activity
20232026
most citedEnergiBridge: Empowering Software Sustainability through Cross-Platform Energy Measurement

5 citations · 11 across the 7 of their papers we have counts for

collaborators

9 papers

cs.SE2026

Systematic Detection of Energy Regressions in Software Version Histories

Jérôme Maquoi, François Bechet, Luís Cruz +2

Context: Green software engineering is emerging as a crucial response to the rising energy impact of information technology, especially in continuous development. However, challeng…

cs.SE2026

Beyond FLOPs: Energy-Aware Knowledge Distillation for Sustainable LLMs on Code-Related Task

Enrique Barba Roque, Luís Cruz, Annibale Panichella

Background: Large Language Models (LLMs) are increasingly being applied to Software Engineering (SE) tasks, achieving high accuracy across problems such as clone detection, vulnera…

cs.SE2026

Systematic Detection of Energy Regression and Corresponding Code Patterns in Java Projects

François Bechet, Jérôme Maquoi, Luís Cruz +2

Green software engineering is emerging as a crucial response to information technology's rising energy impact, especially in continuous development. However, there remain challenge…

cs.SE2025

Prepared for the Unknown: Adapting AIOps Capacity Forecasting Models to Data Changes

Lorena Poenaru-Olaru, Wouter van 't Hof, Adrian Stando +5

Capacity management is critical for software organizations to allocate resources effectively and meet operational demands. An important step in capacity management is predicting fu…

cs.NE2025★ 2 cited

Energy Aware Development of Neuromorphic Implantables: From Metrics to Action

Enrique Barba Roque, Luis Cruz

Spiking Neural Networks (SNNs) and neuromorphic computing present a promising alternative to traditional Artificial Neural Networks (ANNs) by significantly improving energy efficie…

cs.SE2025★ 1 cited

On the Effectiveness of the 'Follow-the-Sun' Strategy in Mitigating the Carbon Footprint of AI in Cloud Instances

Roberto Vergallo, Luís Cruz, Alessio Errico +1

'Follow-the-Sun' (FtS) is a theoretical computational model aimed at minimizing the carbon footprint of computer workloads. It involves dynamically moving workloads to regions with…

cs.SE2024

Unveiling the Energy Vampires: A Methodology for Debugging Software Energy Consumption

Enrique Barba Roque, Luis Cruz, Thomas Durieux

Energy consumption in software systems is becoming increasingly important, especially in large-scale deployments. However, debugging energy-related issues remains challenging due t…

cs.LG2024★ 3 cited

Green AI in Action: Strategic Model Selection for Ensembles in Production

Nienke Nijkamp, June Sallou, Niels van der Heijden +1

Integrating Artificial Intelligence (AI) into software systems has significantly enhanced their capabilities while escalating energy demands. Ensemble learning, combining predictio…

cs.SE2023★ 5 cited

EnergiBridge: Empowering Software Sustainability through Cross-Platform Energy Measurement

June Sallou, Luís Cruz, Thomas Durieux

In the continually evolving realm of software engineering, the need to address software energy consumption has gained increasing prominence. However, the absence of a platform-inde…