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An end-to-end model-based approach to support big data analytics development
journal contribution
posted on 2020-06-01, 00:00 authored by H Khalajzadeh, Anj Simmons, Mohamed AbdelrazekMohamed Abdelrazek, John Grundy, J Hosking, Q He© 2020 Elsevier Ltd We present BiDaML 2.0, an integrated suite of visual languages and supporting tool to help multidisciplinary teams with the design of big data analytics solutions. BiDaML tool support provides a platform for efficiently producing BiDaML diagrams and facilitating their design, creation, report and code generation. We evaluated BiDaML using two types of evaluations, a theoretical analysis using the “physics of notations”, and an empirical study with 1) a group of 12 target end-users and 2) five individual end-users. Participants mostly agreed that BiDaML was straightforward to understand/learn, and prefer BiDaML for supporting complex data analytics solution modeling than other modeling languages.
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Journal
Journal of Computer LanguagesVolume
58Article number
100964Pagination
1 - 20Publisher
ElsevierLocation
Amsterdam, The NetherlandsPublisher DOI
ISSN
2590-1184Publication classification
C1 Refereed article in a scholarly journalUsage metrics
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