6 papers
RefAgent: A Multi-agent LLM-based Framework for Automatic Software Refactoring
Khouloud Oueslati, Maxime Lamothe, Foutse Khomh
Large Language Models (LLMs) have substantially influenced various software engineering tasks. Indeed, in the case of software refactoring, traditional LLMs have shown the ability…
From Code Smells to Best Practices: Tackling Resource Leaks in PyTorch, TensorFlow, and Keras
Bashar Abdallah, Martyna E. Wojciechowska, Gustavo Santos +4
Much of the existing ML research focuses on model performance metrics, leaving limited attention to the long-term sustainability and resource efficiency of ML applications. While h…
An Empirical Study on Method-Level Performance Evolution in Open-Source Java Projects
Kaveh Shahedi, Nana Gyambrah, Heng Li +2
Performance is a critical quality attribute in software development, yet the impact of method-level code changes on performance evolution remains poorly understood. While developer…
From Technical Excellence to Practical Adoption: Lessons Learned Building an ML-Enhanced Trace Analysis Tool
Kaveh Shahedi, Matthew Khouzam, Heng Li +2
System tracing has become essential for understanding complex software behavior in modern systems, yet sophisticated trace analysis tools face significant adoption gaps in industri…
Automated, Unsupervised, and Auto-parameterized Inference of Data Patterns and Anomaly Detection
Qiaolin Qin, Heng Li, Ettore Merlo +1
With the advent of data-centric and machine learning (ML) systems, data quality is playing an increasingly critical role in ensuring the overall quality of software systems. Data p…
Tracing Optimization for Performance Modeling and Regression Detection
Kaveh Shahedi, Heng Li, Maxime Lamothe +1
Software performance modeling plays a crucial role in developing and maintaining software systems. A performance model analytically describes the relationship between the performan…