Incorrectness Logic (IL) has recently been advanced as a logical theory for compositionally proving the presence of bugs—dual to Hoare Logic, which is used to compositionally prove their absence. Though IL was motivated in large part by the aim of providing a logical foundation for bug-catching program analyses, it has remained an open question: is IL useful only retrospectively (to explain existing analyses), or can it actually be useful in developing new analyses which can catch real bugs in big programs?
In this work, we develop Pulse-X, a new, automatic program analysis for catching memory errors, based on ISL, a recent synthesis of IL and separation logic. Using Pulse-X, we have found 15 new real bugs in OpenSSL, which we have reported to OpenSSL maintainers and have since been fixed. In order not to be overwhelmed with potential but false error reports, we develop a compositional bug-reporting criterion based on a distinction between latent and manifest errors, which references the under-approximate ISL abstractions computed by Pulse-X, and we investigate the fix rate resulting from application of this criterion. Finally, to probe the potential practicality of our bug-finding method, we conduct a comparison to Infer, a widely used analyzer which has proven useful in industrial engineering practice.
Fri 9 DecDisplayed time zone: Auckland, Wellington change
13:30 - 15:00 | Logic and Verification IOOPSLA at AMRF Auditorium Chair(s): Benjamin Lucien Kaminski Saarland University and University College London | ||
13:30 30mResearch paper | Finding real bugs in big programs with incorrectness logic OOPSLA Quang Loc Le University College London, Azalea Raad Imperial College London, Jules Villard Meta, Josh Berdine Meta, Derek Dreyer MPI-SWS, Peter W. O'Hearn Meta; University College London DOI | ||
14:00 30mTalk | Fractional Resources in Unbounded Separation Logic OOPSLA Thibault Dardinier ETH Zurich, Peter Müller ETH Zurich, Alexander J. Summers University of British Columbia DOI | ||
14:30 30mTalk | Proving Hypersafety Compositionally OOPSLA DOI Pre-print |