activity
20232026
most citedEnhancing Genetic Improvement Mutations Using Large Language Models

21 citations · 21 across the 4 of their papers we have counts for

collaborators
Showing cs.SEShow all

5 papers · 1 filter

cs.SE2026

Hot Fixing in the Wild

Carol Hanna, Karine Even-Mendoza, W. B. Langdon +3

Despite the operational importance of hot fixes, large-scale evidence on how they reshape routine maintenance workflows, particularly in the era of autonomous coding agents, remain…

cs.SE2025

GreenMalloc: Allocator Optimisation for Industrial Workloads

Aidan Dakhama, W. B. Langdon, Hector D. Menendez +1

We present GreenMalloc, a multi objective search-based framework for automatically configuring memory allocators. Our approach uses NSGA II and rand_malloc as a lightweight proxy b…

cs.SE2025

GA4GC: Greener Agent for Greener Code via Multi-Objective Configuration Optimization

Jingzhi Gong, Yixin Bian, Luis de la Cal +8

Coding agents powered by LLMs face critical sustainability and scalability challenges in industrial deployment, with single runs consuming over 100k tokens and incurring environmen…

cs.SE2025

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

Karine Even-Mendoza, Alexander Brownlee, Alina Geiger +4

Genetic Improvement (GI) of software automatically creates alternative software versions that are improved according to certain properties of interests (e.g., running-time). Search…

cs.SE2023★ 21 cited

Enhancing Genetic Improvement Mutations Using Large Language Models

Alexander E. I. Brownlee, James Callan, Karine Even-Mendoza +5

Large language models (LLMs) have been successfully applied to software engineering tasks, including program repair. However, their application in search-based techniques such as G…