Visual languages for supporting Big Data Analytics Development

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

doi:10.5220/0009192900150026

Visual languages for supporting Big Data Analytics Development

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

Department of Software Systems & Cybersecurity

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

4 Citations (Scopus)

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 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.

Original language	English
Title of host publication	Proceedings of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering
Editors	Raian Ali, Hermann Kaindl, Leszek Maciaszek
Place of Publication	Setubal Portugal
Publisher	Scitepress
Pages	15-26
Number of pages	12
Volume	1
ISBN (Electronic)	9789897584213
DOIs	https://doi.org/10.5220/0009192900150026
Publication status	Published - 2020
Event	International Conference on Evaluation of Novel Approaches to Software Engineering 2020 - Virtual, Prague, Czech Republic Duration: 5 May 2020 → 6 May 2020 Conference number: 15th https://web.archive.org/web/20191218164753/http://www.enase.org/ (Website) https://www.scitepress.org/ProceedingsDetails.aspx?ID=58GseuYgkNA=&t=1 (Proceedings) https://link.springer.com/book/10.1007/978-3-030-70006-5

Conference

Conference	International Conference on Evaluation of Novel Approaches to Software Engineering 2020
Abbreviated title	ENASE 2020
Country/Territory	Czech Republic
City	Prague
Period	5/05/20 → 6/05/20
Internet address	https://web.archive.org/web/20191218164753/http://www.enase.org/ (Website) https://www.scitepress.org/ProceedingsDetails.aspx?ID=58GseuYgkNA=&t=1 (Proceedings) https://link.springer.com/book/10.1007/978-3-030-70006-5

Keywords

Big Data Analytics
Big Data Modeling
Big Data Toolkits
Domain Specific Visual Languages
End-user Tools

Access to Document

10.5220/0009192900150026

315874427-oaFinal published version, 3.04 MB

Cite this

Khalajzadeh, H., Simmon, A. J., Abdelrazek, M., Grundy, J., Hosking, J., & He, Q. (2020). Visual languages for supporting Big Data Analytics Development. In R. Ali, H. Kaindl, & L. Maciaszek (Eds.), Proceedings of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering (Vol. 1, pp. 15-26). Scitepress. https://doi.org/10.5220/0009192900150026

Khalajzadeh, Hourieh ; Simmon, Andrew J. ; Abdelrazek, Mohamed ; Grundy, John ; Hosking, John ; He, Qiang. / Visual languages for supporting Big Data Analytics Development. Proceedings of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering. editor / Raian Ali ; Hermann Kaindl ; Leszek Maciaszek. Vol. 1 Setubal Portugal : Scitepress, 2020. pp. 15-26

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title = "Visual languages for supporting Big Data Analytics Development",

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 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.",

keywords = "Big Data Analytics, Big Data Modeling, Big Data Toolkits, Domain Specific Visual Languages, End-user Tools",

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

year = "2020",

doi = "10.5220/0009192900150026",

language = "English",

volume = "1",

pages = "15--26",

editor = "Raian Ali and Hermann Kaindl and Leszek Maciaszek",

booktitle = "Proceedings of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering",

publisher = "Scitepress",

note = "International Conference on Evaluation of Novel Approaches to Software Engineering 2020, ENASE 2020 ; Conference date: 05-05-2020 Through 06-05-2020",

url = "https://web.archive.org/web/20191218164753/http://www.enase.org/, https://www.scitepress.org/ProceedingsDetails.aspx?ID=58GseuYgkNA=&t=1, https://link.springer.com/book/10.1007/978-3-030-70006-5",

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Khalajzadeh, H, Simmon, AJ, Abdelrazek, M, Grundy, J, Hosking, J & He, Q 2020, Visual languages for supporting Big Data Analytics Development. in R Ali, H Kaindl & L Maciaszek (eds), Proceedings of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering. vol. 1, Scitepress, Setubal Portugal, pp. 15-26, International Conference on Evaluation of Novel Approaches to Software Engineering 2020, Prague, Czech Republic, 5/05/20. https://doi.org/10.5220/0009192900150026

Visual languages for supporting Big Data Analytics Development. / Khalajzadeh, Hourieh; Simmon, Andrew J.; Abdelrazek, Mohamed; Grundy, John; Hosking, John; He, Qiang.

Proceedings of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering. ed. / Raian Ali; Hermann Kaindl; Leszek Maciaszek. Vol. 1 Setubal Portugal : Scitepress, 2020. p. 15-26.

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

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T1 - Visual languages for supporting Big Data Analytics Development

AU - Khalajzadeh, Hourieh

AU - Simmon, Andrew J.

AU - Abdelrazek, Mohamed

AU - Grundy, John

AU - Hosking, John

AU - He, Qiang

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AB - 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.

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KW - Big Data Toolkits

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BT - Proceedings of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering

A2 - Ali, Raian

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ER -

Khalajzadeh H, Simmon AJ, Abdelrazek M, Grundy J, Hosking J, He Q. Visual languages for supporting Big Data Analytics Development. In Ali R, Kaindl H, Maciaszek L, editors, Proceedings of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering. Vol. 1. Setubal Portugal: Scitepress. 2020. p. 15-26 https://doi.org/10.5220/0009192900150026

Visual languages for supporting Big Data Analytics Development

Abstract

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

Visual languages for supporting Big Data Analytics Development

Abstract

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