21 citations · 21 across the 3 of their papers we have counts for
4 papers
Testuary: Agentic Test Generation with Zero-Shot Parallelism
Kevin Kammler, Dominik Sobania
Agentic approaches for automated test generation can reach high-quality results, but they improve a given test suite incrementally, so a weak starting point may lead to many iterat…
SkillMOO: Multi-Objective Optimization of Agent Skills for Software Engineering
Jingzhi Gong, Ruizhen Gu, Zhiwei Fei +7
Agent skills are increasingly used to configure coding agents for software engineering (SE) tasks, yet current practice treats them as static, hand-crafted assets, or evolved on pa…
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…
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…