A suite of visual languages for model-driven development of statistical surveys and services

Kim, Chul Hwee, Grundy, John and Hosking, John 2015, A suite of visual languages for model-driven development of statistical surveys and services, Journal of visual languages and computing, vol. 26, pp. 99-125, doi: 10.1016/j.jvlc.2014.11.005.

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Title A suite of visual languages for model-driven development of statistical surveys and services
Author(s) Kim, Chul Hwee
Grundy, JohnORCID iD for Grundy, John orcid.org/0000-0003-4928-7076
Hosking, John
Journal name Journal of visual languages and computing
Volume number 26
Start page 99
End page 125
Total pages 27
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2015-02
ISSN 1045-926X
Keyword(s) Science & Technology
Computer Science, Software Engineering
Computer Science
Statistical surveys
Domain-specific visual languages
Web service generation
Information visualisation
Summary Objective: To provide statistician end users with a visual language environment for complex statistical survey design and implementation. Methods: We have developed, in conjunction with professional statisticians, the Statistical Design Language (SDL), an integrated suite of visual languages aimed at supporting the process of designing statistical surveys, and its support environment, SDLTool. SDL comprises five diagrammatic notations: survey diagrams, data diagrams, technique diagrams, task diagrams and process diagrams. SDLTool provides an integrated environment supporting design, coordination, execution, sharing and publication of complex statistical survey techniques as web services. SDLTool allows association of model components with survey artefacts, including data sets, metadata, and statistical package analysis scripts, with the ability to execute elements of the survey design model to implement survey analysis. Results: We describe three evaluations of SDL and SDLTool: use of the notation by expert statistician to design and execute surveys; useability evaluation of the environment; and assessment of several generated statistical analysis web services. Conclusion: We have shown the effectiveness of SDLTool for supporting statistical survey design and implementation. Practice implications: We have developed a more effective approach to supporting statisticians in their survey design work.
Language eng
DOI 10.1016/j.jvlc.2014.11.005
Field of Research 080309 Software Engineering
0803 Computer Software
1702 Cognitive Science
0801 Artificial Intelligence And Image Processing
Socio Economic Objective 890201 Application Software Packages (excl. Computer Games)
HERDC Research category C1.1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2014, Elsevier
Persistent URL http://hdl.handle.net/10536/DRO/DU:30081622

Document type: Journal Article
Collections: School of Information Technology
2018 ERA Submission
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