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An end-to-end model-based approach to support big data analytics development

Version 2 2024-06-04, 13:05
Version 1 2020-05-14, 08:51
journal contribution
posted on 2024-06-04, 13:05 authored by Hourieh KhalajzadehHourieh Khalajzadeh, AJ Simmons, Mohamed AbdelrazekMohamed Abdelrazek, J 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.

History

Journal

Journal of Computer Languages

Volume

58

Article number

ARTN 100964

Pagination

1 - 20

Location

Amsterdam, The Netherlands

ISSN

2590-1184

eISSN

2590-1184

Language

English

Publication classification

C1 Refereed article in a scholarly journal

Publisher

ELSEVIER SCI LTD