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Learning graph-based heuristics for pointer analysis without handcrafting application-specific features
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Fast Numerical Program Analysis with Reinforcement Learning
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Making k-Object-Sensitive Pointer Analysis More Precise with Still k-Limiting
inferredcites →https://doi.org/10.1109/icse.2009.5070538openalex-snapshot
Effective static deadlock detection
inferredcites →https://doi.org/10.1109/icse.2019.00063openalex-snapshot
VFix: Value-Flow-Guided Precise Program Repair for Null Pointer Dereferences
inferredcites →https://doi.org/10.1109/tse.2014.2302311openalex-snapshot
Detecting Memory Leaks Statically with Full-Sparse Value-Flow Analysis
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Parameterized object sensitivity for points-to analysis for Java
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Improving software security with a C pointer analysis
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Effective static race detection for Java
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Merging equivalent contexts for scalable heap-cloning-based context-sensitive points-to analysis
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Learning minimal abstractions
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Finding optimum abstractions in parametric dataflow analysis
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Selective context-sensitivity guided by impact pre-analysis
inferredcites →https://doi.org/10.1145/2594291.2594327openalex-snapshot
On abstraction refinement for program analyses in Datalog
inferredcites →https://doi.org/10.1145/2814270.2814293openalex-snapshot
Selective control-flow abstraction via jumping
inferredcites →https://doi.org/10.1145/2814270.2814309openalex-snapshot
Learning a strategy for adapting a program analysis via bayesian optimisation
inferredcites →https://doi.org/10.1145/3062341.3062360openalex-snapshot
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Machine-Learning-Guided Typestate Analysis for Static Use-After-Free Detection
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Scalability-first pointer analysis with self-tuning context-sensitivity
inferredcites →https://doi.org/10.1145/3236024.3236079openalex-snapshot
MemFix: static analysis-based repair of memory deallocation errors for C
inferredcites →https://doi.org/10.1145/3276511openalex-snapshot
Precision-guided context sensitivity for pointer analysis
inferredcites →https://doi.org/10.1145/3293607openalex-snapshot
A Machine-Learning Algorithm with Disjunctive Model for Data-Driven Program Analysis
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Parameterized object sensitivity for points-to and side-effect analyses for Java
inferredcites →https://doi.org/10.1145/940071.940114openalex-snapshot
Tracking pointers with path and context sensitivity for bug detection in C programs
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Context Gas and friends: taming context-sensitivity on the fly
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Querying graph databases using context-free grammars
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A survey of modern neural network based methods for the graph coloring problem
inferred← citeshttps://doi.org/10.1109/ase51524.2021.9678880openalex-snapshot
Context Debloating for Object-Sensitive Pointer Analysis
inferred← citeshttps://doi.org/10.1109/icse48619.2023.00099openalex-snapshot
Learning to Boost Disjunctive Static Bug-Finders
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Module-Aware Context Sensitive Pointer Analysis
inferred← citeshttps://doi.org/10.1109/tse.2024.3377645openalex-snapshot
Generic Sensitivity: Generics-Guided Context Sensitivity for Pointer Analysis
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Compacting points-to sets through object clustering
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Return of CFA: call-site sensitivity can be superior to object sensitivity even for object-oriented programs
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Learning probabilistic models for static analysis alarms
inferred← citeshttps://doi.org/10.1145/3540250.3549122openalex-snapshot
Generic sensitivity: customizing context-sensitive pointer analysis for generics
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IFDS-based Context Debloating for Object-Sensitive Pointer Analysis
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RaceInjector: Injecting Races to Evaluate and Learn Dynamic Race Detection Algorithms
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Context Sensitivity without Contexts: A Cut-Shortcut Approach to Fast and Precise Pointer Analysis
inferred← citeshttps://doi.org/10.1145/3597926.3598120openalex-snapshot
Tai-e: A Developer-Friendly Static Analysis Framework for Java by Harnessing the Good Designs of Classics
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A Container-Usage-Pattern-Based Context Debloating Approach for Object-Sensitive Pointer Analysis
inferred← citeshttps://doi.org/10.1145/3649845openalex-snapshot
Learning Abstraction Selection for Bayesian Program Analysis
inferred← citeshttps://doi.org/10.1145/3652588openalex-snapshot
Proceedings of the 13th ACM SIGPLAN International Workshop on the State Of the Art in Program Analysis
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When to Stop Going Down the Rabbit Hole: Taming Context-Sensitivity on the Fly
inferred← citeshttps://doi.org/10.1145/3656400openalex-snapshot
Falcon: A Fused Approach to Path-Sensitive Sparse Data Dependence Analysis
inferred← citeshttps://doi.org/10.1145/3689765openalex-snapshot
Scaling Abstraction Refinement for Program Analyses in Datalog using Graph Neural Networks
inferred← citeshttps://doi.org/10.1145/3691620.3695545openalex-snapshot
Towards Effective Static Type-Error Detection for Python
inferred← citeshttps://doi.org/10.1145/3696443.3708921openalex-snapshot
Stack Filtering: Elevating Precision and Efficiency in Rust Pointer Analysis
inferred← citeshttps://doi.org/10.1145/3744916.3773247openalex-snapshot
Is Call Graph Pruning Really Effective?
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Enhancing Semantic Understanding in Pointer Analysis using Large Language Models
inferred← citeshttps://doi.org/10.1145/3763111openalex-snapshot
Towards a Theoretically-Backed and Practical Framework for Selective Object-Sensitive Pointer Analysis
inferred← citeshttps://doi.org/10.1145/3798211openalex-snapshot
Hermes: Making Path-Sensitive Pointer Analysis Scalable for Sparse Value-Flow Analysis
inferred← citeshttps://doi.org/10.1145/3818615openalex-snapshot
Cut-Shortcut Whole-Program Pointer Analysis: Re-Imagining Context-Sensitivity without Contexts
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