Code Summarization
68 papers with code • 1 benchmarks • 7 datasets
Benchmarks
These leaderboards are used to track progress in Code Summarization
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Libraries
Use these libraries to find Code Summarization models and implementations
CodeXGLUE
MCoNaLa
Most implemented papers
CoDesc: A Large Code-Description Parallel Dataset
In this study, we present CoDesc -- a large parallel dataset composed of 4. 2 million Java methods and natural language descriptions.
Code to Comment Translation: A Comparative Study on Model Effectiveness & Errors
SageSELab/CodeSumStudy
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ACL (NLP4Prog) 2021
Automated source code summarization is a popular software engineering research topic wherein machine translation models are employed to "translate" code snippets into relevant natural language descriptions.
On the Evaluation of Neural Code Summarization
To achieve a profound understanding of how far we are from solving this problem and provide suggestions to future research, in this paper, we conduct a systematic and in-depth analysis of 5 state-of-the-art neural code summarization models on 6 widely used BLEU variants, 4 pre-processing operations and their combinations, and 3 widely used datasets.
Autoencoders as Tools for Program Synthesis
sander102907/autoencoder_program_synthesis
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Recently there have been many advances in research on language modeling of source code.
Impact of Evaluation Methodologies on Code Summarization
This may lead to evaluations that are inconsistent with the intended use cases.
Retrieval Augmented Code Generation and Summarization
rizwan09/redcoder
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Findings (EMNLP) 2021
To mimic developers' code or summary generation behavior, we propose a retrieval augmented framework, REDCODER, that retrieves relevant code or summaries from a retrieval database and provides them as a supplement to code generation or summarization models.
GraphSearchNet: Enhancing GNNs via Capturing Global Dependencies for Semantic Code Search
shangqing-liu/graphsearchnet
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Specifically, we propose to construct graphs for the source code and queries with bidirectional GGNN (BiGGNN) to capture the local structural information of the source code and queries.
Modeling Hierarchical Syntax Structure with Triplet Position for Source Code Summarization
gjcexp/codescribe
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ACL ARR November 2021
In this paper, we propose CODESCRIBE to model the hierarchical syntax structure of code by introducing a novel triplet position for code summarization.
GN-Transformer: Fusing Sequence and Graph Representation for Improved Code Summarization
chengjunyan1/gn-transformer-ast
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SCG is the result of the early fusion between a source code snippet and the AST representation.
Leveraging Unsupervised Learning to Summarize APIs Discussed in Stack Overflow
Automated source code summarization is a task that generates summarized information about the purpose, usage, and--or implementation of methods and classes to support understanding of these code entities.
