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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao IEEE Softwarearrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
IEEE Software
Article . 2005 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
DBLP
Article . 2005
Data sources: DBLP
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Rich-Media Scenarios for Discovering Requirements

Authors: Konstantinos Zachos; Neil A. M. Maiden; Amit Tosar;

Rich-Media Scenarios for Discovering Requirements

Abstract

Walking through scenarios is an effective technique for discovering requirements, but scenarios can differ widely in their abstraction levels and representation forms. Some requirements analysts use scenarios that describe a system's external visible behavior. Others use live sequence charts to model a system's dynamic behavior. Requirements analysts also use scenarios for everything from explaining a current system to walking through a future system's behavior to discover its requirements. However, determining the right form of scenarios for different requirements tasks remains an open question -one we're investigating with ART-SCENE. ART-SCENE is an Internet-based environment for generating and walking through text scenarios. The ART-SCENE tool supports rich media scenarios in requirement discovery. These scenarios help stakeholders recognize events that a system will have to handle.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
25
Average
Top 10%
Top 10%
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