A suite of visual languages for model-driven development of statistical surveys and services. (February 2015)

• Record Type: Journal Article
• Authors: Kim, Chul Hwee; Grundy, John; Hosking, John
• Is Part Of: Journal of visual languages & computing. Volume 26(2015)
• Page Start: 99
• Page End: 125
• Publication Date: 2015-02
• Subjects: Statistical surveys -- Domain-specific visual languages -- Web service generation -- Information visualisation; Visual programming languages (Computer science) -- Periodicals; Visual programming (Computer science) -- Periodicals; Programming languages (Electronic computers) -- Semantics -- Periodicals; Langages de programmation visuelle -- Périodiques; Programmation visuelle -- Périodiques; Langages de programmation -- Sémantique -- Périodiques; Programming languages (Electronic computers) -- Semantics; Visual programming (Computer science); Visual programming languages (Computer science); Periodicals; Electronic journals; 005
• DOI: 10.1016/j.jvlc.2014.11.005
• Languages: English
• ISSNs: 1045-926X

Abstract

Abstract: 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. Highlights: We describe a suite of visual languages for statistical survey design. We describe environment to support these domain-specific visual languages. We describe approach to generating web services supporting modelled statistical survey techniques. We describe detailed evaluations of approach including with target end users (statisticians) showing its effectiveness.