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A Survey of Software Log Instrumentation

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What this work says

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

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Summary of Sarbanes‐Oxley Act of 2002
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An exploratory study of the evolution of communicated information about the execution of large software systems
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Principles of Program Analysis
inferredcites →https://doi.org/10.1007/s10664-016-9429-5openalex-snapshot
Characterizing logging practices in Java-based open source software projects – a replication study in Apache Software Foundation
inferredcites →https://doi.org/10.1007/s10664-016-9449-1openalex-snapshot
To log, or not to log: using heuristics to identify mandatory log events – a controlled experiment
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/s10664-016-9467-zopenalex-snapshot
Towards just-in-time suggestions for log changes
inferredcites →https://doi.org/10.1007/s10664-018-9595-8openalex-snapshot
Studying software logging using topic models
inferredcites →https://doi.org/10.1007/s10664-018-9603-zopenalex-snapshot
Studying and detecting log-related issues
inferredcites →https://doi.org/10.1007/s10664-019-09690-0openalex-snapshot
Extracting and studying the Logging-Code-Issue- Introducing changes in Java-based large-scale open source software systems
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An exploratory study of the effect of aspect-oriented programming on maintainability
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Logging and Log Management: The Authoritative Guide to Understanding the Concepts Surrounding Logging and Log Management
inferredcites →https://doi.org/10.1109/apsec.2017.61openalex-snapshot
A Systematic Review of Logging Practice in Software Engineering
inferredcites →https://doi.org/10.1109/apsec.2018.00078openalex-snapshot
An Automatic Approach to Validating Log Levels in Java
inferredcites →https://doi.org/10.1109/compsac.2016.149openalex-snapshot
LogOptPlus: Learning to Optimize Logging in Catch and If Programming Constructs
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Refactoring improving the design of existing code
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A Logging Approach for Effective Dependability Evaluation of Complex Systems
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Proceedings. 2005 International Conference on Dependable Systems and Networks
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Assessing and improving the effectiveness of logs for the analysis of software faults
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Applying Runtime Monitoring to the Industrial Internet of Things
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Proceedings 24th International Conference on Distributed Computing Systems
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Improving the Software Logging Practices in DevOps
inferredcites →https://doi.org/10.1109/icse.2013.6606586openalex-snapshot
Assisting developers of Big Data Analytics Applications when deploying on Hadoop clouds
inferredcites →https://doi.org/10.1109/icse.2015.145openalex-snapshot
Industry Practices and Event Logging: Assessment of a Critical Software Development Process
inferredcites →https://doi.org/10.1109/icse.2015.60openalex-snapshot
Learning to Log: Helping Developers Make Informed Logging Decisions
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/icse.2019.00032openalex-snapshot
DLFinder: Characterizing and Detecting Duplicate Logging Code Smells
inferredcites →https://doi.org/10.1109/icsm.2005.55openalex-snapshot
Instrumenting contracts with aspect-oriented programming to increase observability and support debugging
inferredcites →https://doi.org/10.1109/icsm.2005.57openalex-snapshot
Isolating idiomatic crosscutting concerns
inferredcites →https://doi.org/10.1109/icsm.2008.4658079openalex-snapshot
Automatic identification of load testing problems
inferredcites →https://doi.org/10.1109/icsm.2009.5306331openalex-snapshot
Automated performance analysis of load tests
inferredcites →https://doi.org/10.1109/icsme.2019.00079openalex-snapshot
An Exploratory Study of Logging Configuration Practice in Java
inferredcites →https://doi.org/10.1109/icst.2014.27openalex-snapshot
Automated Bug Finding in Video Games: A Case Study for Runtime Monitoring
inferredcites →https://doi.org/10.1109/ipdps.2004.1302887openalex-snapshot
Proceedings 18th International Parallel and Distributed Processing Symposium
inferredcites →https://doi.org/10.1109/issre.2014.30openalex-snapshot
Assessing Direct Monitoring Techniques to Analyze Failures of Critical Industrial Systems
inferredcites →https://doi.org/10.1109/issrew.2014.69openalex-snapshot
Event Logging in an Industrial Development Process: Practices and Reengineering Challenges
inferredcites →https://doi.org/10.1109/issrew.2018.00-22openalex-snapshot
Machine Deserves Better Logging: A Log Enhancement Approach for Automatic Fault Diagnosis
inferredcites →https://doi.org/10.1109/ms.2018.3571230openalex-snapshot
Software Engineering’s Top Topics, Trends, and Researchers
inferredcites →https://doi.org/10.1109/pdse.1997.596829openalex-snapshot
Making distributed applications manageable through instrumentation
inferredcites →https://doi.org/10.1109/saner.2016.105openalex-snapshot
Analyzing the State of Static Analysis: A Large-Scale Evaluation in Open Source Software
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/seams.2019.00030openalex-snapshot
On the Practical Feasibility of Software Monitoring: a Framework for Low-Impact Execution Tracing
inferredcites →https://doi.org/10.1109/sefm.2010.29openalex-snapshot
Designing Log Architectures for Legal Evidence
inferredcites →https://doi.org/10.1109/sose.2014.37openalex-snapshot
MTracer: A Trace-Oriented Monitoring Framework for Medium-Scale Distributed Systems
inferredcites →https://doi.org/10.1109/tse.2012.67openalex-snapshot
Event Logs for the Analysis of Software Failures: A Rule-Based Approach
inferredcites →https://doi.org/10.1109/tse.2018.2867847openalex-snapshot
Software Configuration Engineering in Practice Interviews, Survey, and Systematic Literature Review
inferredcites →https://doi.org/10.1109/tse.2018.2887384openalex-snapshot
Fault Analysis and Debugging of Microservice Systems: Industrial Survey, Benchmark System, and Empirical Study
inferredcites →https://doi.org/10.1109/tse.2019.2941943openalex-snapshot
Which Variables Should I Log?
inferredcites →https://doi.org/10.1145/1140277openalex-snapshot
Proceedings of the joint international conference on Measurement and modeling of computer systems
inferredcites →https://doi.org/10.1145/1146238.1146259openalex-snapshot
Run-time monitoring of architecturally significant behaviors using behavioral profiles and aspects
inferredcites →https://doi.org/10.1145/1272996.1273001openalex-snapshot
Whodunit
inferredcites →https://doi.org/10.1145/1502777.1502779openalex-snapshot
A new approach to secure logging
inferredcites →https://doi.org/10.1145/1950365.1950369openalex-snapshot
Improving software diagnosability via log enhancement
inferredcites →https://doi.org/10.1145/1966445.1966464openalex-snapshot
Striking a new balance between program instrumentation and debugging time
inferredcites →https://doi.org/10.1145/1982185.1982471openalex-snapshot
Large-scale, AST-based API-usage analysis of open-source Java projects
inferredcites →https://doi.org/10.1145/2481244.2481247openalex-snapshot
Scaling big data mining infrastructure
inferredcites →https://doi.org/10.1145/2591062.2591175openalex-snapshot
Where do developers log? an empirical study on logging practices in industry
inferredcites →https://doi.org/10.1145/2746194.2746200openalex-snapshot
Enabling forensics by proposing heuristics to identify mandatory log events
inferredcites →https://doi.org/10.1145/2785956.2787496openalex-snapshot
Pingmesh
inferredcites →https://doi.org/10.1145/2815400.2815415openalex-snapshot
Pivot tracing
inferredcites →https://doi.org/10.1145/2856636.2856637openalex-snapshot
LogOpt
inferredcites →https://doi.org/10.1145/2889160.2889231openalex-snapshot
The bones of the system
inferredcites →https://doi.org/10.1145/302405openalex-snapshot
Proceedings of the 21st international conference on Software engineering
inferredcites →https://doi.org/10.1145/3102980.3103001openalex-snapshot
The Game of Twenty Questions
inferredcites →https://doi.org/10.1145/3132747.3132749openalex-snapshot
Canopy
inferredcites →https://doi.org/10.1145/3132747.3132778openalex-snapshot
Log20
inferredcites →https://doi.org/10.1145/3184407openalex-snapshot
Proceedings of the 2018 ACM/SPEC International Conference on Performance Engineering
inferredcites →https://doi.org/10.1145/3238147openalex-snapshot
Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering
inferredcites →https://doi.org/10.1145/3238147.3238214openalex-snapshot
An automated approach to estimating code coverage measures via execution logs
inferredcites →https://doi.org/10.1145/3241737openalex-snapshot
A Manifesto for Future Generation Cloud Computing
inferredcites →https://doi.org/10.1145/3276945.3276952openalex-snapshot
Log++ logging for a cloud-native world
inferredcites →https://doi.org/10.1145/3377811.3380408openalex-snapshot
Studying the use of Java logging utilities in the wild
inferredcites →https://doi.org/10.1145/3419111openalex-snapshot
Proceedings of the 11th ACM Symposium on Cloud Computing
inferredcites →https://doi.org/10.1145/3524842openalex-snapshot
Proceedings of the 19th International Conference on Mining Software Repositories
inferredcites →https://doi.org/10.1145/3593856openalex-snapshot
Proceedings of the 19th Workshop on Hot Topics in Operating Systems
inferredcites →https://doi.org/10.21236/ada417906openalex-snapshot
Aspect Oriented Programming
inferredcites →https://doi.org/10.4204/eptcs.254.2openalex-snapshot
A Survey of Runtime Monitoring Instrumentation Techniques
inferredcites →https://doi.org/10.5381/jot.2010.9.1.a2openalex-snapshot
How AspectJ is Used: An Analysis of Eleven AspectJ Programs.

What points at this work

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

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LogLessen: A Representation Learning Approach to Log Compression via Variational Autoencoders
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A Rule Based Secure Network System - Prevents Log4jshell and SSH Intrusions
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Automated Proactive Logging Quality Improvement for Large-Scale Codebases
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InsightAI: Root Cause Analysis in Large Log Files with Private Data Using Large Language Model
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Log Parsing Using LLMs with Self-Generated In-Context Learning and Self-Correction
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Auto-Logging: AI-centred Logging Instrumentation
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How Do Developers' Profiles and Experiences Influence their Logging Practices? An Empirical Study of Industrial Practitioners
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Boosting Log Observability in Production Systems Through Bytecode-Driven Fault Variable Tracking
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HybridRCA: Lightweight Critical-Path-Aware Hybrid Tracing for Root-Cause Analysis in Production Microservices
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Dynamic Program Analysis with Flexible Instrumentation and Complex Event Processing
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Learning from Mistakes: Understanding Ad-hoc Logs through Analyzing Accidental Commits
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Revitalizing KUKA youBot project for Research and Educational purposes: Architecture of a new C++ driver
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Monitoring Probe Deployment Patterns for Cloud-Native Applications: Definition and Empirical Assessment
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Logging Practices in Software Engineering: A Systematic Mapping Study
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Exploring the Effectiveness of LLMs in Automated Logging Statement Generation: An Empirical Study
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An empirical study of log analysis at Microsoft
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Log-it: Supporting Programming with Interactive, Contextual, Structured, and Visual Logs
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Demystify the Fuzzing Methods: A Comprehensive Survey
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AUCAD: Automated Construction of Alignment Dataset from Log-Related Issues for Enhancing LLM-based Log Generation
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Comprehensive Evaluation of Logging Frameworks for Future Vehicle Diagnostics
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Innovation Strategies and Performance of Tea Firms: A Case Study of James Finlay (Kenya) Limited
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