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Visual languages for supporting big data analytics development

Version 2 2024-06-04, 13:05
Version 1 2020-08-06, 10:00
conference contribution
posted on 2024-06-04, 13:05 authored by Hourieh KhalajzadehHourieh Khalajzadeh, AJ Simmons, Mohamed AbdelrazekMohamed Abdelrazek, J Grundy, J Hosking, Q He
We present BiDaML (Big Data Analytics Modeling Languages), an integrated suite of visual languages and supporting tool to help end-users with the engineering of big data analytics solutions. BiDaML, our visual notations suite, comprises six diagrammatic notations: brainstorming diagram, process diagram, technique diagrams, data diagrams, output diagrams and deployment diagram. BiDaML tool provides a platform for efficiently producing BiDaML visual models and facilitating their design, creation, code generation and integration with other tools. To demonstrate the utility of BiDaML, we illustrate our approach with a realworld example of traffic data analysis. We evaluate BiDaML using two types of evaluations, the physics of notations and a cognitive walkthrough with several target end-users e.g. data scientists and software engineers.

History

Pagination

15-26

Location

Online

Start date

2020-05-05

End date

2020-05-06

ISBN-13

978-989-758-421-3

Language

eng

Publication classification

E1 Full written paper - refereed

Editor/Contributor(s)

[Unknown]

Title of proceedings

ENASE 2020 : Proceedings of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering

Event

Software Engineering. International Conference (15th : 2020 : Online)

Publisher

SCITEPRESS - Science and Technology Publications

Place of publication

[Portugal]

Series

Software Engineering International Conference