Generating Web Services for Statistical Survey Packages from Domain-specific Visual Languages

Authors:
Chul Hwee Kim;John Hosking;John Grundy
Affiliations:
University of Auckland, Private Bag 92019, Auckland, New Zealand;University of Auckland, Private Bag 92019, Auckland, New Zealand;University of Auckland, Private Bag 92019, Auckland, New Zealand
Venue:
IWICSS '07 Proceedings of the Second International Workshop on Incorporating COTS Software into Software Systems: Tools and Techniques
Year:
2007

Citing 6
Cited 0

XML Web Services Automation: A Software Engineering Approach

APSEC '02 Proceedings of the Ninth Asia-Pacific Software Engineering Conference
A Suite of Visual Languages for Statistical Survey Specification

VLHCC '05 Proceedings of the 2005 IEEE Symposium on Visual Languages and Human-Centric Computing
A generic approach to supporting diagram differencing and merging for collaborative design

Proceedings of the 20th IEEE/ACM international Conference on Automated software engineering
A visual language and environment for composing web services

Proceedings of the 20th IEEE/ACM international Conference on Automated software engineering
Visual composition of web services

HCC '03 Proceedings of the 2003 IEEE Symposium on Human Centric Computing Languages and Environments
Model Driven Design and Implementation of Statistical Surveys

HICSS '07 Proceedings of the 40th Annual Hawaii International Conference on System Sciences

Quantified Score

Hi-index	0.00

Visualization

Abstract

High-quality, large-scale statistical survey design, data analysis and information visualisation can be very complex. Current statistical COTS software tools provide powerful statistical processing and analysis support but very limited mechanisms for designing, implementing and reusing such support. We have been developing a highlevel, domain-specific visual language, the Survey Design Language (SDL), and associated support tool, SDLTool, in conjunction with statisticians. In this paper we describe SDLTool's support for turning high-level survey design models into widely accessible web services to share complex statistical survey technique implementations run by COTS statistical packages.