Most programs today are written not by professional software developers, but by people with
expertise in other domains working towards goals for which they need computational …

Context Scientific software plays an important role in critical decision making, for example
making weather predictions based on climate models, and computation of evidence for …

With the diversification of generative artificial intelligence (AI) applications, the interest in
their use in every segment and field of society in recent years has been increasing rapidly …

Adding an ability for a system to learn inherently adds uncertainty into the system. Given the
rising popularity of incorporating machine learning into systems, we wondered how the …

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New knowledge in science and engineering relies increasingly on results produced by
scientific software. Therefore, knowing how scientists develop and use software in their …

Intelligent systems are gaining in popularity and receiving increased media attention, but
little is known about how people actually go about develo** them. In this paper, we …

Despite the increasing importance of in silico experiments to the scientific discovery process,
state-of-the-art software engineering practices are rarely adopted in computational science …

Climate scientists build large, complex simulations with little or no software engineering
training—and don't readily adopt the latest software engineering tools and techniques. This …

Context: Scientists have become increasingly reliant on software in order to perform
research that is too time-intensive, expensive, or dangerous to perform physically. Because …