Cover Image

LLM-Guided Genetic Improvement: Envisioning Semantic Aware Automated Software Evolution

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Even-Mendoza, Karine, Brownlee, Alexander, Geiger, Alina, Hanna, Carol, Petke, Justyna, Sarro, Federica, Sobania, Dominik
Format:	Preprint
Published:	2025
Subjects:	Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Hot Fixing Software: A Comprehensive Review of Terminology, Techniques, and Applications
by: Hanna, Carol, et al.
Published: (2024)

Hot Fixing in the Wild
by: Hanna, Carol, et al.
Published: (2026)

HotBugs.jar: A Benchmark of Hot Fixes for Time-Critical Bugs
by: Hanna, Carol, et al.
Published: (2025)

A Comprehensive Survey of Benchmarks for Automated Improvement of Software's Non-Functional Properties
by: Blot, Aymeric, et al.
Published: (2022)

Reinforcement Learning for Mutation Operator Selection in Automated Program Repair
by: Hanna, Carol, et al.
Published: (2023)

Empirical and Sustainability Aspects of Software Engineering Research in the Era of Large Language Models: A Reflection
by: Williams, David, et al.
Published: (2025)

SkillMOO: Multi-Objective Optimization of Agent Skills for Software Engineering
by: Gong, Jingzhi, et al.
Published: (2026)

Test-based Patch Clustering for Automatically-Generated Patches Assessment
by: Martinez, Matias, et al.
Published: (2022)

Unveiling Practical Shortcomings of Patch Overfitting Detection Techniques
by: Williams, David, et al.
Published: (2026)

Understanding Fairness in Software Engineering: Insights from Stack Exchange
by: Sesari, Emeralda, et al.
Published: (2024)

It is Giving Major Satisfaction: Why Fairness Matters for Software Practitioners
by: Sesari, Emeralda, et al.
Published: (2024)

BayesInsights: Modelling Software Delivery and Developer Experience with Bayesian Networks at Bloomberg
by: Kirbas, Serkan, et al.
Published: (2026)

ReFuzzer: Feedback-Driven Approach to Enhance Validity of LLM-Generated Test Programs
by: Shree, Iti, et al.
Published: (2025)

Automated Repair of Ambiguous Problem Descriptions for LLM-Based Code Generation
by: Jia, Haoxiang, et al.
Published: (2025)

JMigBench: A Benchmark for Evaluating LLMs on Source Code Migration (Java 8 to Java 11)
by: Amin, Nishil, et al.
Published: (2026)

FairRF: Multi-Objective Search for Single and Intersectional Software Fairness
by: d'Alosio, Giordano, et al.
Published: (2026)

Exploring LLM-Driven Explanations for Quantum Algorithms
by: d'Aloisio, Giordano, et al.
Published: (2024)

Semantic Evolution over Populations for LLM-Guided Automated Program Repair
by: Le, Cuong Chi, et al.
Published: (2026)

Toward Live Noise Fingerprinting in Quantum Software Engineering
by: Bensoussan, Avner, et al.
Published: (2025)

ROIDS: Robust Outlier-Aware Informed Down-Sampling
by: Geiger, Alina, et al.
Published: (2026)

Charting The Evolution of Solidity Error Handling
by: Mitropoulos, Charalambos, et al.
Published: (2024)

A Performance Analysis of Lexicase-Based and Traditional Selection Methods in GP for Symbolic Regression
by: Geiger, Alina, et al.
Published: (2024)

Fairness Improvement with Multiple Protected Attributes: How Far Are We?
by: Chen, Zhenpeng, et al.
Published: (2023)

Psychological Safety Framework in Pull-based Open Source Projects
by: Sesari, Emeralda, et al.
Published: (2025)

HerAgent: Rethinking the Automated Environment Deployment via Hierarchical Test Pyramid
by: Li, Xiang, et al.
Published: (2026)

How Do Generative Models Draw a Software Engineer? A Case Study on Stable Diffusion Bias
by: Fadahunsi, Tosin, et al.
Published: (2025)

Diversity Drives Fairness: Ensemble of Higher Order Mutants for Intersectional Fairness of Machine Learning Software
by: Chen, Zhenpeng, et al.
Published: (2024)

GA4GC: Greener Agent for Greener Code via Multi-Objective Configuration Optimization
by: Gong, Jingzhi, et al.
Published: (2025)

Environment-in-the-Loop: Rethinking Code Migration with LLM-based Agents
by: Li, Xiang, et al.
Published: (2026)

Envisioning Responsible Quantum Software Engineering and Quantum Artificial Intelligence
by: Bano, Muneera, et al.
Published: (2024)

Unveiling Overlooked Performance Variance in Serverless Computing
by: Wen, Jinfeng, et al.
Published: (2023)

Comparing AI Coding Agents: A Task-Stratified Analysis of Pull Request Acceptance
by: Pinna, Giovanni, et al.
Published: (2026)

From Research to Practice: An Interactive Rapid Review of Autonomous Driving System Testing in Industry
by: Song, Qunying, et al.
Published: (2026)

LLM-Based Misconfiguration Detection for AWS Serverless Computing
by: Wen, Jinfeng, et al.
Published: (2024)

On The Effectiveness of One-Class Support Vector Machine in Different Defect Prediction Scenarios
by: Moussa, Rebecca, et al.
Published: (2022)

Accelerating Quantum Eigensolver Algorithms With Machine Learning
by: Bensoussan, Avner, et al.
Published: (2024)

GreenMalloc: Allocator Optimisation for Industrial Workloads
by: Dakhama, Aidan, et al.
Published: (2025)

Generative AI for Testing of Autonomous Driving Systems: A Survey
by: Song, Qunying, et al.
Published: (2025)

Was Tournament Selection All We Ever Needed? A Critical Reflection on Lexicase Selection
by: Geiger, Alina, et al.
Published: (2025)

Fairness Testing: A Comprehensive Survey and Analysis of Trends
by: Chen, Zhenpeng, et al.
Published: (2022)