Summary:
Treat `MainThread` and `WorkerThread` annotations.
Fix wrong test (`AnyThread` cannot call a UI-only method, because it can be called by ANY thread ;) ) See https://developer.android.com/reference/android/support/annotation/AnyThread
Clean up the code a bit.
Reviewed By: jvillard
Differential Revision: D16183798
fbshipit-source-id: 6b7e3b27e
Summary: There were FNs caused by only looking for the immediate predecessors when we were checking the pattern. This diff heuristically chases 4 more predecessors to reduce the number of FNs.
Reviewed By: ngorogiannis
Differential Revision: D16149983
fbshipit-source-id: f65c57a0a
Summary: Adding typechecks to prevent potential FPs like the added test
Reviewed By: ngorogiannis
Differential Revision: D16149511
fbshipit-source-id: 6d3fe0ad4
Summary:
- Add allocation costs to `costs-report.json` and enable diffing over allocation costs.
- Also, let's be more consistent and modular in naming our cost issues.
- introduce a generic issue type `X_TIME_COMPLEXITY_INCREASE` where `X` can be one of the cost kinds. If the function is on the cold start, issue can have the `COLD_START` suffix. Similarly for infinite/zero/expensive calls.
- Change `PERFORMANCE_VARIATION` -> `EXECUTION_TIME_COMPLEXITY_INCREASE`
- Add new issue type for `ALLOCATION_COMPLEXITY_INCREASE_COLD_START` which will be enabled by default
- Refactor cost issues to be more modular and succinct. This also makes addition of a new cost kind very easy by adding the kind into the `enabled_cost_kinds` list in `CostKind.ml`
Reviewed By: mbouaziz
Differential Revision: D15822681
fbshipit-source-id: cf89ece59
Summary:
This is a simple checker that identifies inefficient uses of `keySet` iterator where (not only the key but also) the value is accessed via `get(key)`. It is more efficient to use `entrySet` iterator which already returns both key-value pairs. This optimization would get rid of many extra lookups which can be expensive.
We simply traverse the CFG starting from the loop head upwards and pick up the map that is iterated over. Then, we check in the loop nodes if there is a call to `get(...)` over this map. If, so we report.
Reviewed By: ngorogiannis
Differential Revision: D15737779
fbshipit-source-id: 702465b4e
Summary:
The synthetic methods from `topl.Property` are now nonempty: they
simulate a nondeterministic automaton.
Reviewed By: jvillard
Differential Revision: D15668471
fbshipit-source-id: 050408283
Summary:
Instrument SIL according to TOPL properties. Roughly, the
instrumentation is a set of calls into procedures that simulate a
nondeterministic automaton. For now, those procedures are NOP dummies.
Reviewed By: jvillard
Differential Revision: D15063942
fbshipit-source-id: d22c2f6fa
Summary:
- Rename `invariantModels` to `purityModels`
- Track which arguments are modified in purity models. Before we were invalidating all arguments of impure modeled functions. Instead, now we only invalidate modified args given in the model. This should ideally result in more precision in the analysis.
- Add some more purity models for :`cast`, `new`, `new_array` and `Math.random`
Reviewed By: mbouaziz
Differential Revision: D15535332
fbshipit-source-id: 5395800d9
Summary:
Increases precision a bit. I didn't observe speed problems on what I tested. (But, who knows?)
Closes https://github.com/facebook/infer/pull/799
Reviewed By: jvillard
Differential Revision: D6284206
Pulled By: rgrig
fbshipit-source-id: 6f1e8631f
Nikos Gorogiannis
Ezgi Çiçek
Radu Grigore
Josh Berdine
Jeremy Dubreil
Andrew Adams-Moran
Radu Grigore