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Improving the elicitation of delightful context-aware features: A data-based approach

 
: Falcao, Rodrigo

:
Volltext urn:nbn:de:0011-n-4848712 (593 KByte PDF)
MD5 Fingerprint: a6a9b78444e7aad556060dfa285048d6
Erstellt am: 28.3.2018


Kaiserslautern, 2017, 6 S.
IESE-Report, 035.17/E
Reportnr.: 035.17/E
Englisch
Bericht, Elektronische Publikation
Fraunhofer IESE ()
software engineering; requirements engineering; requirements elicitation; context awareness; context modeling

Abstract
The pursuit of innovation in the mobile software industry frequently requires coming up with new features and not just any feature, but startling and unexpected delightful features. Despite the potential of context awareness to provide a system with delightfulness, current requirements elicitation techniques do not cope with an essential aspect: comprehension of the relationships among the numerous contextual elements of a certain domain and how they can positively influence the user task. As a result, solution providers continuously miss the opportunity to add more value to their software solutions by identifying context-aware behaviors that will lead to better recommendations or adaptations. This paper discusses this problem and proposes a process for tackling it by taking the task to be improved as input and semi-automatically generating (1) a conceptual context model that reveals and represents both the relevance of contextual elements and the relationships among them, and (2) candidate requirements. The expected scientific contributions of the ongoing research are delineated as well.

: http://publica.fraunhofer.de/dokumente/N-484871.html