Formal verification, scientific code, and the epistemological heterogeneity of computational science


Various errors can affect scientific code and detecting them is a central concern within computational science. Could formal verification methods, which are now available tools, be widely adopted to guarantee the general reliability of scientific code? After discussing their benefits and drawbacks, we claim that, absent significant changes as regards features like their user-friendliness and versatility, these methods are unlikely to be adopted throughout computational science, beyond certain specific contexts for which they are well-suited. This issue exemplifies the epistemological heterogeneity of computational science: profoundly different practices can be appropriate to meet the reliability challenge that rises for scientific code.



    Upload a copy of this work     Papers currently archived: 94,439

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

  • Only published works are available at libraries.

Similar books and articles

Computational Scientific Discovery.D. Sozou Peter, C. Lane Peter, Addis Mark & Gobet Fernand - 2017 - In Magnani Lorenzo & Bertolotti Tommaso Wayne (eds.), Springer Handbook of Model-Based Science. Springer. pp. 719-734.


Added to PP

29 (#548,205)

6 months
29 (#130,449)

Historical graph of downloads
How can I increase my downloads?

Author Profiles

Vincent Ardourel
Centre National de la Recherche Scientifique

Citations of this work

No citations found.

Add more citations

References found in this work

No references found.

Add more references