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Symbolic computation is an important approach in automated program analysis. Most state-of-the-art tools perform symbolic computation as interpreters and directly maintain symbolic data. In this paper, we show that it is feasible, and in fact practical, to use a compilerbased strategy instead. Using compiler tooling, we propose and implement a transformation which takes a standard program and outputs a program that performs semantically equivalent, but partially symbolic, computation. The transformed program maintains symbolic values internally and operates directly on them hence the program can be processed by a tool without support for symbolic manipulation. The main motivation for the transformation is in symbolic verification, but there are many other possible use-cases, including test generation and concolic testing. Moreover using the transformation simplifies tools, since the symbolic computation is handled by the program directly. We have implemented the transformation at the level of LLVM bitcode. The paper includes an experimental evaluation, based on an explicit-state software model checker as a verification backend.
Spot is a C++17 library for LTL and $$\omega $$ ω -automata manipulation, with command-line utilities, and Python bindings. This paper summarizes its evolution over the past six years, since the release of Spot 2.0, which was the first version to support $$\omega $$ ω -automata with arbitrary acceptance conditions, and the last version presented at a conference. Since then, Spot has been extended with several features such as acceptance transformations, alternating automata, games, LTL synthesis, and more. We also shed some lights on the data-structure used to store automata.Artifact:https://zenodo.org/record/6521395.
Automatic abstraction is a powerful software verification technique. In this paper, we elaborate an abstract domain for C strings, that is, null-terminated arrays of characters. We describe the abstract semantics of basic string operations and prove their soundness with regards to previously established concrete semantics of those operations. In addition to a selection of string functions from the standard C library, we provide semantics for character access and update, enabling automatic lifting of arbitrary string-manipulating code into the domain. The domain we present (called M-String) has two other abstract domains as its parameters: an index (bound) domain and a character domain. Picking different constituent domains allows M-String to be tailored for specific verification tasks, balancing precision against complexity. In addition to describing the domain theoretically, we also provide an executable implementation of the abstract operations. Using a tool which automatically lifts existing programs into the M-String domain along with an explicit-state model checker, we have evaluated the proposed domain experimentally on a few simple but realistic test programs.
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