Profiling symbolic execution by measuring the symbolic heap and the symbolic execution graph to ensure solver-aided tools are performant: https://2018.splashcon.org/event/splash-2018-oopsla-finding-code-that-explodes-under-symbolic-evaluation
(Part of the remarkable Rosette project.)
miniblog.
Related Posts
I don't care what your project's test coverage is, but the fact that you're measuring it is a great sign.
On the challenge of measuring spam prevalence externally, because historical data tends to be cleaner:
Measuring Go program (GoAWK) performance from 1.2 to 1.18: https://benhoyt.com/writings/go-version-performance/
The Go 1.3 runtime led to a 2x speedup in GoAWK, and performance wins have continued since. It's easy to see popular PLs as largely finished, but the wins here show there's still opportunities.