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A Novel Refactoring and Semantic Aware Abstract Syntax Tree Differencing Tool and a Benchmark for Evaluating the Accuracy of Diff Tools
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Practical guidelines for measurement-based process improvement
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srcDiff: A syntactic differencing approach to improve the understandability of deltas
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Refactoring: Improving the Design of Existing Code
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Is It Dangerous to Use Version Control Histories to Study Source Code Evolution?
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A Comparative Study of Manual and Automated Refactorings
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AnO(ND) difference algorithm and its variations
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How different are different diff algorithms in Git?
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FixMiner: Mining relevant fix patterns for automated program repair
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An exploratory study on confusion in code reviews
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Mining Python fix patterns via analyzing fine-grained source code changes
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Improving refactoring tools in Smalltalk using static type inference
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RefactorInsight: Enhancing IDE Representation of Changes in Git with Refactorings Information
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Type Migration in Ultra-Large-Scale Codebases
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Evaluating SZZ Implementations Through a Developer-Informed Oracle
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A Differential Testing Approach for Evaluating Abstract Syntax Tree Mapping Algorithms
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Software history under the lens: A study on why and how developers examine it
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Generating Accurate and Compact Edit Scripts Using Tree Differencing
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MigrationMiner: An Automated Detection Tool of Third-Party Java Library Migration at the Method Level
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2015 IEEE International Conference on Software Maintenance and Evolution (ICSME)
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Code Reviewing in the Trenches: Challenges and Best Practices
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Change Distilling:Tree Differencing for Fine-Grained Source Code Change Extraction
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How We Refactor, and How We Know It
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RefDiff 2.0: A Multi-Language Refactoring Detection Tool
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Refactoring Test Smells With JUnit 5: Why Should Developers Keep Up-to-Date?
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BugBuilder: An Automated Approach to Building Bug Repository
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Operation-Based Refactoring-Aware Merging: An Empirical Evaluation
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Hyperparameter Optimization for AST Differencing
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Spike – A code editor plugin highlighting fine-grained changes
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Effective Use of Likert Scales in Visualization Evaluations: A Systematic Review
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Illustrative Motion Smoothing for Attention Guidance in Dynamic Visualizations
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Proceedings of the 2013 International Symposium on Software Testing and Analysis
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Defects4J: a database of existing faults to enable controlled testing studies for Java programs
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Proceedings of the 29th ACM/IEEE International Conference on Automated Software Engineering
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Fine-grained and accurate source code differencing
inferredcites →https://doi.org/10.1145/2950290.2950305openalex-snapshot
Why we refactor? confessions of GitHub contributors
inferredcites →https://doi.org/10.1145/2970276openalex-snapshot
Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering
inferredcites →https://doi.org/10.1145/2970276.2970315openalex-snapshot
Move-optimized source code tree differencing
inferredcites →https://doi.org/10.1145/3180155.3180206openalex-snapshot
Accurate and efficient refactoring detection in commit history
inferredcites →https://doi.org/10.1145/3238147.3238219openalex-snapshot
ClDiff: generating concise linked code differences
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Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering
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Staged Tree Matching for Detecting Code Move across Files
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SmartCommit: a graph-based interactive assistant for activity-oriented commits
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A large-scale empirical study on Java library migrations: prevalence, trends, and rationales
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Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering
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Accurate method and variable tracking in commit history
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inferredcites →https://doi.org/10.1145/3594264.3594265openalex-snapshot
Automating Library Migrations with Error Prone and Refaster
inferredcites →https://doi.org/10.1145/3597503.3639148openalex-snapshot
Fine-grained, accurate and scalable source differencing
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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An Automated Approach to Discovering Software Refactorings by Comparing Successive Versions
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How do Agents Refactor: An Empirical Study
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Single-Metric Size and Complexity Thresholds Fail to Forecast Refactoring
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RefModel: Detecting Refactorings using Foundation Models
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