Better Scientific Software
Event Type
Tutorial
Hot Topics
TimeMonday, November 13th8:30am -
12pm
Location303
DescriptionThe computational science and engineering (CSE)
community is in the midst of an extremely challenging
period created by the confluence of disruptive changes
in computing architectures, demand for greater
scientific reproducibility, and new opportunities for
greatly improved simulation capabilities, especially
through coupling physics and scales. Computer
architecture changes require new software design and
implementation strategies, including significant
refactoring of existing code. Reproducibility demands
require more rigor across the entire software endeavor.
Code coupling requires aggregate team interactions
including integration of software processes and
practices. These challenges demand large investments in
scientific software development and improved practices.
Focusing on improved developer productivity and software
sustainability is both urgent and essential.
This tutorial will provide information and hands-on experience with software practices, processes, and tools explicitly tailored for CSE. Goals are improving the productivity of those who develop CSE software and increasing the sustainability of software artifacts. We discuss practices that are relevant for projects of all sizes, with emphasis on small teams, and on aggregate teams composed of small teams. Topics include software licensing, effective models, tools, and processes for small teams (including agile workflow management), reproducibility, and scientific software testing (including automated testing and continuous integration).
This tutorial will provide information and hands-on experience with software practices, processes, and tools explicitly tailored for CSE. Goals are improving the productivity of those who develop CSE software and increasing the sustainability of software artifacts. We discuss practices that are relevant for projects of all sizes, with emphasis on small teams, and on aggregate teams composed of small teams. Topics include software licensing, effective models, tools, and processes for small teams (including agile workflow management), reproducibility, and scientific software testing (including automated testing and continuous integration).
