54 research outputs found
Metadata Action Network Model for Cloud Based Development Environment
Perdahci, Ziya Nazim/0000-0002-1210-2448; Aydin, Mehmet/0000-0002-3995-6566Cloud-based software development solutions (entitled as Platformas-a-Service, Low-Code platforms) have been promoted as a game changing paradigm backed by model-driven architecture and supported by various cloud-based services. With the engagement of a sheer number of platform users (experienced, novel, or citizen developers) these platforms generate invaluable data and that can be considered as user metadata actions. As cloud-based development solutions provide novice users with a new development experience (performing data actions that altogether leads to a successful software app), users often times face with uncertainty about development performance; how good or complete is app development? Thus, the issue addressed in this research is how to measure user performance by using digital trace data generated on the cloud platform from a Network Science perspective. This research proposes a novel approach to leveraging digital trace data on Platform-as-a-Service (PaaS) from a Network Science perspective. The proposed approach considers the importance of digital trace data as metadata actions on PaaS and introduces a network model (so-called Metadata Action Network), which is claimed to be the result of reconstruction of events of developer's actions. We show suitability of the proposed approach to better understanding of real-world digital trace data on PaaS solution and elaborate basic performance analytics on a PaaS solution with research and practical implications.Conference Proceedings Citation Index - Science - Conference Proceedings Citation Index - Social Science &- Humanitie
Outsourcing Readiness: IT-Business-Alignment in der deutschen Bankenlandschaft und dessen Einfluss auf Outsourcing-Partnerschaften
Size-Dependent Pressure-Response of the Photoluminescence of CsPbBr<sub>3</sub> Nanocrystals
Capability Design with CDD
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.</p
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