Reproducibility has long been a tenet of science but has been challenging to achieve—we
learned this the hard way when our old approaches proved inadequate to efficiently …

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 …

Computational neuroscience has produced a diversity of software for simulations of
networks of spiking neurons, with both negative and positive consequences. On the one …

Chaste—C ancer, H eart A nd S oft T issue E nvironment—is an open source C++ library for
the computational simulation of mathematical models developed for physiology and biology …

In this paper we tackle the problem of connecting low-level Fortran programs to high-level
Python programs. The difficulties of mixed language programming between Fortran and C …

Software pervades every domain of science (–), perhaps nowhere more decisively than in
modeling. In key scientific areas of great societal importance, models and the software that …

Since its start in 1998, Software Carpentry has evolved from a week-long training course at
the US national laboratories into a worldwide volunteer effort to improve researchers' …

The publication and open exchange of knowledge and material form the backbone of
scientific progress and reproducibility and are obligatory for publicly funded research …

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 …

Some time ago, a chasm opened between the scientific-computing community and the
software engineering community. Originally, computing meant scientific computing. Today …