952,727 research outputs found

    Analysis of the scientific production of the Spanish Software Engineering Community

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    Our group has been working on a report for the Spanish Society of Software Engineering and Software Development Technologies (SISTEDES) to provide a general overview of the Spanish scientific production and its contributions worldwide in the field of Software Engineering. Although a Database solution could have been used, we decided to employ Model-Driven Development (MDD) techniques in order to evaluate their applicability, suitability and fitness for these kinds of purposes, and to learn from the experience in this domain, which combines data integration, large scale models, and complex queries.Universidad de MĂĄlaga. Campus de Excelencia Internacional AndalucĂ­a Tech

    Analysis of the Scientific Production of the Spanish Software Engineering Community

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    Our group has been working on a report for the Spanish Society of Software Engineering and Software Development Technologies (SISTEDES) to provide a general overview of the Spanish scientific production and its contributions worldwide in the field of Software Engineering. Although a Database solution could have been used, we decided to employ Model-Driven Development (MDD) techniques in order to evaluate their applicability, suitability and fitness for these kinds of purposes, and to learn from the experience in this domain, which combines data integration, large scale models, and complex queries.Universidad de MĂĄlaga. Campus de Excelencia Internacional AndalucĂ­a Tech

    Evaluating groupware support for software engineering students

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    Software engineering tasks, during both development and maintenance, typically involve teamwork using computers. Team members rarely work on isolated computers. An underlying assumption of our research is that software engineering teams will work more effectively if adequately supported by network-based groupware technology. Experience of working with groupware and evaluating groupware systems will also give software engineering students a direct appreciation of the requirements of engineering such systems. This research is investigating the provision of such network-based support for software engineering students and the impact these tools have on their groupwork. We will first describe our experiences gained through the introduction of an asynchronous virtual environment ­ SEGWorld to support groupwork during the Software Engineering Group (SEG) project undertaken by all second year undergraduates within the Department of Computer Science. Secondly we will describe our Computer Supported Cooperative Work (CSCW) module which has been introduced into the students' final year of study as a direct result of our experience with SEG, and in particular its role within Software Engineering. Within this CSCW module the students have had the opportunity to evaluate various groupware tools. This has enabled them to take a retrospective view of their experience of SEGWorld and its underlying system, BSCW, one year on. We report our findings for SEG in the form of a discussion of the hypotheses we formulated on how the SEGs would use SEGWorld, and present an initial qualitative assessment of student feedback from the CSCW module

    Evaluating cross-organizational ERP requirements engineering practices: a focus group study

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    This focus group study presents our first validation of practices for engineering the coordination requirements in cross-organizational Enterprise Resource Planning (ERP) projects. The study evaluates 13 practices addressing a variety of coordination aspects crucial to ERP projects. These practices are results in previously published research publications by the first author. The practices are formulated in response to practitioners' needs at ERP adopting organizations. The proposed practices have now reached the stage where we need some independent feedback as to the extent to which they fit the realities of practitioners. We perform this validation by means of a qualitative research approach, namely the focus group method. Current software engineering literature provides few examples of using focus groups in the evaluation of good software development practices. Because of this, providing reflections on our focus-group-based validation experiences will be of value to both the research community and practitioners

    A knowledge based software engineering environment testbed

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    The Carnegie Group Incorporated and Boeing Computer Services Company are developing a testbed which will provide a framework for integrating conventional software engineering tools with Artifical Intelligence (AI) tools to promote automation and productivity. The emphasis is on the transfer of AI technology to the software development process. Experiments relate to AI issues such as scaling up, inference, and knowledge representation. In its first year, the project has created a model of software development by representing software activities; developed a module representation formalism to specify the behavior and structure of software objects; integrated the model with the formalism to identify shared representation and inheritance mechanisms; demonstrated object programming by writing procedures and applying them to software objects; used data-directed and goal-directed reasoning to, respectively, infer the cause of bugs and evaluate the appropriateness of a configuration; and demonstrated knowledge-based graphics. Future plans include introduction of knowledge-based systems for rapid prototyping or rescheduling; natural language interfaces; blackboard architecture; and distributed processin

    Towards understanding software: 15 years in the SEL

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    For 15 years, the Software Engineering Laboratory (SEL) at GSFC has been carrying out studies and experiments for the purpose of understanding, assessing, and improving software, and software processes within a production software environment. The SEL comprises three major organizations: (1) the GSFC Flight Dynamics Division; (2) the University of Maryland Computer Science Department; and (3) the Computer Sciences Corporation Flight Dynamics Technology Group. These organizations have jointly carried out several hundred software studies, producing hundreds of reports, papers, and documents: all describing some aspect of the software engineering technology that has undergone analysis in the flight dynamics environment. The studies range from small controlled experiments (such as analyzing the effectiveness of code reading versus functional testing) to large, multiple-project studies (such as assessing the impacts of Ada on a production environment). The key findings that NASA feels have laid the foundation for ongoing and future software development and research activities are summarized
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