LoopInvGen: A Loop Invariant Generator based on Precondition Inference
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Abstract (arXiv)
We describe the LoopInvGen tool for generating loop invariants that can provably guarantee correctness of a program with respect to a given specification. LoopInvGen is an efficient implementation of the inference technique originally proposed in our earlier work on PIE (https://doi.org/10.1145/2908080.2908099). In contrast to existing techniques, LoopInvGen is not restricted to a fixed set of features -- atomic predicates that are composed together to build complex loop invariants. Instead, we start with no initial features, and use program synthesis techniques to grow the set on demand. This not only enables a less onerous and more expressive approach, but also appears to be significantly faster than the existing tools over the SyGuS-COMP 2018 benchmarks from the INV track.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). First posted on arXiv 7 Jul 2017.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 1; 2024: 0; 2025: 1.
3 papers.
- 2023Ranking LLM-Generated Loop Invariants for Program Verificationcited by 33
- 2021Satisfiability and Synthesis Modulo Oraclescited by 1
- 2025LLM For Loop Invariant Generation and Fixing: How Far Are We?cited by 1
- 2025LLM For Loop Invariant Generation and Fixing: How Far Are We?9 Nov 2025
- 2023Ranking LLM-Generated Loop Invariants for Program Verification13 Oct 2023
- 2021Satisfiability and Synthesis Modulo Oracles28 Jul 2021