Summary:
Computing sledge's equality relation and normalising terms is costly. We
can avoid doing that most of the time by keeping the sledge path
condition lazily evaluated and only forcing it down to a value at two
critical points in the analysis:
1. Summary creation, to avoid storing unsatisfiable pre/posts that will have
to be needlessly executed by callers. This also saves us from having
to serialise the closures involved in the uncomputed form of lazy
values inside the pulse summaries.
2. Before reporting errors we check in the state is in fact satisfiable.
If not we just prune it away at that point.
This yields ~4x speedup on some targets.
Reviewed By: ezgicicek
Differential Revision: D21129759
fbshipit-source-id: a75fdd3bc
Summary:
Add a path condition to each symbolic state, represented in sledge's arithmetic domain. This gives a precise account of arithmetic constraints. In particular, it is relation and thus is more robust in the face of inter-procedural analysis.
This is gated behind a flag for now as there are performance issues with the new arithmetic.
Reviewed By: jberdine
Differential Revision: D20393947
fbshipit-source-id: b780de22a
Summary:
The "interface" modules define short forms for the internals of pulse
and also serve as a guide of which modules you are supposed to use at
which "level" in the pulse domains (base domain vs abductive domain vs
higher-level PulseOperations.ml). Make sure they are used.
Reviewed By: skcho
Differential Revision: D21022927
fbshipit-source-id: f890df245
Summary:
PulseAbductiveDomain.ml can be split into two distinct parts:
1. The definition of the "abductive domain" itself. This remains in that
file.
2. How to apply a given pre/post pair to the current state (during a
function call). This is about the same size as 1. in terms of lines
of code(!) and is now in PulseInterproc.ml.
Reviewed By: ezgicicek
Differential Revision: D21022921
fbshipit-source-id: 431fe061e
Jules Villard