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Papers Papers/2020

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Authors: Hourieh Khalajzadeh 1 ; Andrew Simmons 2 ; Mohamed Abdelrazek 3 ; John Grundy 1 ; John Hosking 4 and Qiang He 5

Affiliations: 1 Faculty of Information Technology, Monash University, Australia ; 2 Applied Artificial Intelligence Institute (A2I2), Deakin University, Australia ; 3 School of Information Technology, Deakin University, Australia ; 4 Faculty of Science, University of Auckland, New Zealand ; 5 School of Software and Electrical Engineering, Swinburne University of Technology, Australia

ISBN: 978-989-758-421-3

ISSN: 2184-4895

Keyword(s): Big Data Analytics, Big Data Modeling, Big Data Toolkits, Domain Specific Visual Languages, End-user Tools.

Abstract: 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 real-world 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.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Khalajzadeh, H.; Simmons, A.; Abdelrazek, M.; Grundy, J.; Hosking, J. and He, Q. (2020). Visual Languages for Supporting Big Data Analytics Development. In Proceedings of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE, ISBN 978-989-758-421-3 ISSN 2184-4895, pages 15-26. DOI: 10.5220/0009192900150026

@conference{enase20,
author={Hourieh Khalajzadeh. and Andrew Simmons. and Mohamed Abdelrazek. and John Grundy. and John Hosking. and Qiang He.},
title={Visual Languages for Supporting Big Data Analytics Development},
booktitle={Proceedings of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE,},
year={2020},
pages={15-26},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009192900150026},
isbn={978-989-758-421-3},
issn={2184-4895},
}

TY - CONF

JO - Proceedings of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE,
TI - Visual Languages for Supporting Big Data Analytics Development
SN - 978-989-758-421-3
IS - 2184-4895
AU - Khalajzadeh, H.
AU - Simmons, A.
AU - Abdelrazek, M.
AU - Grundy, J.
AU - Hosking, J.
AU - He, Q.
PY - 2020
SP - 15
EP - 26
DO - 10.5220/0009192900150026

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