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Title: End-user programming in multiple languages
Author: Hague, R. G.
Awarding Body: University of Cambridge
Current Institution: University of Cambridge
Date of Award: 2005
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Advances in user interface technology have removed the need for the majority of users to program, but they do not allow the automation of repetitive or indirect tasks. End-user programming facilities solve this problem without requiring users to learn and use a conventional programming language, but must be tailored to specific types of end user. In situations where the user population is particularly diverse, this presents a problem. In addition, studies have shown that the performance of tasks based on the manipulation and interpretation of data depends on the way in which the data is represented. Different representations may facilitate different tasks, and there is not necessarily a single, optimal representation that is best for all tasks. In many cases, the choice of representation is also constrained by other factors, such as display size. It would be advantageous for an end-user programming system to provide multiple, interchangeable representations of programs. This dissertation describes an architecture for providing end-user programming facilities in the networked home, a context with a diverse user population, and a wide variety of input and output devices. The Media Cubes language, a novel end-user programming language, is introduced as the context that lead to the development of the architecture. A framework for translation between languages via a common intermediate form is then described, with particular attention paid to the requirements of mappings between languages and the intermediate form. The implementation of Lingua Franca, a system realizing this framework in the given context, is described. Finally, the system is evaluated by considering several end-user programming languages implemented within this system. It is concluded that translation between programming languages, via a common intermediate form, is viable for systems within a limited domain, and discuss the wider applicability of the tech­nique.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available