Scalable error detection using boolean satisfiability
Published in Proceedings of the 32nd ACM SIGPLAN-SIGACT symposium on Principles of programming languages • Jan 12, 2005
NobleIDNI5P55W41R01S99
Authors:,
Yichen Xie
Alex Aiken
Abstract
We describe a software error-detection tool that exploits recent advances in boolean satisfiability (SAT) solvers. Our analysis is path sensitive, precise down to the bit level, and models pointers and heap data. Our approach is also highly scalable, which we achieve using two techniques. First, for...
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