On the public citation graph
L2S: A Framework for Synthesizing the Most Probable Program under a Specification
0 signed · 89 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-40229-1_2openalex-snapshot
Programming by Examples: Applications, Algorithms, and Ambiguity Resolution
inferredcites →https://doi.org/10.1007/978-3-319-71237-6_1openalex-snapshot
Programming by Examples: PL Meets ML
inferredcites →https://doi.org/10.1007/s10664-016-9470-4openalex-snapshot
Automatic repair of real bugs in java: a large-scale experiment on the defects4j dataset
inferredcites →https://doi.org/10.1007/s10664-020-09920-wopenalex-snapshot
Automated patch assessment for program repair at scale
inferredcites →https://doi.org/10.1016/0004-3702(77)90026-1openalex-snapshot
Speech understanding systems
inferredcites →https://doi.org/10.1057/9780230502109_32openalex-snapshot
Principle Component Analysis
inferredcites →https://doi.org/10.1109/ase.2017.8115674openalex-snapshot
Contract-based program repair without the contracts
inferredcites →https://doi.org/10.1109/ase.2017.8115675openalex-snapshot
Elixir: Effective object-oriented program repair
inferredcites →https://doi.org/10.1109/ase.2019.00033openalex-snapshot
Inferring Program Transformations From Singular Examples via Big Code
inferredcites →https://doi.org/10.1109/icse.2009.5070536openalex-snapshot
Automatically finding patches using genetic programming
inferredcites →https://doi.org/10.1109/icse.2012.6227205openalex-snapshot
Graph-based pattern-oriented, context-sensitive source code completion
inferredcites →https://doi.org/10.1109/icse.2017.45openalex-snapshot
Precise Condition Synthesis for Program Repair
inferredcites →https://doi.org/10.1109/icse.2019.00064openalex-snapshot
On Reliability of Patch Correctness Assessment
inferredcites →https://doi.org/10.1109/prdc.2006.18openalex-snapshot
An Evaluation of Similarity Coefficients for Software Fault Localization
inferredcites →https://doi.org/10.1109/saner.2018.8330203openalex-snapshot
Dissection of a bug dataset: Anatomy of 395 patches from Defects4J
inferredcites →https://doi.org/10.1109/saner.2019.8668043openalex-snapshot
Sorting and Transforming Program Repair Ingredients via Deep Learning Code Similarities
inferredcites →https://doi.org/10.1109/tciaig.2012.2186810openalex-snapshot
A Survey of Monte Carlo Tree Search Methods
inferredcites →https://doi.org/10.1109/tse.2016.2560811openalex-snapshot
Nopol: Automatic Repair of Conditional Statement Bugs in Java Programs
inferredcites →https://doi.org/10.1109/tse.2017.2755013openalex-snapshot
Automatic Software Repair: A Survey
inferredcites →https://doi.org/10.1109/tse.2019.2940179openalex-snapshot
SEQUENCER: Sequence-to-Sequence Learning for End-to-End Program Repair
inferredcites →https://doi.org/10.1109/tssc.1968.300136openalex-snapshot
A Formal Basis for the Heuristic Determination of Minimum Cost Paths
inferredcites →https://doi.org/10.1145/1134285.1134324openalex-snapshot
Locating faults through automated predicate switching
inferredcites →https://doi.org/10.1145/1390156openalex-snapshot
Proceedings of the 25th international conference on Machine learning - ICML '08
inferredcites →https://doi.org/10.1145/2568225.2568254openalex-snapshot
The strength of random search on automated program repair
inferredcites →https://doi.org/10.1145/2594291.2594321openalex-snapshot
Code completion with statistical language models
inferredcites →https://doi.org/10.1145/2610384.2628055openalex-snapshot
Defects4J: a database of existing faults to enable controlled testing studies for Java programs
inferredcites →https://doi.org/10.1145/2786805.2786811openalex-snapshot
Staged program repair with condition synthesis
inferredcites →https://doi.org/10.1145/2814270.2814310openalex-snapshot
FlashMeta: a framework for inductive program synthesis
inferredcites →https://doi.org/10.1145/2837614.2837617openalex-snapshot
Automatic patch generation by learning correct code
inferredcites →https://doi.org/10.1145/2884781.2884804openalex-snapshot
Automatically learning semantic features for defect prediction
inferredcites →https://doi.org/10.1145/2884781.2884872openalex-snapshot
An analysis of the search spaces for generate and validate patch generation systems
inferredcites →https://doi.org/10.1145/3106237.3106253openalex-snapshot
Automatic inference of code transforms for patch generation
inferredcites →https://doi.org/10.1145/3180155.3180233openalex-snapshot
Context-aware patch generation for better automated program repair
inferredcites →https://doi.org/10.1145/3180155.3180245openalex-snapshot
Towards practical program repair with on-demand candidate generation
inferredcites →https://doi.org/10.1145/3192366.3192410openalex-snapshot
Accelerating search-based program synthesis using learned probabilistic models
inferredcites →https://doi.org/10.1145/3213846.3213871openalex-snapshot
Shaping program repair space with existing patches and similar code
inferredcites →https://doi.org/10.1145/3293882.3330577openalex-snapshot
TBar: revisiting template-based automated program repair
inferredcites →https://doi.org/10.1145/3338906.3338951openalex-snapshot
Maximal multi-layer specification synthesis
inferredcites →https://doi.org/10.1145/3340544openalex-snapshot
An Empirical Study on Learning Bug-Fixing Patches in the Wild via Neural Machine Translation
inferredcites →https://doi.org/10.1145/3385412.3385988openalex-snapshot
Multi-modal synthesis of regular expressions
inferredcites →https://doi.org/10.1145/3395363.3397369openalex-snapshot
CoCoNuT: combining context-aware neural translation models using ensemble for program repair
inferredcites →https://doi.org/10.1145/3428292openalex-snapshot
Guiding dynamic programing via structural probability for accelerating programming by example
inferredcites →https://doi.org/10.1145/581396.581397openalex-snapshot
Visualization of test information to assist fault localization
inferredcites →https://doi.org/10.1609/aaai.v31i1.10734openalex-snapshot
Neural Programming by Example
inferredcites →https://doi.org/10.1609/aaai.v31i1.10742openalex-snapshot
DeepFix: Fixing Common C Language Errors by Deep Learning
inferredcites →https://doi.org/10.1609/aaai.v33i01.33017055openalex-snapshot
A Grammar-Based Structural CNN Decoder for Code Generation
inferredcites →https://doi.org/10.1609/aaai.v34i05.6430openalex-snapshot
TreeGen: A Tree-Based Transformer Architecture for Code Generation
inferredcites →https://doi.org/10.18653/v1/d18-1110openalex-snapshot
Exploiting Rich Syntactic Information for Semantic Parsing with Graph-to-Sequence Model
inferredcites →https://doi.org/10.18653/v1/d18-1111openalex-snapshot
Retrieval-Based Neural Code Generation
inferredcites →https://doi.org/10.18653/v1/p16-1004openalex-snapshot
Language to Logical Form with Neural Attention
inferredcites →https://doi.org/10.18653/v1/p16-1057openalex-snapshot
Latent Predictor Networks for Code Generation
inferredcites →https://doi.org/10.18653/v1/p17-1041openalex-snapshot
A Syntactic Neural Model for General-Purpose Code Generation
inferredcites →https://doi.org/10.18653/v1/p17-1105openalex-snapshot
Abstract Syntax Networks for Code Generation and Semantic Parsing
inferredcites →https://doi.org/10.48550/arxiv.1207.4676openalex-snapshot
Proceedings of the 29th International Conference on Machine Learning (ICML-12)
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/smr.2624openalex-snapshot
Enhanced evolutionary automated program repair by finer‐granularity ingredients and better search algorithms
inferred← citeshttps://doi.org/10.1002/stvr.1905openalex-snapshot
A Systematic Exploration of Mutation‐Based Fault Localization Formulae
inferred← citeshttps://doi.org/10.1007/s10515-025-00549-xopenalex-snapshot
Assessing the effectiveness of recent closed-source large language models in fault localization and automated program repair
inferred← citeshttps://doi.org/10.1109/apsec66846.2025.00013openalex-snapshot
CAMUS: Context-Aware Neural Mutation Selection
inferred← citeshttps://doi.org/10.1109/ase56229.2023.00012openalex-snapshot
ExpressAPR: Efficient Patch Validation for Java Automated Program Repair Systems
inferred← citeshttps://doi.org/10.1109/ase56229.2023.00185openalex-snapshot
Precise Data-Driven Approximation for Program Analysis via Fuzzing
inferred← citeshttps://doi.org/10.1109/dac63849.2025.11133030openalex-snapshot
Speculative Decoding for Verilog: Speed and Quality, All in One
inferred← citeshttps://doi.org/10.1109/icse48619.2023.00112openalex-snapshot
Rete: Learning Namespace Representation for Program Repair
inferred← citeshttps://doi.org/10.1109/icse48619.2023.00126openalex-snapshot
Tare: Type-Aware Neural Program Repair
inferred← citeshttps://doi.org/10.1109/icse48619.2023.00135openalex-snapshot
Leveraging Feature Bias for Scalable Misprediction Explanation of Machine Learning Models
inferred← citeshttps://doi.org/10.1109/icsme64153.2025.00018openalex-snapshot
Boosting Redundancy-Based Automated Program Repair by Fine-Grained Pattern Mining
inferred← citeshttps://doi.org/10.1109/icst60714.2024.00033openalex-snapshot
Does Going Beyond Branch Coverage Make Program Repair Tools More Reliable?
inferred← citeshttps://doi.org/10.1109/tse.2024.3359969openalex-snapshot
Accelerating Patch Validation for Program Repair With Interception-Based Execution Scheduling
inferred← citeshttps://doi.org/10.1145/3545258.3545286openalex-snapshot
Enhanced Evolutionary Automated Program Repair by Finer-Granularity Ingredients and Better Search Algorithms
inferred← citeshttps://doi.org/10.1145/3597503.3639125openalex-snapshot
GrammarT5: Grammar-Integrated Pretrained Encoder-Decoder Neural Model for Code
inferred← citeshttps://doi.org/10.1145/3624741openalex-snapshot
Variable-based Fault Localization via Enhanced Decision Tree
inferred← citeshttps://doi.org/10.1145/3643795.3648390openalex-snapshot
Evaluating Fault Localization and Program Repair Capabilities of Existing Closed-Source General-Purpose LLMs
inferred← citeshttps://doi.org/10.1145/3696450openalex-snapshot
Evolving Paradigms in Automated Program Repair: Taxonomy, Challenges, and Opportunities
inferred← citeshttps://doi.org/10.1145/3705310openalex-snapshot
EffFix: Efficient and Effective Repair of Pointer Manipulating Programs
inferred← citeshttps://doi.org/10.1145/3715004openalex-snapshot
Hybrid Automated Program Repair by Combining Large Language Models and Program Analysis
inferred← citeshttps://doi.org/10.1145/3776736openalex-snapshot
G enesys : A Novel Evolutionary Program Synthesis Tool with Continuous Optimization
inferred← citeshttps://doi.org/10.1145/3805038openalex-snapshot
A Comprehensive Study on Large Language Models for Mutation Testing
inferred← citeshttps://doi.org/10.1145/3812804openalex-snapshot
Practical LLM-Based Function-Level Automated Program Repair: How Far Are We?
inferred← citeshttps://doi.org/10.1145/3832182openalex-snapshot
Self-Adaptive Code Representation: Grammar-Guided or Token-Based?
inferred← citeshttps://doi.org/10.1609/aaai.v36i8.20815openalex-snapshot
Generalized Equivariance and Preferential Labeling for GNN Node Classification
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.