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Automated sensitivity analysis based mechanism to decide the approximability of program variables from the results produced by klee

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approximability

Automated sensitivity analysis to determine path based approximability of program variables from the symbolic results produced by an augmented Klee.

To obtain program variables that can be approximated for a single path, run python find_approx.py --single-path-approximation config.txt

Note - Paths for output, source, and klee needs to be updated in the config.txt file before running the analysis. Examples can be found here.

This project uses cinpy. See here on how to set up cinpy. Also requires python3.

More information on how the sensitivity analaysis works can be found in the publication:

H. De Silva, A. Santosa, N. Ho, W. Wong. 2019. ApproxSymate: Path Sensitive Program Approximation using Symbolic Execution. In Proceedings of the 20th ACM SIGPLAN/SIGBED Conference on Languages, Compilers, and Tools for Embedded Systems (LCTES ’19), June 23, 2019, Phoenix, AZ, USA.

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Automated sensitivity analysis based mechanism to decide the approximability of program variables from the results produced by klee

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