Title:
Finding Kernels in Non-Linear Data-Driven CHC Solving Finding Kernels in Non-Linear Data-Driven CHC Solving

dc.contributor.advisor Harris, William R.
dc.contributor.advisor Harris, William R.
dc.contributor.author Eden, Michael
dc.contributor.committeeMember Orso, Alessandro
dc.contributor.committeeMember Orso, Alessandro
dc.contributor.department Computer Science
dc.date.accessioned 2018-08-20T19:11:06Z
dc.date.available 2018-08-20T19:11:06Z
dc.date.created 2018-08
dc.date.issued 2018-08
dc.date.submitted August 2018
dc.date.updated 2018-08-20T19:11:06Z
dc.description.abstract Program verification has seen a lot of progress, but its still unable to automatically find proofs for industry programs. This paper builds on data-driven approaches from previous work [11] to provide a more robust automatic prover for programs with non-linear loop invariants. It does so by attempting to find the correct kernel for the relation that makes the invariant linear. This is an easy addition to existing systems and can be used with any data-driven approach, allowing it to be easily implemented on top of them. By finding a suitable kernel, many difficult non-linear invariants are easily found.
dc.description.degree Undergraduate
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/60382
dc.language.iso en_US
dc.publisher Georgia Institute of Technology
dc.subject CHC
dc.subject Z3
dc.subject Horn Clause
dc.subject Static Analysis
dc.subject Verification
dc.subject CHC
dc.subject Z3
dc.subject Horn Clause
dc.subject Static Analysis
dc.subject Verification
dc.title Finding Kernels in Non-Linear Data-Driven CHC Solving
dc.title Finding Kernels in Non-Linear Data-Driven CHC Solving
dc.type Text
dc.type.genre Undergraduate Thesis
dspace.entity.type Publication
local.contributor.corporatename College of Computing
local.contributor.corporatename School of Computer Science
local.contributor.corporatename Undergraduate Research Opportunities Program
local.relation.ispartofseries Undergraduate Research Option Theses
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relation.isOrgUnitOfPublication 6b42174a-e0e1-40e3-a581-47bed0470a1e
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relation.isSeriesOfPublication e1a827bd-cf25-4b83-ba24-70848b7036ac
thesis.degree.level Undergraduate
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