Skip to main content

CRAFT: A Crowd-Annotated Feedback Technique.

Hosseini, M., Groen, E., Shahri, A. and Ali, R., 2017. CRAFT: A Crowd-Annotated Feedback Technique. In: CrowdRE: 2nd International Workshop on Crowd-Based Requirements Engineering, 4 September 2017, Lisbon, Portugal.

Full text available as:

Crowd Annotated Feedback Technique.pdf - Accepted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.


Official URL:


The ever increasing accessibility of the web for the crowd offered by various electronic devices such as smartphones has facilitated the communication of the needs, ideas, and wishes of millions of stakeholders. To cater for the scale of this input and reduce the overhead of manual elicitation methods, data mining and text mining techniques have been utilised to automatically capture and categorise this stream of feedback, which is also used, amongst other things, by stakeholders to communicate their requirements to software developers. Such techniques, however, fall short of identifying some of the peculiarities and idiosyncrasies of the natural language that people use colloquially. This paper proposes CRAFT, a technique that utilises the power of the crowd to support richer, more powerful text mining by enabling the crowd to categorise and annotate feedback through a context menu. This, in turn, helps requirements engineers to better identify user requirements within such feedback. This paper presents the theoretical foundations as well as the initial evaluation of this crowd-based feedback annotation technique for requirements identification.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:crowdsourcing; requirements elicitation; feedback categorisation; crowdsourced text mining
Group:Faculty of Science & Technology
ID Code:29514
Deposited By: Symplectic RT2
Deposited On:25 Jul 2017 08:59
Last Modified:14 Mar 2022 14:06


Downloads per month over past year

More statistics for this item...
Repository Staff Only -