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Source Code Summarization
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Code Summarization is a task that tries to comprehend code and automatically generate descriptions directly from the source code.
Source: Improving Automatic Source Code Summarization via Deep Reinforcement Learning
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/CoderPat/structured-neural-summarization
공식 코드https://github.com/DeepSoftwareAnalytics/CodeSumEvaluation
공식 코드https://github.com/JetBrains-Research/fine-tuning-ml-models
공식 코드https://github.com/JetBrains-Research/psiminer
공식 코드PSIMiner: A Tool for Mining Rich Abstract Syntax Trees from Code
https://github.com/SageSELab/CodeSumStudy
공식 코드Code to Comment Translation: A Comparative Study on Model Effectiveness & Errors
https://github.com/XMUDM/BASTS
공식 코드Improving Code Summarization with Block-wise Abstract Syntax Tree Splitting
https://github.com/aakashba/projcon
공식 코드Project-Level Encoding for Neural Source Code Summarization of Subroutines
https://github.com/aakashba/smncode2022
공식 코드https://github.com/agemagician/CodeTrans
공식 코드https://github.com/apcl-research/funcom-useloss
공식 코드Semantic Similarity Loss for Neural Source Code Summarization
https://github.com/apcl-research/jam-cgpt
공식 코드https://github.com/apcl-research/transformerfc
공식 코드https://github.com/basedrhys/obfuscated-code2vec
공식 코드Embedding Java Classes with code2vec: Improvements from Variable Obfuscation
https://github.com/csebuetnlp/CoDesc
공식 코드https://github.com/dakuo/haconvgnn
공식 코드https://github.com/danielzuegner/code-transformer
공식 코드Language-Agnostic Representation Learning of Source Code from Structure and Context
https://github.com/gingasan/sit3
공식 코드https://github.com/gonez5/script
공식 코드Source Code Summarization with Structural Relative Position Guided Transformer
https://github.com/iamfaith/transformcode
공식 코드TransformCode: A Contrastive Learning Framework for Code Embedding via Subtree Transformation
https://github.com/itakeshi/mlap-graph2seq
공식 코드https://github.com/jianguda/afm4acs
공식 코드https://github.com/jundaz/VPT
공식 코드https://github.com/mdrafiqulrabin/CI-Memorization
공식 코드Memorization and Generalization in Neural Code Intelligence Models
https://github.com/mdrafiqulrabin/SIVAND
공식 코드Understanding Neural Code Intelligence Through Program Simplification
https://github.com/mdrafiqulrabin/ci-dd-perses
공식 코드Extracting Label-specific Key Input Features for Neural Code Intelligence Models
https://github.com/mdrafiqulrabin/handcrafted-embeddings
공식 코드https://github.com/mdrafiqulrabin/rm-dd-perses
공식 코드Extracting Label-specific Key Input Features for Neural Code Intelligence Models
https://github.com/mdrafiqulrabin/tnpa-framework
공식 코드https://github.com/mdrafiqulrabin/tnpa-generalizability
공식 코드Evaluation of Generalizability of Neural Program Analyzers under Semantic-Preserving Transformations
https://github.com/microsoft/CodeBERT
공식 코드GraphCodeBERT: Pre-training Code Representations with Data Flow
https://github.com/parasj/contracode
공식 코드https://github.com/rmusab/wrd-score
공식 코드WRDScore: New Metric for Evaluation of Natural Language Generation Models
https://github.com/scam2021-so/scam2021
공식 코드Leveraging Unsupervised Learning to Summarize APIs Discussed in Stack Overflow
https://github.com/sh1doy/summarization_tf
공식 코드https://github.com/shangqing-liu/CCSD-benchmark-for-code-summarization
공식 코드Retrieval-Augmented Generation for Code Summarization via Hybrid GNN
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.