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Programming with “Big Code”

https://doi.org/10.1561/2500000028
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-540-31980-1_30openalex-snapshot
Mining Temporal Specifications for Error Detection
inferredcites →https://doi.org/10.1007/978-3-642-03013-0_15openalex-snapshot
MAPO: Mining and Recommending API Usage Patterns
inferredcites →https://doi.org/10.1007/978-3-642-10672-9_3openalex-snapshot
The Sketching Approach to Program Synthesis
inferredcites →https://doi.org/10.1007/978-3-642-22110-1_33openalex-snapshot
Interactive Synthesis of Code Snippets
inferredcites →https://doi.org/10.1007/978-3-642-22110-1_55openalex-snapshot
Practical, Low-Effort Equivalence Verification of Real Code
inferredcites →https://doi.org/10.1007/978-3-642-38856-9_14openalex-snapshot
Abstract Semantic Differencing for Numerical Programs
inferredcites →https://doi.org/10.1007/s00236-015-0234-1openalex-snapshot
Symbolic automata for representing big code
inferredcites →https://doi.org/10.1007/s10515-011-0084-1openalex-snapshot
Mining temporal specifications from object usage
inferredcites →https://doi.org/10.1109/18.87000openalex-snapshot
The zero-frequency problem: estimating the probabilities of novel events in adaptive text compression
inferredcites →https://doi.org/10.1109/5.880083openalex-snapshot
Two decades of statistical language modeling: where do we go from here?
inferredcites →https://doi.org/10.1109/ase.2009.30openalex-snapshot
Mining Temporal Specifications from Object Usage
inferredcites →https://doi.org/10.1109/asru.2011.6163930openalex-snapshot
Strategies for training large scale neural network language models
inferredcites →https://doi.org/10.1109/icassp.1995.479394openalex-snapshot
Improved backing-off for M-gram language modeling
inferredcites →https://doi.org/10.1109/icse.2009.5070525openalex-snapshot
Semantics-based code search
inferredcites →https://doi.org/10.1109/iri.2010.5558972openalex-snapshot
Effective API navigation and reuse
inferredcites →https://doi.org/10.1109/mis.2009.36openalex-snapshot
The Unreasonable Effectiveness of Data
inferredcites →https://doi.org/10.1109/tassp.1987.1165125openalex-snapshot
Estimation of probabilities from sparse data for the language model component of a speech recognizer
inferredcites →https://doi.org/10.1109/tpami.2013.251openalex-snapshot
“Clustering by Composition”—Unsupervised Discovery of Image Categories
inferredcites →https://doi.org/10.1109/tpami.2014.2315811openalex-snapshot
Data-Driven Objectness
inferredcites →https://doi.org/10.1145/1062455.1062491openalex-snapshot
Using structural context to recommend source code examples
inferredcites →https://doi.org/10.1145/1064978.1065018openalex-snapshot
Jungloid mining
inferredcites →https://doi.org/10.1145/1134285.1134325openalex-snapshot
Perracotta
inferredcites →https://doi.org/10.1145/1168857.1168907openalex-snapshot
Combinatorial sketching for finite programs
inferredcites →https://doi.org/10.1145/1273463.1273487openalex-snapshot
Static specification mining using automata-based abstractions
inferredcites →https://doi.org/10.1145/1275808.1276382openalex-snapshot
Scene completion using millions of photographs
inferredcites →https://doi.org/10.1145/1321631.1321663openalex-snapshot
Parseweb
inferredcites →https://doi.org/10.1145/1375581.1375598openalex-snapshot
Deriving linearizable fine-grained concurrent objects
inferredcites →https://doi.org/10.1145/1449764.1449790openalex-snapshot
Enabling static analysis for partial java programs
inferredcites →https://doi.org/10.1145/1518701.1518944openalex-snapshot
Two studies of opportunistic programming
inferredcites →https://doi.org/10.1145/1706299.1706337openalex-snapshot
From program verification to program synthesis
inferredcites →https://doi.org/10.1145/1753326.1753402openalex-snapshot
Example-centric programming
inferredcites →https://doi.org/10.1145/1836089.1836091openalex-snapshot
Dimensions in program synthesis
inferredcites →https://doi.org/10.1145/2048066.2048075openalex-snapshot
Data-driven synthesis for object-oriented frameworks
inferredcites →https://doi.org/10.1145/2254064.2254098openalex-snapshot
Type-directed completion of partial expressions
inferredcites →https://doi.org/10.1145/237721.237727openalex-snapshot
Points-to analysis in almost linear time
inferredcites →https://doi.org/10.1145/2384616.2384689openalex-snapshot
Typestate-based semantic code search over partial programs
inferredcites →https://doi.org/10.1145/2491956.2462192openalex-snapshot
Complete completion using types and weights
inferredcites →https://doi.org/10.1145/2594291.2594321openalex-snapshot
Code completion with statistical language models
inferredcites →https://doi.org/10.1145/2594291.2594343openalex-snapshot
Tracelet-based code search in executables
inferredcites →https://doi.org/10.1145/2611567openalex-snapshot
Big data and its technical challenges
inferredcites →https://doi.org/10.1145/2660193.2660245openalex-snapshot
Abstract semantic differencing via speculative correlation
inferredcites →https://doi.org/10.1145/2661136.2661148openalex-snapshot
Phrase-Based Statistical Translation of Programming Languages
inferredcites →https://doi.org/10.1145/2666356.2594321openalex-snapshot
Code completion with statistical language models
inferredcites →https://doi.org/10.1145/2666356.2594343openalex-snapshot
Tracelet-based code search in executables
inferredcites →https://doi.org/10.1145/2676726.2677009openalex-snapshot
Predicting Program Properties from "Big Code"
inferredcites →https://doi.org/10.1145/2786805.2786849openalex-snapshot
Suggesting accurate method and class names
inferredcites →https://doi.org/10.1145/2837614.2837671openalex-snapshot
Learning programs from noisy data
inferredcites →https://doi.org/10.1145/287000.287001openalex-snapshot
Discovering models of software processes from event-based data
inferredcites →https://doi.org/10.1145/2976749.2978422openalex-snapshot
Statistical Deobfuscation of Android Applications
inferredcites →https://doi.org/10.1145/2983990.2984041openalex-snapshot
Probabilistic model for code with decision trees
inferredcites →https://doi.org/10.1145/2986012.2986013openalex-snapshot
Leveraging a corpus of natural language descriptions for program similarity
inferredcites →https://doi.org/10.1145/2986012.2986021openalex-snapshot
Extracting code from programming tutorial videos
inferredcites →https://doi.org/10.1145/349299.349314openalex-snapshot
Translation validation for an optimizing compiler
inferredcites →https://doi.org/10.1145/503272.503275openalex-snapshot
Mining specifications
inferredcites →https://doi.org/10.1145/93542.93574openalex-snapshot
Identifying the semantic and textual differences between two versions of a program
inferredcites →https://doi.org/10.1162/153244303322533223openalex-snapshot
10.1162/153244303322533223
inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-snapshot
Long Short-Term Memory
inferredcites →https://doi.org/10.1207/s15516709cog1402_1openalex-snapshot
Finding Structure in Time
inferredcites →https://doi.org/10.1561/2200000013openalex-snapshot
An Introduction to Conditional Random Fields
inferredcites →https://doi.org/10.21437/icslp.2002-303openalex-snapshot
SRILM - an extensible language modeling toolkit
inferredcites →https://doi.org/10.21437/interspeech.2011-720openalex-snapshot
Recurrent neural network based language modeling in meeting recognition
inferredcites →https://doi.org/10.48550/arxiv.1602.03001openalex-snapshot
A Convolutional Attention Network for Extreme Summarization of Source Code
inferredcites →https://doi.org/10.5555/2032497.2032501openalex-snapshot
An empirical study of object protocols in the wild
inferredcites →https://doi.org/10.5555/2337223.2337322openalex-snapshot
On the naturalness of software

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/s10664-021-10000-wopenalex-snapshot
FACER: An API usage-based code-example recommender for opportunistic reuse
inferred← citeshttps://doi.org/10.1007/s10710-019-09364-2openalex-snapshot
Automatic programming: The open issue?
inferred← citeshttps://doi.org/10.1109/asew.2019.00041openalex-snapshot
Can AI Close the Design-Code Abstraction Gap?
inferred← citeshttps://doi.org/10.1109/cai64502.2025.00122openalex-snapshot
Contextual Augmented Multi-Model Programming (CAMP): A Local-Cloud Copilot Solution
inferred← citeshttps://doi.org/10.1109/seai59139.2023.10217505openalex-snapshot
Exploring code2vec and ASTminer for Python Code Embeddings
inferred← citeshttps://doi.org/10.1145/3211346.3211355openalex-snapshot
The three pillars of machine programming
inferred← citeshttps://doi.org/10.1145/3274404openalex-snapshot
Information Needs in Contemporary Code Review
inferred← citeshttps://doi.org/10.1145/3290353openalex-snapshot
code2vec: learning distributed representations of code
inferred← citeshttps://doi.org/10.1145/3306204openalex-snapshot
Predicting program properties from 'big code'
inferred← citeshttps://doi.org/10.1145/3418463openalex-snapshot
IR2V EC
inferred← citeshttps://doi.org/10.1145/3426428.3426918openalex-snapshot
Analogy-making as a Core primitive in the software engineering toolbox
inferred← citeshttps://doi.org/10.1145/3428299openalex-snapshot
TacTok: semantics-aware proof synthesis
inferred← citeshttps://doi.org/10.11591/ijece.v7i6.pp3613-3621openalex-snapshot
Finding Bad Code Smells with Neural Network Models
inferred← citeshttps://doi.org/10.11591/ijece.v9i5.pp3804-3812openalex-snapshot
Enhancing code clone detection using control flow graphs
inferred← citeshttps://doi.org/10.14778/3554821.3554892openalex-snapshot
Machine programming
inferred← citeshttps://doi.org/10.3390/a18060339openalex-snapshot
Cost-Effective Design, Content Management System Implementation and Artificial Intelligence Support of Greek Government AADE, myDATA Web Service for Generic Government Infrastructure, a Complete Analysis
inferred← citeshttps://doi.org/10.3390/e25060888openalex-snapshot
Natural Language Generation and Understanding of Big Code for AI-Assisted Programming: A Review
inferred← citeshttps://doi.org/10.48550/arxiv.1803.07244openalex-snapshot
The Three Pillars of Machine Programming
inferred← citeshttps://doi.org/10.48550/arxiv.2004.00348openalex-snapshot
OptTyper: Probabilistic Type Inference by Optimising Logical and Natural Constraints
inferred← citeshttps://doi.org/10.55708/js0401001openalex-snapshot
Enhancing Python Code Embeddings: Fusion of Code2vec with Large Language Models
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