A Participant Recruitment Framework for Crowdsourcing based Software Requirement Acquisition

Computing and Communications

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Published

Standard

A Participant Recruitment Framework for Crowdsourcing based Software Requirement Acquisition. / Wang, Hao; Wang, Yasha; Wang, Jiangtao.
2014 IEEE 9th International Conference on Global Software Engineering. IEEE, 2014. p. 65-73.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Wang, H, Wang, Y & Wang, J 2014, A Participant Recruitment Framework for Crowdsourcing based Software Requirement Acquisition. in 2014 IEEE 9th International Conference on Global Software Engineering. IEEE, pp. 65-73. https://doi.org/10.1109/ICGSE.2014.26

APA

Wang, H., Wang, Y., & Wang, J. (2014). A Participant Recruitment Framework for Crowdsourcing based Software Requirement Acquisition. In 2014 IEEE 9th International Conference on Global Software Engineering (pp. 65-73). IEEE. https://doi.org/10.1109/ICGSE.2014.26

Vancouver

Wang H, Wang Y, Wang J. A Participant Recruitment Framework for Crowdsourcing based Software Requirement Acquisition. In 2014 IEEE 9th International Conference on Global Software Engineering. IEEE. 2014. p. 65-73 doi: 10.1109/ICGSE.2014.26

Author

Wang, Hao ; Wang, Yasha ; Wang, Jiangtao. / A Participant Recruitment Framework for Crowdsourcing based Software Requirement Acquisition. 2014 IEEE 9th International Conference on Global Software Engineering. IEEE, 2014. pp. 65-73

Bibtex

@inproceedings{f6d688478dd942c1ac3d96aa3024c024,

title = "A Participant Recruitment Framework for Crowdsourcing based Software Requirement Acquisition",

abstract = "The opportunity to leverage crowd sourcing-based model to facilitate software requirements acquisition has been recognized to maximize the advantages of the diversity of talents and expertise available within the crowd. Identifying well-suited participants is a common issue in crowd sourcing system. Requirements acquisition tasks call for participants with particular kind of domain knowledge. However, current crowd sourcing system failed to provide such kind of identification among participants. We observed that participants with a particular kind of domain knowledge often have the opportunity to cluster in particular spatiotemporal spaces. Based on this observation, we propose a novel opportunistic participant recruitment framework to enable organizers to recruit participants with desired kind of domain knowledge in a more efficient way. We analyzed the feasibility of our opportunistic approach through both theoretic study on analytical model and simulated experiment on real world mobility model. The results showed the feasibility of our approach.",

keywords = "Crowdsourcing, Opportunistic Network",

author = "Hao Wang and Yasha Wang and Jiangtao Wang",

year = "2014",

month = aug,

doi = "10.1109/ICGSE.2014.26",

language = "English",

pages = "65--73",

booktitle = "2014 IEEE 9th International Conference on Global Software Engineering",

publisher = "IEEE",

}

RIS

TY - GEN

T1 - A Participant Recruitment Framework for Crowdsourcing based Software Requirement Acquisition

AU - Wang, Hao

AU - Wang, Yasha

AU - Wang, Jiangtao

PY - 2014/8

Y1 - 2014/8

N2 - The opportunity to leverage crowd sourcing-based model to facilitate software requirements acquisition has been recognized to maximize the advantages of the diversity of talents and expertise available within the crowd. Identifying well-suited participants is a common issue in crowd sourcing system. Requirements acquisition tasks call for participants with particular kind of domain knowledge. However, current crowd sourcing system failed to provide such kind of identification among participants. We observed that participants with a particular kind of domain knowledge often have the opportunity to cluster in particular spatiotemporal spaces. Based on this observation, we propose a novel opportunistic participant recruitment framework to enable organizers to recruit participants with desired kind of domain knowledge in a more efficient way. We analyzed the feasibility of our opportunistic approach through both theoretic study on analytical model and simulated experiment on real world mobility model. The results showed the feasibility of our approach.

AB - The opportunity to leverage crowd sourcing-based model to facilitate software requirements acquisition has been recognized to maximize the advantages of the diversity of talents and expertise available within the crowd. Identifying well-suited participants is a common issue in crowd sourcing system. Requirements acquisition tasks call for participants with particular kind of domain knowledge. However, current crowd sourcing system failed to provide such kind of identification among participants. We observed that participants with a particular kind of domain knowledge often have the opportunity to cluster in particular spatiotemporal spaces. Based on this observation, we propose a novel opportunistic participant recruitment framework to enable organizers to recruit participants with desired kind of domain knowledge in a more efficient way. We analyzed the feasibility of our opportunistic approach through both theoretic study on analytical model and simulated experiment on real world mobility model. The results showed the feasibility of our approach.

KW - Crowdsourcing

KW - Opportunistic Network

U2 - 10.1109/ICGSE.2014.26

DO - 10.1109/ICGSE.2014.26

M3 - Conference contribution/Paper

SP - 65

EP - 73

BT - 2014 IEEE 9th International Conference on Global Software Engineering

PB - IEEE

ER -

Research

Associated organisational unit

Links

Text available via DOI:

Keywords