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Static Analysis
Learning Shape Analysis
other
Author(s):
Marc Brockschmidt
,
Yuxin Chen
,
Pushmeet Kohli
,
Siddharth Krishna
,
Daniel Tarlow
Publication date
(Online):
August 19 2017
Publisher:
Springer International Publishing
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Formal verification of a realistic compiler
Xavier Leroy
(2009)
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Parametric shape analysis via 3-valued logic
Mooly Sagiv
,
Thomas Reps
,
Reinhard Wilhelm
(2002)
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Lazy Abstraction with Interpolants
Kenneth McMillan
(2006)
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Book Chapter
Publication date (Print):
2017
Publication date (Online):
August 19 2017
Pages
: 66-87
DOI:
10.1007/978-3-319-66706-5_4
SO-VID:
ac2edf80-e2a3-4cc9-a9e3-2490eacd18b2
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Book chapters
pp. 1
Probabilistic Horn Clause Verification
pp. 23
Combining Forward and Backward Abstract Interpretation of Horn Clauses
pp. 46
Abstract Semantic Diffing of Evolving Concurrent Programs
pp. 66
Learning Shape Analysis
pp. 88
Securing the SSA Transform
pp. 106
Relative Store Fragments for Singleton Abstraction
pp. 128
Loop Invariants from Counterexamples
pp. 148
A Context-Sensitive Memory Model for Verification of C/C++ Programs
pp. 169
Effect Summaries for Thread-Modular Analysis
pp. 192
Toward a Sound Analysis of Guarded LTI Loops with Inputs by Abstract Acceleration
pp. 212
Scalable Minimizing-Operators on Polyhedra via Parametric Linear Programming
pp. 232
Hyperhierarchy of Semantics - A Formal Framework for Hyperproperties Verification
pp. 253
Thread-Local Semantics and Its Efficient Sequential Abstractions for Race-Free Programs
pp. 277
Quantitative Static Analysis of Communication Protocols Using Abstract Markov Chains
pp. 299
Portability Analysis for Weak Memory Models porthos: One Tool for all Models
pp. 321
Template Polyhedra with a Twist
pp. 342
A New Abstraction Framework for Affine Transformers
pp. 364
Synthesizing Imperative Programs from Examples Guided by Static Analysis
pp. 382
A Gradual Interpretation of Union Types
pp. 405
Modular Demand-Driven Analysis of Semantic Difference for Program Versions
pp. 428
Verifying Array Manipulating Programs by Tiling
pp. 450
Incremental Analysis for Probabilistic Programs
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