6,826 research outputs found

    Annotated bibliography of Software Engineering Laboratory literature

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    An annotated bibliography of technical papers, documents, and memorandums produced by or related to the Software Engineering Laboratory is given. More than 100 publications are summarized. These publications cover many areas of software engineering and range from research reports to software documentation. All materials have been grouped into eight general subject areas for easy reference: The Software Engineering Laboratory; The Software Engineering Laboratory: Software Development Documents; Software Tools; Software Models; Software Measurement; Technology Evaluations; Ada Technology; and Data Collection. Subject and author indexes further classify these documents by specific topic and individual author

    Comparison of approaches for developing self-adaptive systems

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    The engineering of software systems enables developers to create very powerful, complex and highly customized software systems by utilizing newest technical capabilities. However, these systems often are error-prone, inflexible, non-reusable and expensive to maintain. Self-adaptation attends to these challenges, offering new ways to automate the adjustment of a system's structure and state. For that reason, many software development approaches specifically consider self-adaptability, leading to a high diversity of methodologies with different characteristics and areas of application. This work addresses this issue by presenting a taxonomy for the analysis and comparison of different approaches for developing self-adaptive systems. In addition, different sample approaches are presented, demonstrating how these dimensions can be applied to compare and classify related work

    Evaluation of Frame- and Feature-based Software Product Line Tools from the Viewpoint of Mass Customization by End Users

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    Customers expect Information and Communications Technology (ICT) platforms and applications to deliver services customized to their needs. Software product line (SPL) paradigm uses platforms and variability management to develop mass-customizable software applications. The paradigm necessitates effective software tools to manage platform and application artifacts and traceability and variability information. This paper constructs a comprehensive but lightweight tool evaluation framework and uses it to evaluate two tools, XML-based variant configuration language (XVCL) and FeaturePlugin – a feature modeling plug-in for Eclipse Integrated Development Environment. The paper analyzes the capabilities of the tools for enabling the mass customization of software applications by the end users performing complex workflows. Both the XVCL and FeaturePlugin tool envisage more efficient software system development by means of reusability, support for abstraction, and configuration mechanisms. Future research is needed to refine and validate the evaluation framework in the context of other types of SPL tools

    RICIS Symposium 1988

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    Integrated Environments for Large, Complex Systems is the theme for the RICIS symposium of 1988. Distinguished professionals from industry, government, and academia have been invited to participate and present their views and experiences regarding research, education, and future directions related to this topic. Within RICIS, more than half of the research being conducted is in the area of Computer Systems and Software Engineering. The focus of this research is on the software development life-cycle for large, complex, distributed systems. Within the education and training component of RICIS, the primary emphasis has been to provide education and training for software professionals

    A generic architecture for interactive intelligent tutoring systems

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    This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University, 07/06/2001.This research is focused on developing a generic intelligent architecture for an interactive tutoring system. A review of the literature in the areas of instructional theories, cognitive and social views of learning, intelligent tutoring systems development methodologies, and knowledge representation methods was conducted. As a result, a generic ITS development architecture (GeNisa) has been proposed, which combines the features of knowledge base systems (KBS) with object-oriented methodology. The GeNisa architecture consists of the following components: a tutorial events communication module, which encapsulates the interactive processes and other independent computations between different components; a software design toolkit; and an autonomous knowledge acquisition from a probabilistic knowledge base. A graphical application development environment includes tools to support application development, and learning environments and which use a case scenario as a basis for instruction. The generic architecture is designed to support client-side execution in a Web browser environment, and further testing will show that it can disseminate applications over the World Wide Web. Such an architecture can be adapted to different teaching styles and domains, and reusing instructional materials automatically can reduce the effort of the courseware developer (hence cost and time) in authoring new materials. GeNisa was implemented using Java scripts, and subsequently evaluated at various commercial and academic organisations. Parameters chosen for the evaluation include quality of courseware, relevancy of case scenarios, portability to other platforms, ease of use, content, user-friendliness, screen display, clarity, topic interest, and overall satisfaction with GeNisa. In general, the evaluation focused on the novel characteristics and performances of the GeNisa architecture in comparison with other ITS and the results obtained are discussed and analysed. On the basis of the experience gained during the literature research and GeNisa development and evaluation. a generic methodology for ITS development is proposed as well as the requirements for the further development of ITS tools. Finally, conclusions are drawn and areas for further research are identified
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