23 research outputs found

    Sustainable Software Ecosystems: Software Engineers, Domain Scientists, and Engineers Collaborating for Science

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    The development of scientific software is often a partnership between domain scientists and scientific software engineers. It is especially important to embrace these collaborations when developing advanced scientific software, where sustainability, reproducibility, and extensibility are important. In the ideal case, as discussed in this manuscript, this brings together teams composed of the world's foremost scientific experts in a given field with seasoned software developers experienced in forming highly collaborative teams working on software to further scientific research.Comment: 4 pages, submission for WSSSPE

    A Schooling on Their Implications for Software Engineering [Trends]

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    A discussion is presented on trends in software engineering. This can be done by simply extrapolating some of the popular, current trends. And, in fact, we examine a few of these obvious indicators. However, software engineering has had new approaches that are more revolutionary than evolutionary. In particular, we try to discern trends in software engineering based on trends in delivered software systems

    IT Mega Projects: What They Are and Why They Are Special

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    Sociocultural Learning: A Perspective on GSS-Enabled Global Education

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    Virtual teams are rapidly developing in organisations of the new economy. As educators, we have a responsibility to ensure that our students are appropriately prepared for work in the virtual workspace, where teams may cross time, geographical, and cultural boundaries. In this article, the culturally sensitive theory of sociocultural learning is combined with GSS (Group Support Systems) in an illustration of how cross-cultural, globally distributed virtual teams of students located in The Netherlands, Greece, and Hong Kong work on vested interest projects. Finally, a set of critical success factors that inform virtual learning contexts is derived from our findings and recommendations are made for operational practice in the virtual work space

    Framework for implementing track deterioration analytics into railway asset management

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    Purpose: Recent research outputs can be difficult to implement into ongoing safety critical processes. Hence, research is well beyond current practices in railway asset management. This paper demonstrates the process of creating tangible change within a railway asset management organization by introducing a framework for advancing track geometry deterioration analyses (TGDA) in practice. Design/methodology/approach: The research was conducted in three parts: (1) maturity models were reviewed and adapted as the basis for the framework, (2) the initial maturity level was investigated by conducting semi-structured expert interviews, and (3) a framework for development was created in cooperation with stakeholders during three workshops. The methodology and findings were tested and applied in the Finnish state rail network asset management. Findings: The main output of this study is the framework for advancing TGDA in railway asset management. The novel framework provides structure for controlled incremental development, which is essential when altering a safety critical process. Practical implications: The research process was successfully applied in Finland. Following the steps presented in this article, any organization can apply the framework to plan their development schemes for railway asset management. Originality/value: Full-scale implementation of novel models and methods is often overlooked, which prevents practical asset management from obtaining tangible benefits from research. This research provides an innovative approach in narrowing the overlooked research gap and brings research results within the reach of practitioners.publishedVersionPeer reviewe
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