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The dependency pair technique is a powerful method for automated termination and innermost termination proofs of term rewrite systems (TRSs). For any TRS, it generates inequality constraints that have to be satisfied by well-founded orders. We improve the dependency pair technique by considerably reducing the number of constraints produced for (innermost)(More)
Bounded model checking (BMC) of C and C++ programs is challenging due to the complex and intricate syntax and semantics of these programming languages. The BMC tool LLBMC presented in this paper thus uses the LLVM compiler framework in order to translate C and C++ programs into LLVM's intermediate representation. The resulting code is then converted into a(More)
We describe the system AProVE, an automated prover to verify (innermost) termination of term rewrite systems (TRSs). For this system, we have developed and implemented efficient algorithms based on classical simplification orders, dependency pairs, and the size-change principle. In particular, it contains many new improvements of the dependency pair(More)
—Formalizing the semantics of programming languages like C or C++ for bounded model checking can be cumbersome if complete coverage of all language features is to be achieved. On the other hand, low-level languages that occur during translation (compilation) have a much simpler semantics since they are closer to the machine level. It thus makes sense to use(More)
Modeling the semantics of programming languages like C for the automated termination analysis of programs is a challenge if complete coverage of all language features should be achieved. On the other hand, low-level intermediate languages that occur during the compilation of C programs to machine code have a much simpler semantics since most of the(More)
We present a modular approach to automatic complexity analysis. Based on a novel alternation between finding symbolic time bounds for program parts and using these to infer size bounds on program variables, we can restrict each analysis step to a small part of the program while maintaining a high level of precision. Extensive experiments with the(More)
LLBMC is a tool for detecting bugs and runtime errors in C and C++ programs. It is based on bounded model checking using an SMT solver and thus achieves bit-accurate precision. A distinguishing feature of LLBMC in contrast to other bounded model checking tools for C programs is that it operates on a compiler intermediate representation and not directly on(More)