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README.md

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<b>SVF</b> is a static value-flow analysis tool for LLVM-based languages. <b>SVF</b> ([CC'16](https://yuleisui.github.io/publications/cc16.pdf)) is able to perform
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* [AE](https://github.com/SVF-tools/SVF/tree/master/svf/include/AE) (<b>abstract execution</b>): cross-domain execution ([ICSE'24](https://yuleisui.github.io/publications/icse24a.pdf)), typestate analysis ([FSE'24](https://yuleisui.github.io/publications/fse24a.pdf));
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* [AE](https://github.com/SVF-tools/SVF/tree/master/svf/include/AE) (<b>abstract execution</b>): cross-domain execution ([ICSE'24](https://yuleisui.github.io/publications/icse24a.pdf)), recursion analysis ([ECOOP'25](https://yuleisui.github.io/publications/ecoop25.pdf)) typestate analysis ([FSE'24](https://yuleisui.github.io/publications/fse24a.pdf));
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* [WPA](https://github.com/SVF-tools/SVF/tree/master/svf/include/WPA) (<b>whole program analysis</b>): field-sensitive ([SAS'19](https://yuleisui.github.io/publications/sas2019a.pdf)), flow-sensitive ([CGO'21](https://yuleisui.github.io/publications/cgo21.pdf), [OOPSLA'21](https://yuleisui.github.io/publications/oopsla21.pdf)) analysis;
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* [DDA](https://github.com/SVF-tools/SVF/tree/master/svf/include/DDA) (<b>demand-driven analysis</b>): flow-sensitive, context-sensitive points-to analysis ([FSE'16](https://yuleisui.github.io/publications/fse16.pdf), [TSE'18](https://yuleisui.github.io/publications/tse18.pdf));
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* [MSSA](https://github.com/SVF-tools/SVF/tree/master/svf/include/MSSA) (<b>memory SSA form construction</b>): memory regions, side-effects, SSA form ([JSS'18](https://yuleisui.github.io/publications/jss18.pdf));

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