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引用次数: 3

摘要

我们叙述了在软件工程(SE)和密集线性代数(DLA)库领域的研究人员之间的合作的见解。我们强调了计算科学的软件开发传统上与其他领域的软件开发的不同之处。我们观察到科学软件(至少是DLA库)通常是由领域专家而不是大批程序员开发的。因此,SE的研究人员需要影响专家的生产力,而不是大众的生产力。我们记录了这些经验教训和其他经验教训。
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DSLs, DLA, DxT, and MDE in CSE
We narrate insights from a collaboration between researchers in Software Engineering (SE) and in the domain of Dense Linear Algebra (DLA) libraries. We highlight our impressions of how software development for computational science has traditionally been different from the development of software in other domains. We observe that scientific software (at least DLA libraries) is often developed by domain experts rather than legions of programmers. For this reason, researchers in SE need to impact the productivity of experts rather than the productivity of the masses. We document this and other lessons learned.
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Implicit provenance gathering through configuration management Exploring issues in software systems used and developed by domain experts DSLs, DLA, DxT, and MDE in CSE Implementing continuous integration software in an established computational chemistry software package Design and rationale of a quality assurance process for a scientific framework
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