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Revisiting the Identification of the Co-evolution of Production and Test Code

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What this work says

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

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A Hitchhiker's guide to statistical tests for assessing randomized algorithms in software engineering
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EzUnit: A Framework for Associating Failed Unit Tests with Potential Programming Errors
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On the Interplay Between Software Testing and Evolution and its Effect on Program Comprehension
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Studying the co-evolution of production and test code in open source and industrial developer test processes through repository mining
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An in-depth study of the promises and perils of mining GitHub
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Maintenance-related concerns for post-deployed Ethereum smart contract development: issues, techniques, and future challenges
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Does it matter who pays back Technical Debt? An empirical study of self-fixed TD
inferredcites →https://doi.org/10.1016/j.jss.2020.110750openalex-snapshot
Some SonarQube issues have a significant but small effect on faults and changes. A large-scale empirical study
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Introduction to Information Retrieval
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Measuring nominal scale agreement among many raters.
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Aiding Software Developers to Maintain Developer Tests
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A Large-Scale Empirical Study on Code-Comment Inconsistencies
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2017 IEEE/ACM 39th International Conference on Software Engineering (ICSE)
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A Differential Testing Approach for Evaluating Abstract Syntax Tree Mapping Algorithms
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Identifying reasons for software changes using historic databases
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Supervised vs Unsupervised Models: A Holistic Look at Effort-Aware Just-in-Time Defect Prediction
inferredcites →https://doi.org/10.1109/icsme.2017.9openalex-snapshot
The Co-evolution of Test Maintenance and Code Maintenance through the Lens of Fine-Grained Semantic Changes
inferredcites →https://doi.org/10.1109/icst.2008.47openalex-snapshot
Mining Software Repositories to Study Co-Evolution of Production & Test Code
inferredcites →https://doi.org/10.1109/iwpse.2005.7openalex-snapshot
Challenges in Software Evolution
inferredcites →https://doi.org/10.1109/msr.2009.5069493openalex-snapshot
Using association rules to study the co-evolution of production & test code
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/scam.2014.28openalex-snapshot
Studying Fine-Grained Co-evolution Patterns of Production and Test Code
inferredcites →https://doi.org/10.1109/scam.2015.7335402openalex-snapshot
Automatically identifying focal methods under test in unit test cases
inferredcites →https://doi.org/10.1109/sst.2019.00016openalex-snapshot
Source Code Level Word Embeddings in Aiding Semantic Test-to-Code Traceability
inferredcites →https://doi.org/10.1109/tkde.2005.50openalex-snapshot
Using AUC and accuracy in evaluating learning algorithms
inferredcites →https://doi.org/10.1109/tr.2014.2338254openalex-snapshot
Achievements and Challenges in State-of-the-Art Software Traceability Between Test and Code Artifacts
inferredcites →https://doi.org/10.1109/tse.2007.70731openalex-snapshot
Change Distilling:Tree Differencing for Fine-Grained Source Code Change Extraction
inferredcites →https://doi.org/10.1109/tse.2018.2877678openalex-snapshot
Perceptions, Expectations, and Challenges in Defect Prediction
inferredcites →https://doi.org/10.1109/tse.2019.2937083openalex-snapshot
How does Machine Learning Change Software Development Practices?
inferredcites →https://doi.org/10.1109/tse.2020.2968072openalex-snapshot
RefDiff 2.0: A Multi-Language Refactoring Detection Tool
inferredcites →https://doi.org/10.1109/tse.2020.2978819openalex-snapshot
Just-In-Time Defect Identification and Localization: A Two-Phase Framework
inferredcites →https://doi.org/10.1109/tse.2020.3007722openalex-snapshot
RefactoringMiner 2.0
inferredcites →https://doi.org/10.1142/s0218194016500340openalex-snapshot
ComboRT: A New Approach for Generating Regression Test Cases for Evolving Programs
inferredcites →https://doi.org/10.1145/2642937.2642982openalex-snapshot
Fine-grained and accurate source code differencing
inferredcites →https://doi.org/10.1145/2786805.2804429openalex-snapshot
REMI: defect prediction for efficient API testing
inferredcites →https://doi.org/10.1145/2950290.2950353openalex-snapshot
Effort-aware just-in-time defect prediction: simple unsupervised models could be better than supervised models
inferredcites →https://doi.org/10.1145/2961111.2962606openalex-snapshot
Predicting Crashing Releases of Mobile Applications
inferredcites →https://doi.org/10.1145/3180155.3180206openalex-snapshot
Accurate and efficient refactoring detection in commit history
inferredcites →https://doi.org/10.1145/3194104.3194106openalex-snapshot
Exploring the benefits of utilizing conceptual information in test-to-code traceability
inferredcites →https://doi.org/10.1145/3340482.3342747openalex-snapshot
Towards surgically-precise technical debt estimation: early results and research roadmap
inferredcites →https://doi.org/10.1145/3345629.3345630openalex-snapshot
The Technical Debt Dataset
inferredcites →https://doi.org/10.1145/3377811.3380921openalex-snapshot
Establishing multilevel test-to-code traceability links
inferredcites →https://doi.org/10.1145/3510003.3510205openalex-snapshot
What makes a good commit message?
inferredcites →https://doi.org/10.1145/3540250.3549145openalex-snapshot
Are we building on the rock? on the importance of data preprocessing for code summarization
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The Impact of Co-evolution of Code Production and Test Suites through Software Releases in Open Source Software Systems
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Tracing Naming Semantics in Unit Tests of Popular Github Android Projects
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Ordinal Methods for Behavioral Data Analysis
inferredcites →https://doi.org/10.48550/arxiv.2203.11343openalex-snapshot
Using Evolutionary Coupling to Establish Relevance Links Between Tests and Code Units. A case study on fault localization

What points at this work

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

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Using Dynamic and Static Techniques to Establish Traceability Links Between Production Code and Test Code on Python Projects: A Replication Study
inferred← citeshttps://doi.org/10.1002/smr.70035openalex-snapshot
Test Co‐Evolution in Software Projects: A Large‐Scale Empirical Study
inferred← citeshttps://doi.org/10.1016/j.cose.2025.104723openalex-snapshot
Android app suspicious hidden sensitive operation detection with high coverage of program execution path
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Exploring the integration of large language models in industrial test maintenance processes
inferred← citeshttps://doi.org/10.1109/apsec66846.2025.00017openalex-snapshot
Trace: Test Repair via Agent-based Context Extraction with LLMs
inferred← citeshttps://doi.org/10.1109/ase63991.2025.00046openalex-snapshot
Comprehend, Imitate, and then Update: Unleashing the Power of LLMs in Test Suite Evolution
inferred← citeshttps://doi.org/10.1109/ase63991.2025.00206openalex-snapshot
Unit Test Update through LLM-Driven Context Collection and Error-Type-Aware Refinement
inferred← citeshttps://doi.org/10.1109/icdsca63855.2024.10860129openalex-snapshot
Research on a Neural Machine Translation-Based Approach for Production-Test Code Co-evolution
inferred← citeshttps://doi.org/10.1109/issre62328.2024.00043openalex-snapshot
Fix the Tests: Augmenting LLMs to Repair Test Cases with Static Collector and Neural Reranker
inferred← citeshttps://doi.org/10.1109/msr66628.2025.00071openalex-snapshot
Understanding Test Deletion in Java Applications
inferred← citeshttps://doi.org/10.1109/tse.2024.3449917openalex-snapshot
Method-Level Test-to-Code Traceability Link Construction by Semantic Correlation Learning
inferred← citeshttps://doi.org/10.1109/tse.2025.3553112openalex-snapshot
Understanding and Identifying Technical Debt in the Co-Evolution of Production and Test Code
inferred← citeshttps://doi.org/10.1109/tse.2025.3583027openalex-snapshot
COTE: Predicting Code-to-Test Co-Evolution by Integrating Link Analysis and Pre-Trained Language Model Techniques
inferred← citeshttps://doi.org/10.1145/3660785openalex-snapshot
An Empirical Study on Focal Methods in Deep-Learning-Based Approaches for Assertion Generation
inferred← citeshttps://doi.org/10.1145/3728930openalex-snapshot
REACCEPT: Automated Co-evolution of Production and Test Code Based on Dynamic Validation and Large Language Models
inferred← citeshttps://doi.org/10.1145/3728951openalex-snapshot
A Large-Scale Empirical Study on Fine-Tuning Large Language Models for Unit Testing
inferred← citeshttps://doi.org/10.1145/3794763.3794816openalex-snapshot
Leveraging Change Types and Contexts to Guide LLMs for Automated Test Code Updating
inferred← citeshttps://doi.org/10.1145/3832264openalex-snapshot
Paired Code Smells and Test Smells: A Fine-Grained Longitudinal Empirical Study
inferred← citeshttps://doi.org/10.1145/3832282openalex-snapshot
On the Evaluation of Large Language Models in Unit Test Evolution (Experience Paper)
inferred← citeshttps://doi.org/10.5753/sbes.2025.11072openalex-snapshot
Highlight Test Code: Visualizing the Co-Evolution of Test and Production Code in Software Repositories
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