Continuous Integration for Concurrent Computational Framework and Application Development

Continuous Integration for Concurrent Computational Framework and Application Development

Development of scientific software relies on specialized knowledge from a broad range of diverse disciplines including computer science, mathematics, engineering, and the natural sciences.  Since it is rare for a given practitioner to simultaneously be an expert in each of the aforementioned fields,...

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Bibliographic Details
Main Authors: Derek R Gaston, John W Peterson, Cody J Permann, David Andrs, Andrew E Slaughter, Jason M Miller
Format: Article
Language:English
Published: Ubiquity Press 2014-07-01
Series:Journal of Open Research Software
Subjects:
continuous integration
MOOSE
open source software
scientific software
Online Access:http://openresearchsoftware.metajnl.com/articles/22
Description
Summary:Development of scientific software relies on specialized knowledge from a broad range of diverse disciplines including computer science, mathematics, engineering, and the natural sciences.  Since it is rare for a given practitioner to simultaneously be an expert in each of the aforementioned fields, teamwork and collaboration are now the norm for scientific software development.  This short paper discusses specific software development conventions that have led to the success of the MOOSE multiphysics framework at Idaho National Laboratory (INL), and ongoing plans to bring MOOSE to a wider community of developers as an open source project on GitHub.
ISSN:2049-9647

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