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Go Static: Contextualized Logging Statement Generation
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/smr.1579openalex-snapshot
An exploratory study of the evolution of communicated information about the execution of large software systems
inferredcites →https://doi.org/10.1007/s10664-016-9456-2openalex-snapshot
Which log level should developers choose for a new logging statement?
inferredcites →https://doi.org/10.1007/s10664-017-9518-0openalex-snapshot
Examining the stability of logging statements
inferredcites →https://doi.org/10.1016/j.infsof.2022.107066openalex-snapshot
Memorization and Generalization in Neural Code Intelligence Models
inferredcites →https://doi.org/10.1109/apsec46353.2018openalex-snapshot
2018 25th Asia-Pacific Software Engineering Conference (APSEC)
inferredcites →https://doi.org/10.1109/ase56229.2023.00031openalex-snapshot
Generative Type Inference for Python
inferredcites →https://doi.org/10.1109/aswec46548.2018openalex-snapshot
2018 25th Australasian Software Engineering Conference (ASWEC)
inferredcites →https://doi.org/10.1109/compsac35742.2016openalex-snapshot
2016 IEEE 40th Annual Computer Software and Applications Conference (COMPSAC)
inferredcites →https://doi.org/10.1109/icse.2012.6227202openalex-snapshot
Characterizing logging practices in open-source software
inferredcites →https://doi.org/10.1109/icse.2017.15openalex-snapshot
Characterizing and Detecting Anti-Patterns in the Logging Code
inferredcites →https://doi.org/10.1109/icse43902.2021openalex-snapshot
2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE)
inferredcites →https://doi.org/10.1109/icse48619.2023.00079openalex-snapshot
On the Temporal Relations between Logging and Code
inferredcites →https://doi.org/10.1109/icsme46990.2020openalex-snapshot
2020 IEEE International Conference on Software Maintenance and Evolution (ICSME)
inferredcites →https://doi.org/10.1109/saner.2018.8330197openalex-snapshot
SMARTLOG: Place error log statement by deep understanding of log intention
inferredcites →https://doi.org/10.1109/saner50967.2021openalex-snapshot
2021 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)
inferredcites →https://doi.org/10.1109/tnsm.2022.3209317openalex-snapshot
REVAL: Recommend Which Variables to Log With Pretrained Model and Graph Neural Network
inferredcites →https://doi.org/10.1109/tse.2019.2941943openalex-snapshot
Which Variables Should I Log?
inferredcites →https://doi.org/10.1145/2110356.2110360openalex-snapshot
Improving Software Diagnosability via Log Enhancement
inferredcites →https://doi.org/10.1145/3238147.3238193openalex-snapshot
Characterizing the natural language descriptions in software logging statements
inferredcites →https://doi.org/10.1145/3238147.3238214openalex-snapshot
An automated approach to estimating code coverage measures via execution logs
inferredcites →https://doi.org/10.1145/3276511openalex-snapshot
Precision-guided context sensitivity for pointer analysis
inferredcites →https://doi.org/10.1145/3297663openalex-snapshot
Proceedings of the 2019 ACM/SPEC International Conference on Performance Engineering
inferredcites →https://doi.org/10.1145/3510003.3511561openalex-snapshot
Using deep learning to generate complete log statements
inferredcites →https://doi.org/10.1145/3533767.3534379openalex-snapshot
TeLL: log level suggestions via modeling multi-level code block information
inferredcites →https://doi.org/10.1145/3544497.3544499openalex-snapshot
An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection
inferredcites →https://doi.org/10.1145/3624740openalex-snapshot
LoGenText-Plus : Improving Neural Machine Translation Based Logging Texts Generation with Syntactic Templates
inferredcites →https://doi.org/10.3115/1073012openalex-snapshot
Proceedings of the 39th Annual Meeting on Association for Computational Linguistics - ACL '01
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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/10.1109/2575-8411.2026.00046openalex-snapshot
Prism: Proactive Workload-Aware Optimization for Hybrid-Service in LMaaS Systems
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/ase63991.2025.00272openalex-snapshot
LogPilot: Intent-aware and Scalable Alert Diagnosis for Large-scale Online Service Systems
inferred← citeshttps://doi.org/10.1109/ase63991.2025.00283openalex-snapshot
Automated Proactive Logging Quality Improvement for Large-Scale Codebases
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/icde65706.2026.00163openalex-snapshot
SLGParser: Practical and Efficient Label-Free Log Parsing Using Large Language Models
inferred← citeshttps://doi.org/10.1109/icse-companion66252.2025.00056openalex-snapshot
Towards Quality Assurance of Natural Language in Code
inferred← citeshttps://doi.org/10.1109/icse55347.2025.00234openalex-snapshot
COCA: Generative Root Cause Analysis for Distributed Systems with Code Knowledge
inferred← citeshttps://doi.org/10.1109/icst62969.2025.10988921openalex-snapshot
Benchmarking Open-Source Large Language Models for Log Level Suggestion
inferred← citeshttps://doi.org/10.1109/issre62328.2024.00055openalex-snapshot
Demystifying and Extracting Fault-indicating Information from Logs for Failure Diagnosis
inferred← citeshttps://doi.org/10.1109/tse.2025.3644183openalex-snapshot
Benchmarking AI Models in Software Engineering: A Review, Search Tool, and Unified Approach for Elevating Benchmark Quality
inferred← citeshttps://doi.org/10.1145/3691620.3695503openalex-snapshot
Contextualized Data-Wrangling Code Generation in Computational Notebooks
inferred← citeshttps://doi.org/10.1145/3708519openalex-snapshot
Automatic Programming: Large Language Models and Beyond
inferred← citeshttps://doi.org/10.1145/3729377openalex-snapshot
No More Labelled Examples? An Unsupervised Log Parser with LLMs
inferred← citeshttps://doi.org/10.1145/3731754openalex-snapshot
LogUpdater : Automated Detection and Repair of Specific Defects in Logging Statements
inferred← citeshttps://doi.org/10.1145/3755881.3755889openalex-snapshot
AUCAD: Automated Construction of Alignment Dataset from Log-Related Issues for Enhancing LLM-based Log Generation
inferred← citeshttps://doi.org/10.1145/3773287openalex-snapshot
Larger Is Not Always Better: Exploring Small Open-Source Language Models in Logging Statement Generation
inferred← citeshttps://doi.org/10.1145/3794763.3794796openalex-snapshot
AutoLogger: A Multi-Agent Framework for the End-to-End Automated Logging
inferred← citeshttps://doi.org/10.1145/3796263.3796265openalex-snapshot
Artificial intelligence tools in code quality analysis:A systematic review
inferred← citeshttps://doi.org/10.1145/3797129openalex-snapshot
Towards Secure Logging: Characterizing and Benchmarking Logging Code Security Issues with LLMs
inferred← citeshttps://doi.org/10.1145/3797145openalex-snapshot
Small Is Beautiful: A Practical and Efficient Log Parsing Framework
inferred← citeshttps://doi.org/10.1145/3812653openalex-snapshot
An Automated Approach to Reveal Missing Logs around Sensitive Operations
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