Clone and graft: Testing scientific applications as they are built

Bruno Turcksin, Heister, Timo, Wolfgang Bangerth · arXiv (Cornell University) · 2015

This article describes our experience developing and maintaining automated tests for scientific applications. The main idea evolves around building on already existing tests by cloning and grafting. The idea is demonstrated on a minimal model problem written in Python.

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