Projects per year
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 | |
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 |
Keywords
- Big Data Analytics
- Big Data Modeling
- Big Data Toolkits
- Domain Specific Visual Languages
- End-user Tools
-
HCMDSE: Human-centric Model-driven Software Engineering
Australian Research Council (ARC)
3/02/20 → 2/02/25
Project: Research
-
Domain-specific visual languages for big data analytics applications
Grundy, J., Abdelrazek, M., He, Q. & Hosking, J.
2/05/18 → 20/04/20
Project: Research