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LoGenText-Plus : Improving Neural Machine Translation Based Logging Texts Generation with Syntactic Templates
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Individual Comparisons by Ranking Methods
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An exploratory study on assessing the energy impact of logging on Android applications
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Studying the characteristics of logging practices in mobile apps: a case study on F-Droid
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Log4Perf: suggesting and updating logging locations for web-based systems’ performance monitoring
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Can pre-trained code embeddings improve model performance? Revisiting the use of code embeddings in software engineering tasks
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Ian Goodfellow, Yoshua Bengio, and Aaron Courville: Deep learning
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Automated evolution of feature logging statement levels using Git histories and degree of interest
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Proceedings of the 1997 8th international symposium on software reliability engineering, ISSRE
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Online System Problem Detection by Mining Patterns of Console Logs
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Proceedings of the 23rd International Conference on Software Engineering. ICSE 2001
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DLFinder: Characterizing and Detecting Duplicate Logging Code Smells
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Leveraging Performance Counters and Execution Logs to Diagnose Memory-Related Performance Issues
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An Exploratory Study of Logging Configuration Practice in Java
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Learning-Based Recursive Aggregation of Abstract Syntax Trees for Code Clone Detection
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LoGenText: Automatically Generating Logging Texts Using Neural Machine Translation
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Lightweight Transformation and Fact Extraction with the srcML Toolkit
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Which Variables Should I Log?
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A Qualitative Study of the Benefits and Costs of Logging From Developers’ Perspectives
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Logram: Efficient Log Parsing Using n-Gram Dictionaries
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Studying Duplicate Logging Statements and Their Relationships With Code Clones
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Detecting large-scale system problems by mining console logs
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Where do developers log? an empirical study on logging practices in industry
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Towards Learning Generalizable Code Embeddings Using Task-agnostic Graph Convolutional Networks
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inferredcites →https://doi.org/10.18653/v1/n18-1118openalex-snapshot
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inferredcites →https://doi.org/10.18653/v1/n19-1313openalex-snapshot
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fairseq: A Fast, Extensible Toolkit for Sequence Modeling
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Sequence-to-Dependency Neural Machine Translation
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Coarse-to-Fine Decoding for Neural Semantic Parsing
inferredcites →https://doi.org/10.18653/v1/p18-1117openalex-snapshot
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Document Context Neural Machine Translation with Memory Networks
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BiSET: Bi-directional Selective Encoding with Template for Abstractive Summarization
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Neural Machine Translation with Extended Context
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A Call for Clarity in Reporting BLEU Scores
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Proceedings of the 38th Annual Meeting on Association for Computational Linguistics - ACL '00
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Addressing the Rare Word Problem in Neural Machine Translation
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N-Grammer: Augmenting Transformers with latent n-grams
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lprof: a non-intrusive request flow profiler for distributed systems
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s00521-026-12524-yopenalex-snapshot
Application research of machine translation model based on improved GLR algorithm
inferred← citeshttps://doi.org/10.1007/s44443-025-00064-9openalex-snapshot
Learning the fine-grained code representation for log-level prediction
inferred← citeshttps://doi.org/10.1016/j.jss.2026.112816openalex-snapshot
LogGen: Integrating traditional model and LLM with code analysis for precise log generation
inferred← citeshttps://doi.org/10.1109/ase63991.2025.00161openalex-snapshot
Defects4Log: Benchmarking LLMs for Logging Code Defect Detection and Reasoning
inferred← citeshttps://doi.org/10.1109/dsn69566.2026.00075openalex-snapshot
PDLogger: Automatic Multi-log Generation for Practical Software Development
inferred← citeshttps://doi.org/10.1109/iacis61494.2024.10721728openalex-snapshot
English Translation Assistance System Integrating Machine Learning Algorithms
inferred← citeshttps://doi.org/10.1109/icicr65456.2025.00009openalex-snapshot
Adaptive Optimization Method of Neural Machine Translation Model Based on Generalized Left-to-Right Algorithm
inferred← citeshttps://doi.org/10.1109/ict4da67218.2025.11282517openalex-snapshot
Standardized Logging Approach for Software Code-bases Using Natural Language Processing
inferred← citeshttps://doi.org/10.1109/ms.2025.3631386openalex-snapshot
Detecting Diagnostic Trouble Code Requirement–Implementation Inconsistencies Using LLMs: An Experience Report
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Large Language Models in Software Documentation and Modeling: A Literature Review and Findings
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Characterizing Logs in Vulnerability Reports: In-Depth Analysis and Security Implications
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Exploring the Effectiveness of LLMs in Automated Logging Statement Generation: An Empirical Study
inferred← citeshttps://doi.org/10.1145/3643754openalex-snapshot
Go Static: Contextualized Logging Statement Generation
inferred← citeshttps://doi.org/10.1145/3650212.3652107openalex-snapshot
FastLog: An End-to-End Method to Efficiently Generate and Insert Logging Statements
inferred← citeshttps://doi.org/10.1145/3707457openalex-snapshot
A Catalog of Data Smells for Coding Tasks
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LPB-Gen: Systematic Large Log-Parsing Benchmarks Generation
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Is Your Private Information Logged? An Empirical Study on Android App Logs
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Is Your Private Information Logged? An Empirical Study on Android App Logs
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