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Capability Design with CDD
Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
2018 (Engelska)Ingår i: Capability Management in Digital Enterprises / [ed] Kurt Sandkuhl, Janis Stirna, Cham: Springer, 2018, nr 1, s. 101-116Kapitel i bok, del av antologi (Refereegranskat)
Abstract [en]

One of the key tasks of the CDD methodology concerns designing capabilities starting from existing business requirements, enterprise models, and other kinds of organizational designs. As described in this chapter, the CDD methodology contains three complementary strategies for the design of capabilities: goal-first, process-first, and concept-first strategies. The view of the goal-first strategy is that capabilities exist as means to fulfill an organization’s long-term business objectives. The process-first strategy considers that capabilities are delivered through the execution of well-established business processes and therefore should be designed based on such processes. The concept-first strategy views stable information structures as the primary means for capability design. All three strategies for capability design shares four generic phases: scoping, identification, interlinking, and contextualizing and adapting. Each phase involves the use of some of the main CDD concepts in the capability design, such as goals, processes, context elements, or delivery patterns, as well as their relationships, with the final aim to obtain a well-defined model of one or several capabilities. Documentation of capabilities designed by the strategies is supported by the CDD environment, in particular the CDT tool support, a model-driven design.

Ort, förlag, år, upplaga, sidor
Cham: Springer, 2018. nr 1, s. 101-116
Nyckelord [en]
Capability Driven Development, Context, Enterprise Modeling, Requirements Engineering
Nyckelord [sv]
Verksamhetsmodellering
Nationell ämneskategori
Systemvetenskap, informationssystem och informatik
Forskningsämne
data- och systemvetenskap
Identifikatorer
URN: urn:nbn:se:su:diva-161388DOI: 10.1007/978-3-319-90424-5_6ISBN: 978-3-319-90423-8 (tryckt)ISBN: 978-3-319-90424-5 (digital)OAI: oai:DiVA.org:su-161388DiVA, id: diva2:1258201
Tillgänglig från: 2018-10-24 Skapad: 2018-10-24 Senast uppdaterad: 2018-10-24Bibliografiskt granskad

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Henkel, MartinZdravkovic, Jelena
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Institutionen för data- och systemvetenskap
Systemvetenskap, informationssystem och informatik

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