A novel co-evolutionary approach to automatic software bug fixing

No abstract is available for this paper.

• Publication year

  2008

• Venue

  2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence)

• Publication date

  2008-06-01

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1109/CEC.2008.4630793
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• On the automation of fixing software bugs

  2008cited by this paper
• Machine invention of quantum computing circuits by means of genetic programming

  2008cited by this paper
• Evolving Modular Recursive Sorting Algorithms

  2007cited by this paper
• Coevolving programs and unit tests from their specification

  2007influential reference
• Software Testing Techniques

  2007cited by this paper
• Patches as better bug reports

  2006cited by this paper
• A Comparison of Bloat Control Methods for Genetic Programming

  2006cited by this paper
• Search‐based software test data generation: a survey

  2004influential reference
• How to Overcome the Equivalent Mutant Problem and Achieve Tailored Selective Mutation Using Co-evolution

  2004cited by this paper
• Fault localization with nearest neighbor queries

  2003cited by this paper
• A framework for automatic debugging

  2002cited by this paper
• The economic impacts of inadequate infrastructure for software testing

  2002cited by this paper
• Grammatical Evolution

  2001cited by this paper
• Automated Debugging: Are We Close

  2001cited by this paper
• Introduction to algorithms [2nd ed.]

  2001cited by this paper
• A search-based automated test-data generation framework for safety-critical software

  2000cited by this paper
• Issues in Scaling Genetic Programming: Breeding Strategies, Tree Generation, and Bloat

  2000cited by this paper
• Challenges in coevolutionary learning: arms-race dynamics, open-endedness, and medicocre stable states

  1998cited by this paper
• New Methods for Competitive Coevolution

  1997cited by this paper
• Model-Based Program Debugging and Repair

  1996cited by this paper
• Strongly Typed Genetic Programming

  1995cited by this paper
• Evolving Turing-Complete Programs for a Register Machine with Self-modifying Code

  1995cited by this paper
• Generality and Difficulty in Genetic Programming: Evolving a Sort

  1993cited by this paper
• Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence

  1992cited by this paper
• Genetic Programming: On the Programming of Computers by Means of Natural Selection

  1992cited by this paper
• Co-evolving parasites improve simulated evolution as an optimization procedure

  1990cited by this paper
• Art of Software Testing

  1979cited by this paper
• Hints on Test Data Selection: Help for the Practicing Programmer

  1978cited by this paper
• Symbolic execution and program testing

  1976cited by this paper

• Error Delayed Is Not Error Handled: Understanding and Fixing Propagated Error-Handling Bugs

  2025cites this paper
• Runtime Bounds for a Coevolutionary Algorithm on Classes of Potential Games

  2025cites this paper
• Improving an emergency repair process with feature models

  2024cites this paper
• On Reducing Network Usage with Genetic Improvement

  2024cites this paper
• When Large Language Models Confront Repository-Level Automatic Program Repair: How Well They Done?

  2024cites this paper
• Open Source AI-based SE Tools: Opportunities and Challenges of Collaborative Software Learning

  2024cites this paper
• Climbing the Hill to Understand the Code

  2024cites this paper
• PythonSaga: Redefining the Benchmark to Evaluate Code Generating LLMs

  2024cites this paper
• Ranking Plausible Patches by Historic Feature Frequencies

  2024cites this paper
• Search-based Automated Program Repair of CPS Controllers Modeled in Simulink-Stateflow

  2024cites this paper
• Evolutionary Testing for Program Repair

  2024cites this paper
• Automated program improvement with reinforcement learning and graph neural networks

  2023cites this paper
• Program Repair With Repeated Learning

  2023cites this paper
• ITER: Iterative Neural Repair for Multi-Location Patches

  2023cites this paper
• The Journal of Systems and Software

  2023cites this paper
• An Empirical Study on Bugs Inside PyTorch: A Replication Study

  2023cites this paper
• Program Repair by Fuzzing over Patch and Input Space

  2023cites this paper
• An Efficient Way of Introducing Gender Into Evolutionary Algorithms

  2023cites this paper
• Automatic Program Repair via Learning Edits on Sequence Code Property Graph

  2023cites this paper
• Log-it: Supporting Programming with Interactive, Contextual, Structured, and Visual Logs

  2023cites this paper
• Impact Analysis of Intelligent Agents in Automatic Fault-Prone Components Prediction and Testing

  2022cites this paper
• Interactive Patch Filtering via Test Generation

  2022cites this paper
• On the Security of Python Virtual Machines: An Empirical Study

  2022cites this paper
• Code and Data Synthesis for Genetic Improvement in Emergent Software Systems

  2022cites this paper
• Runtime analysis of competitive co-evolutionary algorithms for maximin optimisation of a bilinear function

  2022cites this paper
• Transforming Low-Level Variants of Greatest Common Divisor Algorithm: A Case Study

  2022cites this paper
• Towards Repairing Scenario-Based Models with Rich Events

  2021cites this paper
• CrossFix: Collaborative bug fixing by recommending similar bugs

  2021cites this paper
• Improving Image Filters with Cartesian Genetic Programming

  2021influential citation
• Does reusing pre-trained NLP model propagate bugs?

  2021cites this paper
• Empirical Comparison of Search Heuristics for Genetic Improvement of Software

  2021cites this paper
• Augmenting Search-based Techniques with Static Synthesis-based Input Generation

  2021cites this paper
• Toward Better Evolutionary Program Repair

  2020cites this paper
• Obstacles in Fully Automatic Program Repair: A survey

  2020cites this paper
• Stack-Based Genetic Improvement

  2020cites this paper
• A Survey on Automatic Bug Fixing

  2020cites this paper
• Automated repair of feature interaction failures in automated driving systems

  2020cites this paper
• Toward Better Evolutionary Program Repair

  2020cites this paper
• Contract-Based Program Repair Without The Contracts: An Extended Study

  2020cites this paper
• Genetic Programming: 23rd European Conference, EuroGP 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15–17, 2020, Proceedings

  2020cites this paper
• Comparing Genetic Programming Approaches for Non-functional Genetic Improvement

  2020cites this paper
• Fast Bug Detection Algorithm for Identifying Potential Vulnerabilities in Juliet Test Cases

  2020cites this paper
• Test Suit Generation for Object Oriented Programs: A Hybrid Firefly and Differential Evolution Approach

  2020cites this paper
• Learning Code Transformations via Neural Machine Translation

  2019cites this paper
• Restore: Retrospective Fault Localization Enhancing Automated Program Repair

  2019cites this paper
• SapFix: Automated End-to-End Repair at Scale

  2019cites this paper
• Teaching GP to program like a human software developer: using perplexity pressure to guide program synthesis approaches

  2019cites this paper
• Fitness Functions and Transformations in an Automated Process

  2019cites this paper
• Scenario co-evolution for reinforcement learning on a grid world smart factory domain

  2019cites this paper
• Improving Patch Quality by Enhancing Key Components of Automatic Program Repair

  2019cites this paper
• Exploiting parallelism in document similarity tasks with applications

  2019cites this paper
• The Use of Computational Intelligence Paradigms in Smart Software Engineering: Techniques, Applications and Challenges

  2019cites this paper
• The effectiveness of context-based change application on automatic program repair

  2019cites this paper
• Programming Error Repair Guidance Based on Historical Learning Behavior

  2019cites this paper
• Learning Bug-Fixing Patches in the Wild via Neural Machine Translation-: 3 Recurrent Neural Network

  2019cites this paper
• Stryker: Scaling Specification-Based Program Repair by Pruning Infeasible Mutants with SAT

  2019cites this paper
• Automatic patch generation with context-based change application

  2019cites this paper
• Software Quality in the Era of Big Data, IoT and Smart Cities

  2019cites this paper
• Multi-reviewing pull-requests: An exploratory study on GitHub OSS projects

  2019cites this paper
• A survey of genetic improvement search spaces

  2019cites this paper
• Multioracle Coevolutionary Learning of Requirements Specifications from Examples in On-The-Fly Markets

  2019cites this paper
• Effective Testing Of Advanced Driver Assistance Systems Using Evolutionary Algorithms And Machine Learning

  2019cites this paper
• Automated API-usage update for Android apps

  2019cites this paper
• An Empirical Study on Learning Bug-Fixing Patches in the Wild via Neural Machine Translation

  2018cites this paper
• How Does Bug-Handling Eort Dier Among Dierent Programming Languages?

  2018cites this paper
• CODIT: Code Editing With Tree-Based Neural Models

  2018cites this paper
• Automatic Software Repair

  2018cites this paper
• From Runtime Failures to Patches: Study of Patch Generation in Production. (De l'erreur d'exécution aux correctifs: étude de la génération de correctifs en production)

  2018cites this paper
• Evaluating Fitness Functions for Automated Code Transformations

  2018cites this paper
• Automatic test improvement with DSpot: a study with ten mature open-source projects

  2018cites this paper
• A Study of Bug Resolution Characteristics in Popular Programming Languages

  2018cites this paper
• Test-Equivalence Analysis for Automatic Patch Generation

  2018cites this paper
• 1 Test-equivalence Analysis for Automatic Patch Generation

  2018cites this paper
• Some Remarks on Code Evolution with Genetic Programming

  2018cites this paper
• Part B 1 ) 1 ERC Advanced Grant 2016 ( public version of funded proposal ) Evolving Program Improvement Collaborators EPIC

  2018cites this paper
• Evolutionary Approaches to Test Data Generation for Object-Oriented Software: Overview of Techniques and Tools

  2018cites this paper
• TailorFix: An Automated Repair Framework for Assignment Statements

  2018cites this paper
• Improved representation and genetic operators for linear genetic programming for automated program repair

  2018cites this paper
• Applying genetic improvement to a genetic programming library in C++

  2018cites this paper
• The blind software engineer: improving the non-functional properties of software by means of genetic improvement

  2018cites this paper
• CODIT: Code Editing with Tree-Based NeuralMachine Translation

  2018cites this paper
• Tree2Tree Neural Translation Model for Learning Source Code Changes

  2018cites this paper
• Bugs and features, do developers treat them differently?

  2018cites this paper
• MUT-APR: MUTation-Based Automated Program Repair Research Tool

  2018cites this paper
• Genetic Improvement of Software: A Comprehensive Survey

  2018influential citation
• Experiments in genetic divergence for emergent systems

  2018cites this paper
• A New Word Embedding Approach to Evaluate Potential Fixes for Automated Program Repair

  2018cites this paper
• Multi-Discussing across Issues in GitHub: A Preliminary Study

  2018cites this paper
• A Study of Applying Fault-based Genetic-Like Programming Approaches to Automatic Software Fault Corrections

  2018cites this paper
• A Survey of Test Based Automatic Program Repair

  2018cites this paper
• Automatic Software Repair: A Survey

  2018cites this paper
• An Analysis of the Suitability of Test-Based Patch Acceptance Criteria

  2017cites this paper
• The impacts of techniques, programs and tests on automated program repair: An empirical study

  2017cites this paper
• A metamorphic testing approach for supporting program repair without the need for a test oracle

  2017cites this paper
• Semantic Code Repair using Neuro-Symbolic Transformation Networks

  2017cites this paper
• Tortoise: Interactive system configuration repair

  2017cites this paper
• AutoFix: an automated approach to memory leak fixing on value-flow slices for C programs

  2017cites this paper
• What is a fault? and why does it matter?

  2017cites this paper
• Genetic improvement of software: from program landscapes to the automatic improvement of a live system

  2017influential citation
• CPR: cross platform binary code reuse via platform independent trace program

  2017cites this paper