5 papers · 1 filter
Smaller Models, Unexpected Costs: Trade-offs in LLM Quantization for Automated Program Repair
Fernando Vallecillos-Ruiz, Giordano d'Aloisio, Max Hort +3
Large Language Models (LLMs) are powerful tools and have been increasingly adopted for complex software engineering tasks. As the number of parameters increases, results can often…
Investigating Execution-Aware Language Models for Code Optimization
Federico Di Menna, Luca Traini, Gabriele Bavota +1
Code optimization is the process of enhancing code efficiency, while preserving its intended functionality. This process often requires a deep understanding of the code execution b…
On the Compression of Language Models for Code: An Empirical Study on CodeBERT
Giordano d'Aloisio, Luca Traini, Federica Sarro +1
Language models have proven successful across a wide range of software engineering tasks, but their significant computational costs often hinder their practical adoption. To addres…
AI-driven Java Performance Testing: Balancing Result Quality with Testing Time
Luca Traini, Federico Di Menna, Vittorio Cortellessa
Performance testing aims at uncovering efficiency issues of software systems. In order to be both effective and practical, the design of a performance test must achieve a reasonabl…
VAMP: Visual Analytics for Microservices Performance
Luca Traini, Jessica Leone, Giovanni Stilo +1
Analysis of microservices' performance is a considerably challenging task due to the multifaceted nature of these systems. Each request to a microservices system might raise severa…