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Toward improved visual support for i...

University of Toronto (Canada).

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Toward improved visual support for i(star) modelling.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Toward improved visual support for i(star) modelling./
Author:	Cocca, Christopher.
Description:	115 p.
Notes:	Source: Masters Abstracts International, Volume: 45-06, page: 3184.
Contained By:	Masters Abstracts International45-06.
Subject:	Computer Science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MR27330
ISBN:	9780494273302

Toward improved visual support for i(star) modelling.
Cocca, Christopher.

Toward improved visual support for i(star) modelling. - 115 p.

Source: Masters Abstracts International, Volume: 45-06, page: 3184.

Thesis (M.I.St.)--University of Toronto (Canada), 2007.

The i* framework (Yu, 1995) offers a graphical notation for modeling and analyzing socio-technical systems, particularly during early stage requirements engineering for software systems. A number of software tools exist to support i* modeling. Nevertheless, there is a strong need for better visual support in i* modeling. This study aimed to identify areas for improvement and to develop prototypes to address these areas. A review of existing i* tools and observation of users revealed that current tools provide inadequate support for maintaining an overall view of a model, filtering extraneous data and extracting sub-collections of the model data.

ISBN: 9780494273302Subjects--Topical Terms:

626642
Computer Science.

Toward improved visual support for i(star) modelling.
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245 1 0 $a Toward improved visual support for i(star) modelling.
300 $a 115 p.
500 $a Source: Masters Abstracts International, Volume: 45-06, page: 3184.
502 $a Thesis (M.I.St.)--University of Toronto (Canada), 2007.
520 $a The i* framework (Yu, 1995) offers a graphical notation for modeling and analyzing socio-technical systems, particularly during early stage requirements engineering for software systems. A number of software tools exist to support i* modeling. Nevertheless, there is a strong need for better visual support in i* modeling. This study aimed to identify areas for improvement and to develop prototypes to address these areas. A review of existing i* tools and observation of users revealed that current tools provide inadequate support for maintaining an overall view of a model, filtering extraneous data and extracting sub-collections of the model data.
520 $a Prototypes were then developed based on these needs, and an evaluation by users of i* was carried out to test the validity of the concepts and requirements included in the prototypes. User feedback suggested these prototypes would be useful when using software for i* modelling and offered suggestions for further improvements.
590 $a School code: 0779.
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710 2 $a University of Toronto (Canada). $3 1017674
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