Configuring Crowdsourcing for Requirements Elicitation

This data was imported from DBLP:

Authors: Hosseini, M., Shahri, A., Phalp, K., Taylor, J., Ali, R. and Dalpiaz, F.

http://eprints.bournemouth.ac.uk/21886/

http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7121393

Journal: RCIS

Pages: 133-138

Publisher: IEEE

ISBN: 978-1-4673-6630-4

DOI: 10.1109/RCIS.2015.7128873

This data was imported from Scopus:

Authors: Hosseini, M., Shahri, A., Phalp, K., Taylor, J., Ali, R. and Dalpiaz, F.

http://eprints.bournemouth.ac.uk/21886/

Journal: Proceedings - International Conference on Research Challenges in Information Science

Volume: 2015-June

Issue: June

Pages: 133-138

eISSN: 2151-1357

ISSN: 2151-1349

DOI: 10.1109/RCIS.2015.7128873

© 2015 IEEE. Crowdsourcing is an emerging paradigm which utilises the power of the crowd in contributing information and solving problems. Crowdsourcing can support requirements elicitation, especially for systems used by a wide range of users and working in a dynamic context where requirements evolve regularly. For such systems, traditional elicitation methods are typically costly and limited in catering for the high diversity, scale and volatility of requirements. In this paper, we advocate the use of crowdsourcing for requirements elicitation and investigate ways to configure crowdsourcing to improve the quality of elicited requirements. To confirm and enhance our argument, we follow an empirical approach starting with two focus groups involving 14 participants, users and developers, followed by an online expert survey involving 34 participants from the Requirements Engineering community. We discuss our findings and present a set of challenges of applying crowdsourcing to aid requirements engineering with a focus on the elicitation stage.

This data was imported from Web of Science (Lite):

Authors: Hosseini, M., Shahri, A., Phalp, K., Taylor, J., Ali, R. and Dalpiaz, F.

http://eprints.bournemouth.ac.uk/21886/

Journal: 2015 IEEE 9TH INTERNATIONAL CONFERENCE ON RESEARCH CHALLENGES IN INFORMATION SCIENCE (RCIS)

Pages: 133-138

ISSN: 2151-1357

The data on this page was last updated at 04:45 on September 21, 2017.