Cloud‐Based Development Environments

Aydın, Mehmet N.; Perdahci, N. Ziya; Odevci, Bahadir

doi:10.1002/9781118821930.ch6

Cited by 2 publications

(2 citation statements)

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“…The digital trace data under examination is found on imona.com, which is an application development platform (Application Platform as Service: aPaaS) where developers can not only create new applications, but it also offers the possibility of extending the functionality of any application already placed in its marketplace [4]. Imona.com is a one type of aPaaS, called metadata aPaaS [4]. Metadata aPaaS provides visual tools to customize data models, application logic, workflow, and user interface.…”

Section: Demonstration Of Network Analytics On Apaasmentioning

confidence: 99%

“…The research perspectives rooted in Information Systems and Software Engineering have made significant contributions to better understanding of PaaS [1,2], but there a little attempt to put emphasis on PaaS from digital trace data point of view [3]. That is, with the engagement of sheer number of platforms users (experienced, novel, or citizen developers) these platforms generate invaluable data and that can be used to improve platform performance [4].…”

Section: Introductionmentioning

confidence: 99%

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Metadata Action Network Model for Cloud Based Development Environment

Aydın

Perdahçı

Safak

et al. 2020

Trends and Innovations in Information Systems and Technologies

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Cloud-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 cloudbased 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.

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Section: Demonstration Of Network Analytics On Apaasmentioning

confidence: 99%