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Ongoing verification of a multiphysics community code: FLASH
Author(s) -
Dubey Anshu,
Weide Klaus,
Lee Dongwook,
Bachan John,
Daley Christopher,
Olofin Samuel,
Taylor Noel,
Rich Paul M.,
Reid Lynn B.
Publication year - 2015
Publication title -
software: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.437
H-Index - 70
eISSN - 1097-024X
pISSN - 0038-0644
DOI - 10.1002/spe.2220
Subject(s) - regression testing , computer science , unit testing , code (set theory) , multiphysics , test suite , suite , implementation , software engineering , variety (cybernetics) , flash (photography) , software , test case , programming language , data mining , regression analysis , machine learning , software construction , software system , artificial intelligence , engineering , set (abstract data type) , structural engineering , archaeology , finite element method , history , art , visual arts
SUMMARY When developing a complex, multi‐authored code, daily testing on multiple platforms and under a variety of conditions is essential. It is therefore necessary to have a regression test suite that is easily administered and configured, as well as a way to easily view and interpret the test suite results. We describe the methodology for verification of FLASH, a highly capable multiphysics scientific application code with a wide user base. The methodology uses a combination of unit and regression tests and an in‐house testing software that is optimized for operation under limited resources. Although our practical implementations do not always comply with theoretical regression‐testing research, our methodology provides a comprehensive verification of a large scientific code under resource constraints.Copyright © 2013 John Wiley & Sons, Ltd.