4 research outputs found

    Implementation and Evaluation of Balanced and Nested Grid (Bang) File Structures

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    Computinq and Information Science

    Models of information: The feasibility of measuring the stability of data models.

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    The theory of data modelling makes a variety of claims about schema stability. This research determined the current state of data modelling practice, and tested hypotheses related to measuring model stability. The research developed a method whereby the major elements of a data model can be consistently represented whatever process was originally used for modelling. This was achieved through a construction of a logical relational schema from the record design. The construction/reconstruction process attempted to identify the primary meaning primitives of a data model in order to track changes to them in different iterations of the application. The stability data collection process was applied to a case study followed by a series of models to generate further data. The early evidence indicated that data model instability has it roots in errors in modelling, errors in the semantic analysis whether done consciously or intuitively, and in changes to the requirements brought on by changes to the "reality". This research suggested that some of the elements of a data model are significantly more important than others. The research documented problems associated with the transformation of natural language into the constraints of data dictionaries. This exploration into the potential application of linguistic research into systems theory and practice identified a number of theoretically interesting problems, such as variable semantic determination. The discussion outlined some specific techniques an analyst can use to improve the process of semantic analysis. The work suggested that there should be greater concentration on the question of data model evolvability, and the appropriate preservation of meaning across model versions, and not necessarily on data model stability

    Surface interaction : separating direct manipulation interfaces from their applications.

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    To promote both quality and economy in the production of applications and their interactive interfaces, it is desirable to delay their mutual binding. The later the binding, the more separable the interface from its application. An ideally separated interface can factor tasks from a range of applications, can provide a level of independence from hardware I/O devices, and can be responsive to end-user requirements. Current interface systems base their separation on two different abstractions. In linguistic architectures, for example User Interface Management Systems in the Seeheim model, the dialogue or syntax of interaction is abstracted in a separate notation. In agent architectures like Toolkits, interactive devices, at various levels of complexity, are abstracted into a class or call hierarchy. This Thesis identifies an essential feature of the popular notion of direct manipulation: directness requires that the same object be used both for output and input. In practice this compromises the separation of both dialogue and devices. In addition, dialogue cannot usefully be abstracted from its application functionality, while device abstraction reduces the designer's expressive control by binding presentation style to application semantics. This Thesis proposes an alternative separation, based on the abstraction of the medium of interaction, together with a dedicated user agent which allows direct manipulation of the medium. This interactive medium is called the surface. The Thesis proposes two new models for the surface, the first of which has been implemented as Presenter, the second of which is an ideal design permitting document quality interfaces. The major contribution of the Thesis is a precise specification of an architecture (UMA), whereby a separated surface can preserve directness without binding in application semantics, and at the same time an application can express its semantics on the surface without needing to manage all the details of interaction. Thus UMA partitions interaction into Surface Interaction, and deep interaction. Surface Interaction factors a large portion of the task of maintaining a highly manipulable interface, and brings the roles of user and application designer closer
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