2 citations · 3 across the 4 of their papers we have counts for
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An Exploration of Agentic Information Fusion for Test Maintenance Prediction
Jingxiong Liu, Nasser Mohammadiha, Gregory Gay
Test maintenance is a critical, yet costly, activity - particularly as codebases rapidly evolve. To assist, we present MAST, a multi-agent framework that predicts which test cases…
Folklore in Software Engineering: A Definition and Conceptual Foundations
Eduard Enoiu, Jean Malm, Gregory Gay
We explore the concept of folklore within software engineering, drawing from folklore studies to define and characterize narratives, myths, rituals, humor, and informal knowledge t…
Do AI Models Dream of Faster Code? An Empirical Study on LLM-Proposed Performance Improvements in Real-World Software
Lirong Yi, Gregory Gay, Philipp Leitner
Large Language Models (LLMs) can generate code, but can they generate fast code for complex, real-world software systems? In this study, we investigate this question using a datase…
Exploring the Integration of Large Language Models in Industrial Test Maintenance Processes
Jingxiong Liu, Ludvig Lemner, Linnea Wahlgren +3
Much of the cost and effort required during the software testing process is invested in performing test maintenance - the addition, removal, or modification of test cases to keep t…