Abstract
Many approaches to software verification are currently semi-automatic: a human must provide key logical insights - e.g., loop invariants, class invariants, and frame axioms that limit the scope of changes that must be analyzed. This paper describes a technique for automatically inferring frame axioms of procedures and loops using static analysis. The technique builds on a pointer analysis that generates limited information about all data structures in the heap. Our technique uses that information to over-approximate a potentially unbounded set of memory locations modified by each procedure/loop; this over-approximation is a candidate frame axiom. We have tested this approach on the buffer-overflow benchmarks from ASE 2007. With manually provided specifications and invariants/axioms, our tool could verify/falsify 226 of the 289 benchmarks. With our automatically inferred frame axioms, the tool could verify/falsify 203 of the 289, demonstrating the effectiveness of our approach.
Citation
Zvonimir Rakamaric,
Alan J. Hu
Automatic Inference of Frame Axioms Using Static Analysis
Proceedings of the 23rd IEEE/ACM International Conference on Automated Software Engineering (ASE), 89--98, doi:10.1109/ASE.2008.19, 2008.
BibTeX
@inproceedings{2008_ase_rh, title = {Automatic Inference of Frame Axioms Using Static Analysis}, author = {Zvonimir Rakamaric and Alan J. Hu}, booktitle = {Proceedings of the 23rd IEEE/ACM International Conference on Automated Software Engineering (ASE)}, publisher = {IEEE Computer Society}, pages = {89--98}, doi = {10.1109/ASE.2008.19}, year = {2008} }
Acknowledgements
This work was supported by the Natural Sciences and Engineering Research Council of Canada and a University of British Columbia Graduate Fellowship.