A static analyzer for C/C++ that detects runtime errors using abstract interpretation theory.
IKOS is a static analyzer for C and C++ that uses Abstract Interpretation theory to detect runtime errors like buffer overflows and prove their absence. It provides both a framework for building custom analyzers and a ready-to-use tool that analyzes LLVM bitcode, outputting detailed reports on program safety.
Software verification researchers, safety-critical systems developers, and engineers working on C/C++ codebases who need rigorous, sound static analysis to eliminate undefined behaviors.
IKOS offers a sound, scalable analysis based on proven Abstract Interpretation techniques, with a flexible framework for specialization and a practical analyzer that integrates with LLVM, making advanced formal methods accessible for real-world C/C++ projects.
Static analyzer for C/C++ based on the theory of Abstract Interpretation.
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Implements Abstract Interpretation to definitively prove the absence of runtime errors, with results categorized as safe, error, or warning, ensuring reliable verification for safety-critical code.
Analyzes C/C++ programs via LLVM bitcode for scalable and efficient analysis, as shown in the command-line workflow where it compiles source files and processes bitcode.
Enables whole-program analysis across function boundaries for higher accuracy, a key feature highlighted in the documentation for reducing false positives.
Offers multiple numerical abstract domains to balance precision and performance, allowing customization for different codebases, as detailed in the analysis options.
Provides ikos-view, a web-based tool to examine analysis results interactively, making it easier to navigate complex reports beyond terminal output.
Building from source requires LLVM 14, Boost, GMP, and other libraries, which can be cumbersome and error-prone, as noted in the detailed build instructions.
Only supports C and C++, with no plans for other languages, restricting its use in polyglot projects or modern software stacks.
The sound analysis approach can be computationally expensive, leading to longer analysis times on large codebases, a trade-off inherent in Abstract Interpretation techniques.
Requires understanding of Abstract Interpretation theory and LLVM internals for advanced customization, which may deter developers without a formal methods background.