End-user-oriented tool support for modeling data analytics requirements

Hourieh Khalajzadeh; Andrew J. Simmons; Mohamed Abdelrazek; John Grundy; John Hosking; Qiang He

doi:10.1109/VL/HCC50065.2020.9127196

End-user-oriented tool support for modeling data analytics requirements

Hourieh Khalajzadeh, Andrew J. Simmons, Mohamed Abdelrazek, John Grundy, John Hosking, Qiang He

Department of Software Systems & Cybersecurity

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other › peer-review

3 Citations (Scopus)

Abstract

Big data and analytics are increasingly used in different domains to gain insights and to improve decision-making. Developing big data analytics solutions is a complex task involving multidisciplinary teams and users-with no data science and programming background-to professional data scientists and software engineers. Different stakeholders work with a variety of data types, tasks and concepts in different languages from high-level domain concepts to low level programming languages and technical concepts. In order to advance the level of abstraction beyond low-level data analysis technical details, we demonstrate our BiDaML tool. BiDaML brings all stakeholders around one tool to specify, model and document their big data applications using a novel set of domain-specific visual languages (DSVLs).

Original language	English
Title of host publication	Proceedings - 2020 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), VL/HCC 2020
Editors	Michael Homer, Felienne Hermans, Steven Tanimoto, Craig Anslow
Place of Publication	Piscataway NJ USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	232-235
Number of pages	4
ISBN (Electronic)	9781728169019
ISBN (Print)	9781728169026
DOIs	https://doi.org/10.1109/VL/HCC50065.2020.9127196
Publication status	Published - 2020
Event	IEEE Symposium on Visual Languages and Human-Centric Computing 2020 - Virtual, Dunedin, New Zealand Duration: 10 Aug 2020 → 14 Aug 2020 https://ieeexplore.ieee.org/xpl/conhome/9124617/proceeding (Proceedings) https://conf.researchr.org/home/vlhcc2020 (Website)

Publication series

Name	Proceedings of IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC
Publisher	Institute of Electrical and Electronics Engineers, Inc.
Volume	2020-August
ISSN (Print)	1943-6092
ISSN (Electronic)	1943-6106

Conference

Conference	IEEE Symposium on Visual Languages and Human-Centric Computing 2020
Abbreviated title	VL/HCC 2020
Country/Territory	New Zealand
City	Dunedin
Period	10/08/20 → 14/08/20
Internet address	https://ieeexplore.ieee.org/xpl/conhome/9124617/proceeding (Proceedings) https://conf.researchr.org/home/vlhcc2020 (Website)

Keywords

BiDaML
big data analytics
domain-specific visual languages

Access to Document

10.1109/VL/HCC50065.2020.9127196

Cite this

Khalajzadeh, H., Simmons, A. J., Abdelrazek, M., Grundy, J., Hosking, J., & He, Q. (2020). End-user-oriented tool support for modeling data analytics requirements. In M. Homer, F. Hermans, S. Tanimoto, & C. Anslow (Eds.), Proceedings - 2020 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), VL/HCC 2020 (pp. 232-235). (Proceedings of IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC; Vol. 2020-August). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/VL/HCC50065.2020.9127196

Khalajzadeh, Hourieh ; Simmons, Andrew J. ; Abdelrazek, Mohamed et al. / End-user-oriented tool support for modeling data analytics requirements. Proceedings - 2020 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), VL/HCC 2020. editor / Michael Homer ; Felienne Hermans ; Steven Tanimoto ; Craig Anslow. Piscataway NJ USA : IEEE, Institute of Electrical and Electronics Engineers, 2020. pp. 232-235 (Proceedings of IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC).

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title = "End-user-oriented tool support for modeling data analytics requirements",

abstract = "Big data and analytics are increasingly used in different domains to gain insights and to improve decision-making. Developing big data analytics solutions is a complex task involving multidisciplinary teams and users-with no data science and programming background-to professional data scientists and software engineers. Different stakeholders work with a variety of data types, tasks and concepts in different languages from high-level domain concepts to low level programming languages and technical concepts. In order to advance the level of abstraction beyond low-level data analysis technical details, we demonstrate our BiDaML tool. BiDaML brings all stakeholders around one tool to specify, model and document their big data applications using a novel set of domain-specific visual languages (DSVLs).",

keywords = "BiDaML, big data analytics, domain-specific visual languages",

author = "Hourieh Khalajzadeh and Simmons, \{Andrew J.\} and Mohamed Abdelrazek and John Grundy and John Hosking and Qiang He",

year = "2020",

doi = "10.1109/VL/HCC50065.2020.9127196",

language = "English",

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series = "Proceedings of IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

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booktitle = "Proceedings - 2020 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), VL/HCC 2020",

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note = "IEEE Symposium on Visual Languages and Human-Centric Computing 2020, VL/HCC 2020 ; Conference date: 10-08-2020 Through 14-08-2020",

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Khalajzadeh, H, Simmons, AJ, Abdelrazek, M, Grundy, J, Hosking, J & He, Q 2020, End-user-oriented tool support for modeling data analytics requirements. in M Homer, F Hermans, S Tanimoto & C Anslow (eds), Proceedings - 2020 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), VL/HCC 2020. Proceedings of IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC, vol. 2020-August, IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 232-235, IEEE Symposium on Visual Languages and Human-Centric Computing 2020, Dunedin, New Zealand, 10/08/20. https://doi.org/10.1109/VL/HCC50065.2020.9127196

End-user-oriented tool support for modeling data analytics requirements. / Khalajzadeh, Hourieh; Simmons, Andrew J.; Abdelrazek, Mohamed et al.
Proceedings - 2020 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), VL/HCC 2020. ed. / Michael Homer; Felienne Hermans; Steven Tanimoto; Craig Anslow. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, 2020. p. 232-235 (Proceedings of IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC; Vol. 2020-August).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other › peer-review

TY - GEN

T1 - End-user-oriented tool support for modeling data analytics requirements

AU - Khalajzadeh, Hourieh

AU - Simmons, Andrew J.

AU - Abdelrazek, Mohamed

AU - Grundy, John

AU - Hosking, John

AU - He, Qiang

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AB - Big data and analytics are increasingly used in different domains to gain insights and to improve decision-making. Developing big data analytics solutions is a complex task involving multidisciplinary teams and users-with no data science and programming background-to professional data scientists and software engineers. Different stakeholders work with a variety of data types, tasks and concepts in different languages from high-level domain concepts to low level programming languages and technical concepts. In order to advance the level of abstraction beyond low-level data analysis technical details, we demonstrate our BiDaML tool. BiDaML brings all stakeholders around one tool to specify, model and document their big data applications using a novel set of domain-specific visual languages (DSVLs).

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KW - big data analytics

KW - domain-specific visual languages

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DO - 10.1109/VL/HCC50065.2020.9127196

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AN - SCOPUS:85093928286

SN - 9781728169026

T3 - Proceedings of IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC

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EP - 235

BT - Proceedings - 2020 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), VL/HCC 2020

A2 - Homer, Michael

A2 - Hermans, Felienne

A2 - Tanimoto, Steven

A2 - Anslow, Craig

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - Piscataway NJ USA

T2 - IEEE Symposium on Visual Languages and Human-Centric Computing 2020

Y2 - 10 August 2020 through 14 August 2020

ER -

Khalajzadeh H, Simmons AJ, Abdelrazek M, Grundy J, Hosking J, He Q. End-user-oriented tool support for modeling data analytics requirements. In Homer M, Hermans F, Tanimoto S, Anslow C, editors, Proceedings - 2020 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), VL/HCC 2020. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers. 2020. p. 232-235. (Proceedings of IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC). doi: 10.1109/VL/HCC50065.2020.9127196

End-user-oriented tool support for modeling data analytics requirements

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

HCMDSE: Human-centric Model-driven Software Engineering

Domain-specific visual languages for big data analytics applications

Cite this

End-user-oriented tool support for modeling data analytics requirements

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Projects

HCMDSE: Human-centric Model-driven Software Engineering

Domain-specific visual languages for big data analytics applications

Cite this