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Integration strategies for Computational Science & Engineering software

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1 Author(s)
Bartlett, R.A. ; Dept. of Optimization & Uncertainty Qualification, Sandia Nat. Labs., Albuquerque, NM

In order to make significant progress in solving challenging problems in Computational Science & Engineering (CS&E), we need to integrate a large amount of software written by different groups of experts. Modern Lean/Agile methodologies would seem to provide a good foundation for research-driven development of complex CS&E software. Here, we describe issues related to the integration of CS&E software and propose different integration processes tailored to the special challenges in CS&E. We also describe practical experience with some of these tailored integration strategies related to Trilinos and some of its important application customers at Sandia National Labs.

Published in:

Software Engineering for Computational Science and Engineering, 2009. SECSE '09. ICSE Workshop on

Date of Conference:

23-23 May 2009