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  4. Twenty software requirement patterns to specify recommender systems that users will trust
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Twenty software requirement patterns to specify recommender systems that users will trust

Type
conference paper
Date Issued
2012-06-10
Author(s)
Hoffmann, Axel
;
Söllner, Matthias  
;
Hoffmann, Holger
Abstract
Trust has been shown as a crucial factor for the adoption of new technologies. Surprisingly, trust literature offers very little guidance for systematically integrating the vast amount of insights from behavioral research on trust into the development of computing systems. The aim of this article is to translate results from behavioral sciences into software requirement patterns that address user trust in recommender systems. Software requirement patterns are used in requirements engineering to recognize important and recurring issues and reduce the effort of compiling a list of software requirements. We collected antecedents that build trust, and developed software requirement patterns that demand functionality to support these antecedents. This paper contributes by presenting software requirement patterns consisting of the name, the goal and the pre-defined requirement template that can be used to specify trust requirements in recommender system development projects.
Language
English
Keywords
Software Requirement Patterns
Requirements Reuse
Trust Requirements
HSG Classification
contribution to scientific community
Refereed
No
Book title
Proceedings of the 20th European Conference on Information Systems (ECIS 2012)
Publisher
Association for Information Systems
Publisher place
AIS Electronic Library (AISeL)
Event Title
20th European Conference on Information Systems (ECIS) 2012
Event Location
Barcelona, Spain
Event Date
11.-13.06.2012
Official URL
http://aisel.aisnet.org/ecis2012/185/
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/91474
Subject(s)

information managemen...

Division(s)

IWI - Institute of In...

Eprints ID
228939
File(s)
Thumbnail Image
Name

Hoffmann et al. 2012.pdf

Size

1.3 MB

Format

Adobe PDF

Checksum (MD5)

64747c3202d26f07bf7d8cd8ae3f83bc

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