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Precision-preserving yet fast object-sensitive pointer analysis with partial context sensitivity
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Scaling Java Points-to Analysis Using Spark
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Scaling CFL-Reachability-Based Points-To Analysis Using Context-Sensitive Must-Not-Alias Analysis
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inferredcites →https://doi.org/10.1007/978-3-642-39038-8_16openalex-snapshot
Averroes: Whole-Program Analysis without the Whole Program
inferredcites →https://doi.org/10.1007/978-3-662-53413-7_24openalex-snapshot
Making k-Object-Sensitive Pointer Analysis More Precise with Still k-Limiting
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Parameterized object sensitivity for points-to analysis for Java
inferredcites →https://doi.org/10.1145/1094811.1094817openalex-snapshot
Demand-driven points-to analysis for Java
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Refinement-based context-sensitive points-to analysis for Java
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Subcubic algorithms for recursive state machines
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Evaluating the benefits of context-sensitive points-to analysis using a BDD-based implementation
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On-demand dynamic summary-based points-to analysis
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On abstraction refinement for program analyses in Datalog
inferredcites →https://doi.org/10.1145/3062341.3062359openalex-snapshot
Context transformations for pointer analysis
inferredcites →https://doi.org/10.1145/3062341.3062360openalex-snapshot
Efficient and precise points-to analysis: modeling the heap by merging equivalent automata
inferredcites →https://doi.org/10.1145/3088515.3088519openalex-snapshot
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Data-driven context-sensitivity for points-to analysis
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Calling-to-reference context translation via constraint-guided CFL-reachability
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User-guided program reasoning using Bayesian inference
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Precise and scalable points-to analysis via data-driven context tunneling
inferredcites →https://doi.org/10.1145/3276511openalex-snapshot
Precision-guided context sensitivity for pointer analysis
inferredcites →https://doi.org/10.1145/3293606openalex-snapshot
Rethinking Incremental and Parallel Pointer Analysis
inferredcites →https://doi.org/10.1145/345099.345137openalex-snapshot
Undecidability of context-sensitive data-dependence analysis
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The set constraint/CFL reachability connection in practice
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Harvesting Runtime Values in Android Applications That Feature Anti-Analysis Techniques
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Adaptive Context-sensitive Analysis for JavaScript
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Context Debloating for Object-Sensitive Pointer Analysis
inferred← citeshttps://doi.org/10.1109/ase56229.2023.00039openalex-snapshot
Automatic Generation and Reuse of Precise Library Summaries for Object-Sensitive Pointer Analysis
inferred← citeshttps://doi.org/10.1109/ase63991.2025.00269openalex-snapshot
Context-Sensitive Pointer Analysis for ArkTS
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Parameter Sensitive Pointer Analysis for Java
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Learning to Boost Disjunctive Static Bug-Finders
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Module-Aware Context Sensitive Pointer Analysis
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Call-Graph-Based Context-Sensitive Points-to Analysis for Java
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Generic Sensitivity: Generics-Guided Context Sensitivity for Pointer Analysis
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FlowCFL: generalized type-based reachability analysis: graph reduction and equivalence of CFL-based and type-based reachability
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Learning graph-based heuristics for pointer analysis without handcrafting application-specific features
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Chianina: an evolving graph system for flow- and context-sensitive analyses of million lines of C code
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A Survey of Parametric Static Analysis
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Systemizing Interprocedural Static Analysis of Large-scale Systems Code with Graspan
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The decidability and complexity of interleaved bidirected Dyck reachability
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Return of CFA: call-site sensitivity can be superior to object sensitivity even for object-oriented programs
inferred← citeshttps://doi.org/10.1145/3540250.3549122openalex-snapshot
Generic sensitivity: customizing context-sensitive pointer analysis for generics
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Non-Distinguishable Inconsistencies as a Deterministic Oracle for Detecting Security Bugs
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IFDS-based Context Debloating for Object-Sensitive Pointer Analysis
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Context Sensitivity without Contexts: A Cut-Shortcut Approach to Fast and Precise Pointer Analysis
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Hybrid Inlining: A Framework for Compositional and Context-Sensitive Static Analysis
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Tai-e: A Developer-Friendly Static Analysis Framework for Java by Harnessing the Good Designs of Classics
inferred← citeshttps://doi.org/10.1145/3622832openalex-snapshot
A Container-Usage-Pattern-Based Context Debloating Approach for Object-Sensitive Pointer Analysis
inferred← citeshttps://doi.org/10.1145/3622833openalex-snapshot
A Cocktail Approach to Practical Call Graph Construction
inferred← citeshttps://doi.org/10.1145/3632884openalex-snapshot
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Homeostasis: Design and Implementation of a Self-Stabilizing Compiler
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Learning Abstraction Selection for Bayesian Program Analysis
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Falcon: A Fused Approach to Path-Sensitive Sparse Data Dependence Analysis
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inferred← citeshttps://doi.org/10.1145/3660779openalex-snapshot
TIPS: Tracking Integer-Pointer Value Flows for C++ Member Function Pointers
inferred← citeshttps://doi.org/10.1145/3689804openalex-snapshot
Boosting the Performance of Alias-Aware IFDS Analysis with CFL-Based Environment Transformers
inferred← citeshttps://doi.org/10.1145/3696443.3708921openalex-snapshot
Stack Filtering: Elevating Precision and Efficiency in Rust Pointer Analysis
inferred← citeshttps://doi.org/10.1145/3696443.3708932openalex-snapshot
SkipFlow: Improving the Precision of Points-to Analysis using Primitive Values and Predicate Edges
inferred← citeshttps://doi.org/10.1145/3704854openalex-snapshot
Program Analysis via Multiple Context Free Language Reachability
inferred← citeshttps://doi.org/10.1145/3728935openalex-snapshot
The Incredible Shrinking Context... in a Decompiler Near You
inferred← citeshttps://doi.org/10.1145/3735544.3735587openalex-snapshot
Pick Your Call Graphs Well: On Scaling IFDS-Based Data-Flow Analyses
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No Shot in the Dark: Efficient Context-Free Language Reachability via Context-Aware Tabulation
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Fast Client-Driven CFL-Reachability via Regularization-Based Graph Simplification
inferred← citeshttps://doi.org/10.1145/3763111openalex-snapshot
Towards a Theoretically-Backed and Practical Framework for Selective Object-Sensitive Pointer Analysis
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Hermes: Making Path-Sensitive Pointer Analysis Scalable for Sparse Value-Flow Analysis
inferred← citeshttps://doi.org/10.48550/arxiv.2005.06496openalex-snapshot
FlowCFL: A Framework for Type-based Reachability Analysis in the Presence of Mutable Data
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