TY - GEN
T1 - Adaptive software-based Feedback Acquisition
T2 - 9th IEEE International Conference on Research Challenges in Information Science, IEEE RCIS 2015
AU - Almaliki, Malik
AU - Ncube, Cornelius
AU - Ali, Raian
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/6/19
Y1 - 2015/6/19
N2 - 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.
AB - 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.
KW - Persona
KW - Requirement engineering
KW - User Feedback
UR - https://www.scopus.com/pages/publications/84937925745
U2 - 10.1109/RCIS.2015.7128868
DO - 10.1109/RCIS.2015.7128868
M3 - Conference contribution
AN - SCOPUS:84937925745
T3 - Proceedings - International Conference on Research Challenges in Information Science
SP - 100
EP - 111
BT - IEEE RCIS 2015 - 9th International Conference on Research Challenges in Information Science, Proceedings
A2 - Rolland, Colette
A2 - Anagnostopoulos, Dimosthenis
A2 - Loucopoulos, Pericles
A2 - Gonzales-Perez, Cesar
PB - IEEE Computer Society
Y2 - 13 May 2015 through 15 May 2015
ER -