demonstration

User-centred tooling for modelling of big data applications

Authors:

Hourieh Khalajzadeh,

Andrew J. Simmons,

Mohamed Abdelrazek,

John HoskingAuthors Info & Claims

MODELS '20: Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings

Article No.: 7, Pages 1 - 5

https://doi.org/10.1145/3417990.3422004

Published: 26 October 2020 Publication History

Abstract

We outline the key requirements for a Big Data modelling recommender tool. Our web-based tool is suitable for capturing system requirements in big data analytics applications involving diverse stakeholders. It promotes awareness of the datasets and algorithm implementations that are available to leverage in the design of the solution. We implement these ideas in BiDaML-web, a proof of concept recommender system for Big Data applications, and evaluate the tool using an empirical study with a group of 16 target end-users. Participants found the integrated recommender and technique suggestion tools helpful and highly rated the overall BiDaML web-based modelling experience. BiDaML-web is available at https://bidaml.web.app/ and the source code can be accessed at https://github.com/tarunverma23/bidaml.

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Hourieh Khalajzadeh, Mohamed Abdelrazek, John Grundy, John Hosking, and Qiang He. 2018. A survey of current end-user data analytics tool support. In 2018 IEEE International Congress on Big Data (BigData Congress). IEEE, 41--48.

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Hourieh Khalajzadeh, Mohamed Abdelrazek, John Grundy, John Hosking, and Qiang He. 2019. BiDaML: A Suite of Visual Languages for Supporting End-User Data Analytics. In 2019 IEEE International Congress on Big Data (BigDataCongress). IEEE, 93--97.

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Hourieh Khalajzadeh, Mohamed Abdelrazek, John Grundy, John G Hosking, and Qiang He. 2019. Survey and Analysis of Current End-user Data Analytics Tool Support. IEEE Transactions on Big Data (2019).

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Hourieh Khalajzadeh, Andrew Simmons, Mohamed Abdelrazek, John Grundy, John Hosking, and Qiang He. 2020. An End-to-End Model-based Approach to Support Big Data Analytics Development. Journal of Computer Languages (2020), 100964.

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Digital Library

Cited By

Khalajzadeh HGrundy JMcIntosh JKühn TSousa V(2022)VisionProceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings10.1145/3550356.3559100(929-933)Online publication date: 23-Oct-2022
https://dl.acm.org/doi/10.1145/3550356.3559100
Khalajzadeh HSimmons AVerma TAbdelrazek MGrundy JHosking JHe QRatnakanthan PZia ALaw M(2021)BiDaML in Practice: Collaborative Modeling of Big Data Analytics Application RequirementsEvaluation of Novel Approaches to Software Engineering10.1007/978-3-030-70006-5_5(106-129)Online publication date: 27-Feb-2021
https://doi.org/10.1007/978-3-030-70006-5_5

Index Terms

User-centred tooling for modelling of big data applications

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Published In

cover image ACM Conferences

MODELS '20: Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings

October 2020

713 pages

ISBN:9781450381352

DOI:10.1145/3417990

Conference Chairs:
Esther Guerra
Universidad Autonoma de Madrid, Spain
,
Ludovico Iovino
Gran Sasso Science Institute, Italy

Copyright © 2020 Owner/Author.

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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SIGSOFT: ACM Special Interest Group on Software Engineering

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IEEE CS

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 October 2020

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MODELS '20

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MODELS '20: ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems

October 16 - 23, 2020

Virtual Event, Canada

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Cited By

Khalajzadeh HGrundy JMcIntosh JKühn TSousa V(2022)VisionProceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings10.1145/3550356.3559100(929-933)Online publication date: 23-Oct-2022
https://dl.acm.org/doi/10.1145/3550356.3559100
Khalajzadeh HSimmons AVerma TAbdelrazek MGrundy JHosking JHe QRatnakanthan PZia ALaw M(2021)BiDaML in Practice: Collaborative Modeling of Big Data Analytics Application RequirementsEvaluation of Novel Approaches to Software Engineering10.1007/978-3-030-70006-5_5(106-129)Online publication date: 27-Feb-2021
https://doi.org/10.1007/978-3-030-70006-5_5

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