3 research outputs found

    Rigorous Development of Composite Grid Services

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    CRESS (Communication Representation Employing Systematic Specification) is introduced as notation, a methodology and a toolset for service development. The article focuses on rigorous development of composite grid services, with particular emphasis on the principles behind the methodology. A straightforward graphical notation is used to describe grid services. These are then automatically specified, analysed and implemented. Analysis includes formal verification of desirable service properties, formal validation of test scenarios, testing of implementation functionality, and evaluation of implementation performance. The case study that illustrates the approach is document content analysis to compare two pieces of text. This involves two composite services supported by two partner services. The usability of the service design notation is assessed, and a comparison is made of the approach with similar ones. These show that the CRESS approach to developing services is usable and more complete than other comparable approaches

    Workflows for Quantitative Data Analysis in The Social Sciences

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    The background is given to how statistical analysis is used by quantitative social scientists. Developing statistical analyses requires substantial effort, yet there are important limitations in current practice. This has motivated the authors to create a more systematic and effective methodology with supporting tools. The approach to modelling quantitative data analysis in the social sciences is presented. Analysis scripts are treated abstractly as mathematical functions and concretely as web services. This allows individual scripts to be combined into high-level workflows. A comprehensive set of tools allows workflows to be defined, automatically validated and verified, and automatically implemented. The workflows expose opportunities for parallel execution, can define support for proper fault handling, and can be realised by non-technical users. Services, workflows and datasets can also be readily shared. The approach is illustrated with a realistic case study that analyses occupational position in relation to health
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