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Why My Code Summarization Model Does Not Work

https://doi.org/10.1145/3434280
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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-030-36802-9_69openalex-snapshot
Code Summarization with Abstract Syntax Tree
inferredcites →https://doi.org/10.1007/978-3-030-36808-1_42openalex-snapshot
Code Generation from Supervised Code Embeddings
inferredcites →https://doi.org/10.1007/s10664-012-9230-zopenalex-snapshot
On using machine learning to automatically classify software applications into domain categories
inferredcites →https://doi.org/10.1007/s10664-019-09694-wopenalex-snapshot
Classifying code comments in Java software systems
inferredcites →https://doi.org/10.1007/s10664-019-09730-9openalex-snapshot
Deep code comment generation with hybrid lexical and syntactical information
inferredcites →https://doi.org/10.1016/j.jss.2007.03.004openalex-snapshot
Examining the significance of high-level programming features in source code author classification
inferredcites →https://doi.org/10.1016/j.jss.2011.09.019openalex-snapshot
On the relationship between comment update practices and Software Bugs
inferredcites →https://doi.org/10.1023/a:1010933404324openalex-snapshot
Random Forests
inferredcites →https://doi.org/10.1023/b:lida.0000048322.42751.caopenalex-snapshot
A Survey of Documentation Practice within Corrective Maintenance
inferredcites →https://doi.org/10.1037/h0031619openalex-snapshot
Measuring nominal scale agreement among many raters.
inferredcites →https://doi.org/10.1109/32.799955openalex-snapshot
Qualitative methods in empirical studies of software engineering
inferredcites →https://doi.org/10.1109/apsec48747.2019.00076openalex-snapshot
Neural Comment Generation for Source Code with Auxiliary Code Classification Task
inferredcites →https://doi.org/10.1109/ase.2019.00026openalex-snapshot
Automatic Generation of Pull Request Descriptions
inferredcites →https://doi.org/10.1109/icpc.2013.6613836openalex-snapshot
Quality analysis of source code comments
inferredcites →https://doi.org/10.1109/icpc.2019.00019openalex-snapshot
A Large-Scale Empirical Study on Code-Comment Inconsistencies
inferredcites →https://doi.org/10.1109/icse.2015.288openalex-snapshot
Automatic Documentation Generation via Source Code Summarization
inferredcites →https://doi.org/10.1109/icse.2019.00098openalex-snapshot
How Practitioners Perceive Coding Proficiency
inferredcites →https://doi.org/10.1109/ms.2006.105openalex-snapshot
How are Java software developers using the Eclipse IDE?
inferredcites →https://doi.org/10.1109/msr.2017.63openalex-snapshot
Classifying Code Comments in Java Open-Source Software Systems
inferredcites →https://doi.org/10.1109/saner.2015.7081848openalex-snapshot
CloCom: Mining existing source code for automatic comment generation
inferredcites →https://doi.org/10.1109/saner.2016.92openalex-snapshot
Software Language Identification with Natural Language Classifiers
inferredcites →https://doi.org/10.1109/tsc.2016.2560165openalex-snapshot
Query Expansion Based on Crowd Knowledge for Code Search
inferredcites →https://doi.org/10.1109/tse.2013.12openalex-snapshot
Patterns of Knowledge in API Reference Documentation
inferredcites →https://doi.org/10.1109/tse.2015.2465386openalex-snapshot
Automatic Source Code Summarization of Context for Java Methods
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/tse.2018.2877678openalex-snapshot
Perceptions, Expectations, and Challenges in Defect Prediction
inferredcites →https://doi.org/10.1109/tse.2020.2979701openalex-snapshot
Reinforcement-Learning-Guided Source Code Summarization Using Hierarchical Attention
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/10.1145/1810295.1810335openalex-snapshot
Supporting program comprehension with source code summarization
inferredcites →https://doi.org/10.1145/1835804openalex-snapshot
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
inferredcites →https://doi.org/10.1145/2382577.2382579openalex-snapshot
Leakage in data mining
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/10.1145/2597008.2597793openalex-snapshot
Improving topic model source code summarization
inferredcites →https://doi.org/10.1145/2889160.2889171openalex-snapshot
TASSAL
inferredcites →https://doi.org/10.1145/2901739.2901767openalex-snapshot
From query to usable code
inferredcites →https://doi.org/10.1145/2970276.2970341openalex-snapshot
Bugram: bug detection with n-gram language models
inferredcites →https://doi.org/10.1145/3196321.3196334openalex-snapshot
Deep code comment generation
inferredcites →https://doi.org/10.1145/3238147.3238190openalex-snapshot
Neural-machine-translation-based commit message generation: how far are we?
inferredcites →https://doi.org/10.1145/3238147.3240471openalex-snapshot
A neural framework for retrieval and summarization of source code
inferredcites →https://doi.org/10.1145/3290353openalex-snapshot
code2vec: learning distributed representations of code
inferredcites →https://doi.org/10.1145/3361242.3362774openalex-snapshot
A Neural-Network based Code Summarization Approach by Using Source Code and its Call Dependencies
inferredcites →https://doi.org/10.1145/3377811.3380427openalex-snapshot
CPC
inferredcites →https://doi.org/10.1145/3377816.3381736openalex-snapshot
Where should I comment my code?
inferredcites →https://doi.org/10.18653/v1/n19-1394openalex-snapshot
Recommendations for Datasets for Source Code Summarization
inferredcites →https://doi.org/10.18653/v1/n19-4007openalex-snapshot
compare-mt: A Tool for Holistic Comparison of Language Generation Systems
inferredcites →https://doi.org/10.18653/v1/p16-1195openalex-snapshot
Summarizing Source Code using a Neural Attention Model
inferredcites →https://doi.org/10.24963/ijcai.2018/314openalex-snapshot
Summarizing Source Code with Transferred API Knowledge
inferredcites →https://doi.org/10.3115/981574openalex-snapshot
Proceedings of the 31st annual meeting on Association for Computational Linguistics -
inferredcites →https://doi.org/10.4135/9781473957770.n13openalex-snapshot
Qualitative Data Analysis
inferredcites →https://doi.org/10.4230/oasics.slate.2021.14openalex-snapshot
Using Machine Learning for Vulnerability Detection and Classification
inferredcites →https://doi.org/10.48550/arxiv.1605.04464openalex-snapshot
From Query to Usable Code: An Analysis of Stack Overflow Code Snippets
inferredcites →https://doi.org/10.48550/arxiv.1706.03762openalex-snapshot
Attention Is All You Need
inferredcites →https://doi.org/10.5555/1953048.2078195openalex-snapshot
Scikit-learn: Machine Learning in Python
inferredcites →https://doi.org/10.5860/choice.46-2715openalex-snapshot
Introduction to information retrieval

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.70032openalex-snapshot
A Simple Yet Practical Backdoor Prompt Attack Against Black‐Box Code Summarization Engines
inferred← citeshttps://doi.org/10.1002/smr.70157openalex-snapshot
A Grounded Theory Study to Guide AI‐Driven Code Comment Improvement
inferred← citeshttps://doi.org/10.1007/s00521-022-07877-zopenalex-snapshot
ClassSum: a deep learning model for class-level code summarization
inferred← citeshttps://doi.org/10.1007/s10664-022-10284-6openalex-snapshot
Completing Function Documentation Comments Using Structural Information
inferred← citeshttps://doi.org/10.1007/s10664-024-10553-6openalex-snapshot
A review of automatic source code summarization
inferred← citeshttps://doi.org/10.1016/j.engappai.2023.106485openalex-snapshot
Monolingual, multilingual and cross-lingual code comment classification
inferred← citeshttps://doi.org/10.1016/j.jss.2022.111495openalex-snapshot
GT-SimNet: Improving code automatic summarization via multi-modal similarity networks
inferred← citeshttps://doi.org/10.1016/j.jss.2025.112580openalex-snapshot
Context-aware code summary generation
inferred← citeshttps://doi.org/10.1016/j.jss.2026.112969openalex-snapshot
Precision in practice: Knowledge guided code summarizing grounded in industrial expectations
inferred← citeshttps://doi.org/10.1038/s41598-024-69402-7openalex-snapshot
Enhancing source code classification effectiveness via prompt learning incorporating knowledge features
inferred← citeshttps://doi.org/10.1109/ase56229.2023.00130openalex-snapshot
Generating Variable Explanations via Zero-shot Prompt Learning
inferred← citeshttps://doi.org/10.1109/frse58934.2023.00016openalex-snapshot
A Method for Automatic Code Comment Generation Based on Different Keyword Sequences
inferred← citeshttps://doi.org/10.1109/giet65294.2025.11234820openalex-snapshot
Refactoring Prediction Using Multimodal Representation of Code Snippets and Comments
inferred← citeshttps://doi.org/10.1109/icicacs65178.2025.10967908openalex-snapshot
Quantifying the Impact of Non-Code Text Block on Java Code Quality: Multi-Model Framework
inferred← citeshttps://doi.org/10.1109/icpc58990.2023.00024openalex-snapshot
An Extensive Study of the Structure Features in Transformer-based Code Semantic Summarization
inferred← citeshttps://doi.org/10.1109/icpc66645.2025.00036openalex-snapshot
DLCoG: A Novel Framework for Dual-Level Code Comment Generation Based on Semantic Segmentation and In-Context Learning
inferred← citeshttps://doi.org/10.1109/icse48619.2023.00055openalex-snapshot
CrossCodeBench: Benchmarking Cross-Task Generalization of Source Code Models
inferred← citeshttps://doi.org/10.1109/icse48619.2023.00073openalex-snapshot
Developer-Intent Driven Code Comment Generation
inferred← citeshttps://doi.org/10.1109/icse48619.2023.00074openalex-snapshot
Data Quality Matters: A Case Study of Obsolete Comment Detection
inferred← citeshttps://doi.org/10.1109/icse55347.2025.00034openalex-snapshot
Source Code Summarization in the Era of Large Language Models
inferred← citeshttps://doi.org/10.1109/icse55347.2025.00035openalex-snapshot
Code Comment Inconsistency Detection and Rectification Using a Large Language Model
inferred← citeshttps://doi.org/10.1109/ijcnn60899.2024.10650776openalex-snapshot
iiPCS: Intent-Based In-Context Learning for Project-Specific Code Summarization
inferred← citeshttps://doi.org/10.1109/issre52982.2021.00057openalex-snapshot
Improving Code Summarization Through Automated Quality Assurance
inferred← citeshttps://doi.org/10.1109/llm4code66737.2025.00023openalex-snapshot
Hierarchical Repository-Level Code Summarization for Business Applications Using Local LLMs
inferred← citeshttps://doi.org/10.1109/paap56126.2022.10010656openalex-snapshot
Generating High Quality Titles in StackOverflow via Data Denoising Method
inferred← citeshttps://doi.org/10.1109/qrs57517.2022.00093openalex-snapshot
Parameter Description Generation with the Code Parameter Flow
inferred← citeshttps://doi.org/10.1109/qrs60937.2023.00027openalex-snapshot
Integrating Extractive and Abstractive Models for Code Comment Generation
inferred← citeshttps://doi.org/10.1109/qrs62785.2024.00030openalex-snapshot
On the Effectiveness of Large Language Models in Statement-level Code Summarization
inferred← citeshttps://doi.org/10.1109/sp61157.2025.00225openalex-snapshot
Code Speaks Louder: Exploring Security and Privacy Relevant Regional Variations in Mobile Applications
inferred← citeshttps://doi.org/10.1109/tr.2022.3171309openalex-snapshot
CRAM: Code Recommendation With Programming Context Based on Self-Attention Mechanism
inferred← citeshttps://doi.org/10.1109/tse.2021.3138909openalex-snapshot
Just-In-Time Obsolete Comment Detection and Update
inferred← citeshttps://doi.org/10.1109/tse.2022.3216279openalex-snapshot
Towards the Analysis and Completion of Syntactic Structure Ellipsis for Inline Comments
inferred← citeshttps://doi.org/10.1109/tse.2023.3238161openalex-snapshot
Towards Retrieval-Based Neural Code Summarization: A Meta-Learning Approach
inferred← citeshttps://doi.org/10.1109/tse.2024.3422274openalex-snapshot
Esale: Enhancing Code-Summary Alignment Learning for Source Code Summarization
inferred← citeshttps://doi.org/10.1109/tse.2026.3687241openalex-snapshot
Optimizing Knowledge Utilization for Multi-Intent Comment Generation With Large Language Models
inferred← citeshttps://doi.org/10.1145/3502853openalex-snapshot
Correlating Automated and Human Evaluation of Code Documentation Generation Quality
inferred← citeshttps://doi.org/10.1145/3503509openalex-snapshot
Predictive Models in Software Engineering: Challenges and Opportunities
inferred← citeshttps://doi.org/10.1145/3519312openalex-snapshot
A Review on Source Code Documentation
inferred← citeshttps://doi.org/10.1145/3534117openalex-snapshot
On the Significance of Category Prediction for Code-Comment Synchronization
inferred← citeshttps://doi.org/10.1145/3540250.3549145openalex-snapshot
Are we building on the rock? on the importance of data preprocessing for code summarization
inferred← citeshttps://doi.org/10.1145/3546949openalex-snapshot
Suboptimal Comments in Java Projects: From Independent Comment Changes to Commenting Practices
inferred← citeshttps://doi.org/10.1145/3582570openalex-snapshot
A Comparative Study on Method Comment and Inline Comment
inferred← citeshttps://doi.org/10.1145/3611664openalex-snapshot
Snippet Comment Generation Based on Code Context Expansion
inferred← citeshttps://doi.org/10.1145/3617177openalex-snapshot
A First Look at On-device Models in iOS Apps
inferred← citeshttps://doi.org/10.1145/3631968openalex-snapshot
Automated Mapping of Adaptive App GUIs from Phones to TVs
inferred← citeshttps://doi.org/10.1145/3631975openalex-snapshot
Deep Is Better? An Empirical Comparison of Information Retrieval and Deep Learning Approaches to Code Summarization
inferred← citeshttps://doi.org/10.1145/3632742openalex-snapshot
An Extractive-and-Abstractive Framework for Source Code Summarization
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/10.1145/3664810openalex-snapshot
Enhancing GUI Exploration Coverage of Android Apps with Deep Link-Integrated Monkey
inferred← citeshttps://doi.org/10.1145/3708474openalex-snapshot
TG-CUP: A Transformer and GNN-Based Multi-Modal Comment Updating Method
inferred← citeshttps://doi.org/10.1145/3755881.3755897openalex-snapshot
Issue Retrieval and Verification Enhanced Supplementary Code Comment Generation
inferred← citeshttps://doi.org/10.1145/3794763.3794794openalex-snapshot
On the Impact of Code Comments for Automated Bug-Fixing: An Empirical Study
inferred← citeshttps://doi.org/10.1145/3794763.3794806openalex-snapshot
Put The “Code” Back in “Code Comprehension Study”
inferred← citeshttps://doi.org/10.1145/3808102openalex-snapshot
Bash-Commenter: Leveraging Syntax-Aware Preference Optimization to Reinforce Large Language Model for Bash Code Comment Generation
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