3 citations · 4 across the 6 of their papers we have counts for
9 papers
Discovering Performance Archetypes: Critical-Path-Aware Pattern Analysis and Regression Detection
Kaveh Shahedi, Heng Li, Maxime Lamothe +1
Software performance analysis and prediction requires integrating multiple signals, as code structure alone cannot capture runtime behavior shaped by execution frequency, resource…
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…
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…
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…
Re-Ranking Step by Step: Investigating Pre-Filtering for Re-Ranking with Large Language Models
Baharan Nouriinanloo, Maxime Lamothe
Large Language Models (LLMs) have been revolutionizing a myriad of natural language processing tasks with their diverse zero-shot capabilities. Indeed, existing work has shown that…
Mining Action Rules for Defect Reduction Planning
Khouloud Oueslati, Gabriel Laberge, Maxime Lamothe +1
Defect reduction planning plays a vital role in enhancing software quality and minimizing software maintenance costs. By training a black box machine learning model and "explaining…