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B-Refactoring: Automatic test code refactoring to improve dynamic analysis
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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SPOON : A library for implementing analyses and transformations of Java source code
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Stepping Stones over the Refactoring Rubicon
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Systematic Testing of Refactoring Engines on Real Software Projects
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Model checking JAVA programs using JAVA PathFinder
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Differential precondition checking: a language-independent, reusable analysis for refactoring engines
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Mining software repair models for reasoning on the search space of automated program fixing
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Automatic repair of real bugs in java: a large-scale experiment on the defects4j dataset
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A test case refactoring approach for pattern-based software development
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Exception handling analysis and transformation using fault injection: Study of resilience against unanticipated exceptions
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Analysis and testing of programs with exception handling constructs
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Dynamically discovering likely program invariants to support program evolution
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Prioritizing test cases for regression testing
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Automatic test case optimization using a bacteriological adaptation model: application to .NET components
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Proceedings 25th International Conference on Software Engineering
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Automated support for development, maintenance, and testing in the presence of implicit flow control
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Exception-Chain Analysis: Revealing Exception Handling Architecture in Java Server Applications
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Amplifying tests to validate exception handling code
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DirectFix: Looking for Simple Program Repairs
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29th International Conference on Software Engineering (ICSE'07)
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Learning to Combine Multiple Ranking Metrics for Fault Localization
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2015 IEEE International Conference on Software Maintenance and Evolution (ICSME)
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Supporting Test Suite Evolution through Test Case Adaptation
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Testing for DR: Academic and Industrial Conference Practice and Research Techniques - MUTATION (TAICPART-MUTATION 2007)
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Mutation testing applied to validate specifications based on statecharts
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Proceedings 13th International Symposium on Software Reliability Engineering
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On the Accuracy of Spectrum-based Fault Localization
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A survey of software refactoring
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An Analysis and Survey of the Development of Mutation Testing
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GenProg: A Generic Method for Automatic Software Repair
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Mutation-Driven Generation of Unit Tests and Oracles
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Automated Behavioral Testing of Refactoring Engines
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Nopol: Automatic Repair of Conditional Statement Bugs in Java Programs
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Improving test suites for efficient fault localization
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A domain-specific approach to architecturing error handling in pervasive computing
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Specifying and implementing refactorings
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Proceedings of the eighteenth ACM SIGSOFT international symposium on Foundations of software engineering
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Directed test suite augmentation
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A domain-specific approach to architecturing error handling in pervasive computing
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Proceedings of the ACM SIGSOFT 20th International Symposium on the Foundations of Software Engineering
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A field study of refactoring challenges and benefits
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Proceedings of the 36th International Conference on Software Engineering
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The strength of random search on automated program repair
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MintHint: automated synthesis of repair hints
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The plastic surgery hypothesis
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Fine-grained and accurate source code differencing
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An analysis of patch plausibility and correctness for generate-and-validate patch generation systems
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inferredcites →https://doi.org/10.1145/941566.941569openalex-snapshot
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inferredcites →https://doi.org/10.5555/2486788.2486890openalex-snapshot
SemFix: program repair via semantic analysis
inferredcites →https://doi.org/10.5555/2662413.2662435openalex-snapshot
A refactoring-based approach for test case selection and prioritization
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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The untold story of code refactoring customizations in practice
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How do Multiple Pull Requests Change the Same Code: A Study of Competing Pull Requests in GitHub
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Nopol: Automatic Repair of Conditional Statement Bugs in Java Programs
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Fine-Grained Test Minimization
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Automatic unit test amplification for DevOps
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