2003
DOI: 10.1016/s0950-5849(03)00133-2
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Bridging the gap between business models and system models

Abstract: This paper discusses links that may be made between process models and UML software specification techniques, working from an argument that the whole complexity of organisational activity cannot be captured by UML alone. The approach taken is to develop a set of use cases which would be capable of providing information support to a pre-defined organisational process. The nature of the thinking which is necessary to derive the use cases is outlined, using the pre-defined process as a case study. The grouping of… Show more

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Cited by 45 publications
(23 citation statements)
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“…In this it reflects to some extent the experience of others in using UML to model organisations (see [16][17][18][19]). With non-technical systems there is perhaps the need for an intermediate step between knowledge gathering and detailed modeling in which the modeller can explore the domain of interest without being tied to a rigid semantic framework.…”
Section: Discussionmentioning
confidence: 83%
“…In this it reflects to some extent the experience of others in using UML to model organisations (see [16][17][18][19]). With non-technical systems there is perhaps the need for an intermediate step between knowledge gathering and detailed modeling in which the modeller can explore the domain of interest without being tied to a rigid semantic framework.…”
Section: Discussionmentioning
confidence: 83%
“…Thus, the quality requirement engineers with the business architects are now able to systematically elicit the NFRs for software systems. This is anticipated to complement the work in [2], [10]. In particular, the work has optimized the Riva BPA model by documenting its integration with business QRs, which embody the QoS requirements for candidate software services [6].…”
Section: Discussionmentioning
confidence: 92%
“…In relation to the first aspect, there have been efforts to map business process models, and in particular RADs (Ould, 1995), into system models using heuristics (Odeh, et. al, 2002;Odeh, et. al, 2003), simulations (Martinez-Garcia, et.…”
Section: Background and Related Workmentioning
confidence: 98%