Adaptive software-based Feedback Acquisition: A Persona-based design
Authors: Almaliki, M., Ncube, C. and Ali, R.
Journal: Proceedings - International Conference on Research Challenges in Information Science
Volume: 2015-June
Issue: June
Pages: 100-111
eISSN: 2151-1357
ISBN: 9781467366304
ISSN: 2151-1349
DOI: 10.1109/RCIS.2015.7128868
Abstract: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.
https://eprints.bournemouth.ac.uk/21926/
Source: Scopus
Adaptive Software-based Feedback Acquisition: A Persona-based Design
Authors: Almaliki, M., Ncube, C. and Ali, R.
Journal: 2015 IEEE 9TH INTERNATIONAL CONFERENCE ON RESEARCH CHALLENGES IN INFORMATION SCIENCE (RCIS)
Pages: 100-111
ISSN: 2151-1357
https://eprints.bournemouth.ac.uk/21926/
Source: Web of Science (Lite)
Adaptive Software-based Feedback Acquisition: A Persona-based Design
Authors: Almaliki, M., Ncube, C. and Ali, R.
Conference: The IEEE Ninth International Conference on Research Challenges in Information Science (RCIS’15)
Dates: 13-15 May 2015
https://eprints.bournemouth.ac.uk/21926/
Source: Manual
Adaptive software-based Feedback Acquisition: A Persona-based design.
Authors: Almaliki, M., Ncube, C. and Ali, R.
Journal: RCIS
Pages: 100-111
Publisher: IEEE
ISBN: 978-1-4673-6630-4
https://eprints.bournemouth.ac.uk/21926/
https://ieeexplore.ieee.org/xpl/conhome/7121393/proceeding
Source: DBLP
Adaptive Software-based Feedback Acquisition: A Persona-based Design
Authors: Almaliki, M., Ncube, C. and Ali, R.
Conference: IEEE Ninth International Conference on Research Challenges in Information Science (RCIS’15)
Abstract: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.
https://eprints.bournemouth.ac.uk/21926/
http://www.rcis-conf.com/rcis2015/
Source: BURO EPrints