14 citations · 18 across the 4 of their papers we have counts for
5 papers
Evaluating Change Point Detection Methods for Software Performance Regression Analysis
Diego Elias Costa, Michele Tucci, Luca Traini +8
Performance issues in software systems are a critical quality issue that can erode user trust, violate service-level agreements, and ultimately affect business efficiency. Conseque…
A Kernel-Based Approach for Accurate Steady-State Detection in Performance Time Series
Martin Beseda, Vittorio Cortellessa, Daniele Di Pompeo +2
This paper addresses the challenge of accurately detecting the transition from the warmup phase to the steady state in performance metric time series, which is a critical step for…
Identifying and Replicating Code Patterns Driving Performance Regressions in Software Systems
Denivan Campos, Luana Martins, Emanuela Guglielmi +6
Context: Performance regressions negatively impact execution time and memory usage of software systems. Nevertheless, there is a lack of systematic methods to evaluate the effectiv…
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…
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…