

AN - SCOPUS:84901349410

VL - 18

SP - 78

EP - 83

JO - IEEE Internet Computing

JF - IEEE Internet Computing

SN - 1089-7801

IS - 3

M1 - 6818962

ER -