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 …

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 …

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 …

The use of software is pervasive in all fields of science. Associated software development
efforts may be very large, long lived, and complex, requiring the commitment of significant …

Abstract The adoption of Domain-Specific Languages (DSLs) is regarded as an approach to
reduce the accidental complexity of software systems development. The availability of …

Software for scientific research purposes has received increased attention in recent years.
Case studies have noted development practices, limitations, and problems in the …

Scientific and engineering research is heavily dependent on effective development and use
of software artifacts. Many of these artifacts are produced by the scientists themselves, rather …

Scientists and engineers devote considerable effort to developing large, complex codes to
solve important problems. However, while they often develop useful code, many scientists …

As software engineering educators, it is important for us to realize the increasing domain-
specificity of software, and incorporate these changes in our design of teaching material …

Using our decades-long experience in radiative transfer (RT) code development for Earth
science, we endeavor to reduce the knowledge gap of bringing RT from theory to code …