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Beyond FLOPs: Energy-Aware Knowledge Distillation for Sustainable LLMs on Code-Related Tasks
Background: Large Language Models (LLMs) are increasingly being applied to Software Engineering (SE) tasks, achieving high accuracy …
Enrique Barba Roque, Luís Cruz, Annibale Panichella
Preprint
Test Case Selection for Deep Neural Networks: A Replication Study on LLMs for Code (Replicability Study)
Recently, test case selection (TCS) techniques have been explored to support the operational evaluation of deep neural networks (DNNs) …
Ali Asgari, Mitchell Olsthoorn, Annibale Panichella
A Metamorphic Testing Approach to Diagnosing Memorization in LLM-Based Program Repair
LLM-based automated program repair (APR) techniques have shown promising results in reducing debugging costs. However, prior results …
Milan de Koning, Ali Asgari, Pouria Derakhshanfar, Annibale Panichella
Agentic Based Python Dependency Resolution
Antony Bartlett, Cynthia Liem, Annibale Panichella
Observability and Fault Injection for LLM-Based Multi-Agent Systems in Software Engineering
A. Seyedghorban, E. Klimov, Arie van Deursen, Annibale Panichella, Burcu Kulahcioglu Ozkan
Real-World Fault Detection for C-Extended Python Projects with Automated Unit Test Generation
L. Berg, L. Krodinger, S. Lukasczyk, Annibale Panichella, Gordon Fraser, W. Vanhoof, Xavier Devroey
BreachT5: Ensembling CodeT5+ Models for Multi-Label Vulnerability Detection in Smart Contracts
Ethereum smart contracts manage billions in digital assets, and vulnerability detection is critical given the immutability of deployed …
Gregorio Dalia, Tat Luat Nguyen, Andrea Di Sorbo, Corrado Visaggio, Annibale Panichella
Project
Efficient Exploration of Autonomous Driving System Safety Boundaries
Safety evaluation of Autonomous Driving Systems (ADSes) requires identifying the conditions under which behaviour transitions from safe …
Alves Marinov, Paolo Arcaini, Antony Bartlett, Alessio Gambi, Fuyuki Ishikawa, Annibale Panichella
The Last Dependency Crusade: Solving Python Dependency Conflicts with LLMs
Resolving Python dependency issues remains a tedious and error-prone process, forcing developers to manually trial compatible module …
Antony Bartlett, Cynthia Liem, Annibale Panichella
The Pursuit of Diversity: Multi-Objective Testing of Deep Reinforcement Learning Agents
Testing deep reinforcement learning (DRL) agents in safety-critical domains requires discovering diverse failure scenarios. Existing …
Antony Bartlett, Cynthia Liem, Annibale Panichella