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Using service responsibility tables to supplement UML in analyzing e-service systems

Tan, Xin ; Alter, Steven ; Siau, Keng

Decision Support Systems, 2011-06, Vol.51 (3), p.350-360 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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Título:
Using service responsibility tables to supplement UML in analyzing e-service systems
Autor: Tan, Xin ; Alter, Steven ; Siau, Keng
Assuntos: Applied sciences ; Business ; Computer science; control theory; systems ; Exact sciences and technology ; Heuristic ; Information systems. Data bases ; Information technology ; Mathematical analysis ; Memory organisation. Data processing ; Object oriented programming ; Service responsibility table ; Software ; Studies ; Systems analysis ; Systems analysis and design ; Systems design ; Tables ; Unified Modeling Language ; Weight reduction ; Work system method
É parte de: Decision Support Systems, 2011-06, Vol.51 (3), p.350-360
Notas: ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
Descrição: This paper proposes using Service Responsibility Tables (SRTs) as a tool in analyzing e-service systems. First it discusses difficulties and deficiencies of using formal modeling languages such as UML in analyzing e-service systems. It proposes using SRTs as an informal language and lightweight analytical tool to be used by business professionals in analyzing e-service systems. SRTs are based on a service value chain framework but do not rely on abstract concepts and constructs, and therefore can be used by business professionals to supplement UML. We suggest a set of heuristics for transforming SRTs into two key UML diagrams, thereby illustrating how SRTs can be used as a bridge from relatively informal modeling by business professionals to formal modeling techniques for systems design and implementation by IT professionals.
Editor: Amsterdam: Elsevier B.V
Idioma: Inglês

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Using service responsibility tables to supplement UML in analyzing e-service systems

Tan, Xin ; Alter, Steven ; Siau, Keng

Amsterdam: Elsevier B.V

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