In computational science, what often causes analysis results to differ upon re-running code?

Answer

Dependency drift and environment mismatches.

Computational issues often stem from differences in the execution environment, such as using a different version of Python or an incompatible library version, even if the core logic is the same.

In computational science, what often causes analysis results to differ upon re-running code?
methodexperimentreliabilityreproducibilityvalidity