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https://github.com/revng/revng
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Andrea Gussoni
be72da8b48
We now reduce the number of cases in which we restart the collection of the `DivergenceDescriptor`s after a IDS modification on the `ScopeGraph` is performed. We previously restarted the collection after each IDS transformation. Now, restart is only performed after IDS is applied on a `Conditional` node whose all successors are divergent exits which are `goto` exits. After such `Conditional` is processed, it may happen that a new `goto` exit becomes divergent for another `Conditional` upwards in the `ScopeGraph`. Therefore, if we do not restart, it may happen that a non-`goto` exit is processed before a `goto` exit, which may lead to suboptimal situations in the emitted number of `goto`s, due to how IDS interacts with `MaterializeTrivialGotos`.
The rev.ng binary analysis framework and decompiler
Welcome to the rev.ng project!
rev.ng is an open source binary analysis framework based on LLVM and QEMU. It features a full-fledged decompiler. It's developed by rev.ng Labs in the open.
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rev.ng depends on certain on GPLv2 components (in particular, QEMU), so the project is GPLv2-licensed as a whole. However, the individual files are licensed under the MIT license.