Adaptive Software-based Feedback Acquisition: A Persona-based Design

This source preferred by Raian Ali

Authors: Almaliki, M., Ncube, C. and Ali, R.

http://eprints.bournemouth.ac.uk/21926/

Start date: 13 May 2015

This data was imported from DBLP:

Authors: Almaliki, M., Ncube, C. and Ali, R.

http://eprints.bournemouth.ac.uk/21926/

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

Journal: RCIS

Pages: 100-111

Publisher: IEEE

ISBN: 978-1-4673-6630-4

DOI: 10.1109/RCIS.2015.7128868

This data was imported from Scopus:

Authors: Almaliki, M., Ncube, C. and Ali, R.

http://eprints.bournemouth.ac.uk/21926/

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

Volume: 2015-June

Issue: June

Pages: 100-111

eISSN: 2151-1357

ISSN: 2151-1349

DOI: 10.1109/RCIS.2015.7128868

© 2015 IEEE. Users' feedback is vital to improve software quality and it provides developers with a rich knowledge on how software meets users' requirements in practice. Feedback informs how software should adapt, or be adapted, at runtime and what evolutionary actions to take in the next release. However, studies have noted that accommodating the different preferences of users on how feedback should be requested is a complex task and requires a careful engineering process. This calls for an adaptive feedback acquisition mechanisms to cater for such variability. In this paper, we tackle this problem by employing the concept of Persona to aid software engineers understand the various users' behaviours and improve their ability to design feedback acquisition techniques more efficiently. We create a set of personas based on a mixture of qualitative and quantitative studies and propose PAFA, a Persona-based method for Adaptive Feedback Acquisition.

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

Authors: Almaliki, M., Ncube, C. and Ali, R.

http://eprints.bournemouth.ac.uk/21926/

Journal: 2015 IEEE 9th International Conference on Research Challenges in Information Science (RCIS)

Pages: 100-111

ISSN: 2151-1349

The data on this page was last updated at 04:46 on November 24, 2017.