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Keyword-guided abstractive code summarization via incorporating structural and contextual information

https://doi.org/10.1016/j.infsof.2022.106987

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What this work says

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

inferredcites →https://doi.org/10.1007/978-981-15-0310-8openalex-snapshot

Software Engineering and Methodology for Emerging Domains

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Deep code comment generation with hybrid lexical and syntactical information

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A Survey of Documentation Practice within Corrective Maintenance

inferredcites →https://doi.org/10.1038/nature14539openalex-snapshot

Deep learning

inferredcites →https://doi.org/10.1049/ip-e.1980.0056openalex-snapshot

Software Maintenance Management

inferredcites →https://doi.org/10.1073/pnas.79.8.2554openalex-snapshot

Neural networks and physical systems with emergent collective computational abilities.

inferredcites →https://doi.org/10.1109/ase40466.2017openalex-snapshot

2017 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE)

inferredcites →https://doi.org/10.1109/icpc.2013.6613830openalex-snapshot

Automatic generation of natural language summaries for Java classes

inferredcites →https://doi.org/10.1109/icpc52881.2021openalex-snapshot

2021 IEEE/ACM 29th International Conference on Program Comprehension (ICPC)

inferredcites →https://doi.org/10.1109/icse.2019.00087openalex-snapshot

A Neural Model for Generating Natural Language Summaries of Program Subroutines

inferredcites →https://doi.org/10.1109/saner34924.2015openalex-snapshot

2015 IEEE 22nd International Conference on Software Analysis, Evolution, and Reengineering (SANER)

inferredcites →https://doi.org/10.1109/saner53432.2022openalex-snapshot

2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)

inferredcites →https://doi.org/10.1109/tse.2017.2734091openalex-snapshot

Measuring Program Comprehension: A Large-Scale Field Study with Professionals

inferredcites →https://doi.org/10.1109/wcre.2010.13openalex-snapshot

On the Use of Automated Text Summarization Techniques for Summarizing Source Code

inferredcites →https://doi.org/10.1145/1085313.1085331openalex-snapshot

A study of the documentation essential to software maintenance

inferredcites →https://doi.org/10.1145/1810295.1810335openalex-snapshot

Supporting program comprehension with source code summarization

inferredcites →https://doi.org/10.1145/1858996.1859006openalex-snapshot

Towards automatically generating summary comments for Java methods

inferredcites →https://doi.org/10.1145/2568225.2568247openalex-snapshot

Improving automated source code summarization via an eye-tracking study of programmers

inferredcites →https://doi.org/10.1145/3196321.3196334openalex-snapshot

Deep code comment generation

inferredcites →https://doi.org/10.1145/3238147openalex-snapshot

Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering

inferredcites →https://doi.org/10.1145/3379597openalex-snapshot

Proceedings of the 17th International Conference on Mining Software Repositories

inferredcites →https://doi.org/10.1145/3387904.3389268openalex-snapshot

Improved Code Summarization via a Graph Neural Network

inferredcites →https://doi.org/10.1145/3426428openalex-snapshot

Proceedings of the 2020 ACM SIGPLAN International Symposium on New Ideas, New Paradigms, and Reflections on Programming and Software

inferredcites →https://doi.org/10.1609/aaai.v32i1.11963openalex-snapshot

Automatic Generation of Text Descriptive Comments for Code Blocks

inferredcites →https://doi.org/10.18653/v1/2020.acl-main.449openalex-snapshot

A Transformer-based Approach for Source Code Summarization

inferredcites →https://doi.org/10.18653/v1/2021.findings-aclopenalex-snapshot

Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021

inferredcites →https://doi.org/10.18653/v1/2021.findings-emnlpopenalex-snapshot

Findings of the Association for Computational Linguistics: EMNLP 2021

inferredcites →https://doi.org/10.18653/v1/2026.acl-longopenalex-snapshot

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

inferredcites →https://doi.org/10.18653/v1/d17-1openalex-snapshot

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing

inferredcites →https://doi.org/10.18653/v1/p16-1154openalex-snapshot

Incorporating Copying Mechanism in Sequence-to-Sequence Learning

inferredcites →https://doi.org/10.18653/v1/p16-1195openalex-snapshot

Summarizing Source Code using a Neural Attention Model

inferredcites →https://doi.org/10.18653/v1/p18-2openalex-snapshot

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

inferredcites →https://doi.org/10.24963/ijcai.2018/314openalex-snapshot

Summarizing Source Code with Transferred API Knowledge

inferredcites →https://doi.org/10.3115/1073083.1073135openalex-snapshot

BLEU

inferredcites →https://doi.org/10.48550/arxiv.1409.3215openalex-snapshot

Sequence to Sequence Learning with Neural Networks

inferredcites →https://doi.org/10.7274/j3860576b5mopenalex-snapshot

Improving Program Comprehension via Automatic Documentation Generation

What points at this work

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

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A review of automatic source code summarization

inferred← citeshttps://doi.org/10.1007/s11390-023-2831-8openalex-snapshot

CHANN: A Hierarchical Neural Network for Clone Consistency Prediction

inferred← citeshttps://doi.org/10.1007/s11432-023-4127-5openalex-snapshot

Deep learning-based software engineering: progress, challenges, and opportunities

inferred← citeshttps://doi.org/10.1016/j.eswa.2024.123946openalex-snapshot

KFCC: A differentiation-aware and keyword-guided fine-grain code comment generation model

inferred← citeshttps://doi.org/10.1016/j.inffus.2023.102058openalex-snapshot

Summarizing source code through heterogeneous feature fusion and extraction

inferred← citeshttps://doi.org/10.1016/j.ipm.2023.103415openalex-snapshot

Summarizing source code with Heterogeneous Syntax Graph and dual position

inferred← citeshttps://doi.org/10.1016/j.jss.2023.111672openalex-snapshot

Diverse title generation for Stack Overflow posts with multiple-sampling-enhanced transformer

inferred← citeshttps://doi.org/10.1016/j.neunet.2024.107067openalex-snapshot

Promises and perils of using Transformer-based models for SE research

inferred← citeshttps://doi.org/10.1016/j.nlp.2026.100223openalex-snapshot

IntentContextCS: Intent-specific context selection for multi-intent code comment generation

inferred← citeshttps://doi.org/10.1016/j.teler.2024.100173openalex-snapshot

Advancements in natural language processing: Implications, challenges, and future directions

inferred← citeshttps://doi.org/10.1080/13658816.2025.2577252openalex-snapshot

Extraction of geoprocessing modeling knowledge from crowdsourced Google Earth Engine scripts by coordinating large and small language models

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Data Quality Matters: A Case Study of Obsolete Comment Detection

inferred← citeshttps://doi.org/10.1109/ijcnn60899.2024.10651243openalex-snapshot

APT: Adaptive Prefix-Tuning on Pretrained Models for Code Intelligence

inferred← citeshttps://doi.org/10.1111/exsy.13835openalex-snapshot

Automatic Code Summarization Using Abbreviation Expansion and Subword Segmentation

inferred← citeshttps://doi.org/10.1145/3652156openalex-snapshot

Do Code Summarization Models Process Too Much Information? Function Signature May Be All That Is Needed

inferred← citeshttps://doi.org/10.1145/3674805.3686682openalex-snapshot

Good things come in three: Generating SO Post Titles with Pre-Trained Models, Self Improvement and Post Ranking

inferred← citeshttps://doi.org/10.1145/3725213openalex-snapshot

Wenwang: Toward Effectively Generating Code Beyond Standalone Functions via Generative Pre-trained Models

inferred← citeshttps://doi.org/10.4018/979-8-3373-4460-7.ch003openalex-snapshot

Deploying and Scaling Defect Detection Models

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