Luis Cruz

75 papers A* 1A 3B 7Journal 42Unranked 21
YearRankTypeTitle / Venue / Authors
2026 J jnl
Green Clean Software Sustainability.
IEEE Softw.
Luis Cruz, Patricia Lago, Henry Muccini, Eoin Woods
2025 — conf
EDATA: Energy Debugging And Testing for Android.
MOBILESoft@ICSE
Erik Blokland, Luis Cruz, Arie van Deursen
2025 — conf
Energy Aware Development of Neuromorphic Implantables: From Metrics to Action.
ICT4S
Enrique Barba Roque, Luis Cruz
2025 J jnl
Evaluating Privacy-Utility Tradeoffs in Synthetic Smart Grid Data.
CoRR
Andre Catarino, Rui Melo, Rui Abreu, Luis Cruz
2025 J jnl
Framework Matters: Energy Efficiency of UI Automation Testing Frameworks.
CoRR
Timmie Lagermann, Kristina Carter, Su Mei Gwen Ho, Luis Cruz, Kerstin Eder, Maja H. Kirkeby
2025 J jnl
Greening AI-enabled Systems with Software Engineering: A Research Agenda for Environmentally Sustainable AI Practices.
CoRR
Luis Cruz, João Paulo Fernandes, Maja H. Kirkeby, Silverio Martínez-Fernández, June Sallou, Hina Anwar, Enrique Barba Roque, Justus Bogner, Joel Castaño, Fernando Castor, Aadil Chasmawala, Simão Cunha, Daniel Feitosa, Alexandra González, Andreas Jedlitschka, Patricia Lago, Henry Muccini, Ana Oprescu, Pooja Rani, João Saraiva, Federica Sarro, Raghavendra Selvan, Karthik Vaidhyanathan, Roberto Verdecchia, Ivan P. Yamshchikov
2025 — conf
Improving the Reliability of Failure Prediction Models through Concept Drift Monitoring.
DeepTest
Lorena Poenaru-Olaru, Luis Cruz, Jan S. Rellermeyer, Arie van Deursen
2025 J jnl
Innovating for Tomorrow: The Convergence of Software Engineering and Green AI.
ACM Trans. Softw. Eng. Methodol.
Luis Cruz, Xavier Franch, Silverio Martínez-Fernández
2025 A conf
Prepared for the Unknown: Adapting AIOps Capacity Forecasting Models to Data Changes.
ISSRE
Lorena Poenaru-Olaru, Wouter van 't Hof, Adrian Stando, Arkadiusz P. Trawinski, Eileen Kapel, Jan S. Rellermeyer, Luis Cruz, Arie van Deursen
2025 J jnl
Prepared for the Unknown: Adapting AIOps Capacity Forecasting Models to Data Changes.
CoRR
Lorena Poenaru-Olaru, Wouter van 't Hof, Adrian Stando, Arkadiusz P. Trawinski, Eileen Kapel, Jan S. Rellermeyer, Luis Cruz, Arie van Deursen
2025 — conf
Sustainable Machine Learning Retraining: Optimizing Energy Efficiency Without Compromising Accuracy.
ICT4S
Lorena Poenaru-Olaru, June Sallou, Luis Cruz, Jan S. Rellermeyer, Arie van Deursen
2025 J jnl
Sustainable Machine Learning Retraining: Optimizing Energy Efficiency Without Compromising Accuracy.
CoRR
Lorena Poenaru-Olaru, June Sallou, Luis Cruz, Jan S. Rellermeyer, Arie van Deursen
2025 — conf
Toward Understanding and Detecting Battery Saver Issues in Android Apps.
MOBILESoft@ICSE
Wander Siemers, Luis Cruz, Mattia Fazzini
2025 A* conf
Unveiling the Energy Vampires: A Methodology for Debugging Software Energy Consumption.
ICSE
Enrique Barba Roque, Luis Cruz, Thomas Durieux
2024 — conf
Data vs. Model Machine Learning Fairness Testing: An Empirical Study.
DeepTest@ICSE
Arumoy Shome, Luis Cruz, Arie van Deursen
2024 J jnl
Data vs. Model Machine Learning Fairness Testing: An Empirical Study.
CoRR
Arumoy Shome, Luis Cruz, Arie van Deursen
2024 — conf
Energy Patterns for Web: An Exploratory Study.
ICSE (SEIS)
Pooja Rani, Jonas Zellweger, Veronika Kousadianos, Luis Cruz, Timo Kehrer, Alberto Bacchelli
2024 J jnl
Energy Patterns for Web: An Exploratory Study.
CoRR
Pooja Rani, Jonas Zellweger, Veronika Kousadianos, Luis Cruz, Timo Kehrer, Alberto Bacchelli
2024 — conf
Enhancing Incident Management: Insights from a Case Study at ING.
FinanSE@ICSE
Eileen Kapel, Luis Cruz, Diomidis Spinellis, Arie van Deursen
2024 J jnl
Green AI in Action: Strategic Model Selection for Ensembles in Production.
CoRR
Nienke Nijkamp, June Sallou, Niels van der Heijden, Luis Cruz
2024 B conf
Green Runner: A Tool for Efficient Deep Learning Component Selection.
CAIN
Jai Kannan, Scott Barnett, Anj Simmons, Taylan Selvi, Luis Cruz
2024 B conf
Is Your Anomaly Detector Ready for Change? Adapting AIOps Solutions to the Real World.
CAIN
Lorena Poenaru-Olaru, Natalia Karpova, Luis Cruz, Jan S. Rellermeyer, Arie van Deursen
2024 J jnl
McUDI: Model-Centric Unsupervised Degradation Indicator for Failure Prediction AIOps Solutions.
CoRR
Lorena Poenaru-Olaru, Luis Cruz, Jan S. Rellermeyer, Arie van Deursen
2024 — conf
On the Difficulty of Identifying Incident-Inducing Changes.
ICSE-SEIP
Eileen Kapel, Luis Cruz, Diomidis Spinellis, Arie van Deursen
2024 — conf
Towards Automatic Translation of Machine Learning Visual Insights to Analytical Assertions.
NLBSE@ICSE
Arumoy Shome, Luis Cruz, Arie van Deursen
2024 J jnl
Towards Automatic Translation of Machine Learning Visual Insights to Analytical Assertions.
CoRR
Arumoy Shome, Luis Cruz, Arie van Deursen
2024 J jnl
Understanding Feedback Mechanisms in Machine Learning Jupyter Notebooks.
CoRR
Arumoy Shome, Luis Cruz, Diomidis Spinellis, Arie van Deursen
2024 J jnl
Unveiling the Energy Vampires: A Methodology for Debugging Software Energy Consumption.
CoRR
Enrique Barba Roque, Luis Cruz, Thomas Durieux
2023 J jnl
A Systematic Review of Green AI.
CoRR
Roberto Verdecchia, June Sallou, Luis Cruz
2023 J jnl
A systematic review of Green AI.
WIREs Data. Mining. Knowl. Discov.
Roberto Verdecchia, June Sallou, Luis Cruz
2023 J jnl
Batching for Green AI - An Exploratory Study on Inference.
CoRR
Tim Yarally, Luis Cruz, Daniel Feitosa, June Sallou, Arie van Deursen
2023 J jnl
EnergiBridge: Empowering Software Sustainability through Cross-Platform Energy Measurement.
CoRR
June Sallou, Luis Cruz, Thomas Durieux
2023 J jnl
Green Runner: A tool for efficient model selection from model repositories.
CoRR
Jai Kannan, Scott Barnett, Anj Simmons, Taylan Selvi, Luis Cruz
2023 B conf
Maintaining and Monitoring AIOps Models Against Concept Drift.
CAIN
Lorena Poenaru-Olaru, Luis Cruz, Jan S. Rellermeyer, Arie van Deursen
2023 J jnl
Maintenance Techniques for Anomaly Detection AIOps Solutions.
CoRR
Lorena Poenaru-Olaru, Natalia Karpova, Luis Cruz, Jan S. Rellermeyer, Arie van Deursen
2023 — conf
Retrain AI Systems Responsibly! Use Sustainable Concept Drift Adaptation Techniques.
GREENS@ICSE
Lorena Poenaru-Olaru, June Sallou, Luis Cruz, Jan S. Rellermeyer, Arie van Deursen
2023 J jnl
The Two Faces of AI in Green Mobile Computing: A Literature Review.
CoRR
Wander Siemers, June Sallou, Luis Cruz
2023 J jnl
Towards Understanding Machine Learning Testing in Practise.
CoRR
Arumoy Shome, Luis Cruz, Arie van Deursen
2023 B conf
Uncovering Energy-Efficient Practices in Deep Learning Training: Preliminary Steps Towards Green AI.
CAIN
Tim Yarally, Luis Cruz, Daniel Feitosa, June Sallou, Arie van Deursen
2022 — conf
"Project smells" - Experiences in Analysing the Software Quality of ML Projects with mllint.
ICSE (SEIP)
Bart van Oort, Luis Cruz, Babak Loni, Arie van Deursen
2022 J jnl
"Project smells" - Experiences in Analysing the Software Quality of ML Projects with mllint.
CoRR
Bart van Oort, Luis Cruz, Babak Loni, Arie van Deursen
2022 B conf
Are Concept Drift Detectors Reliable Alarming Systems? - A Comparative Study.
IEEE Big Data
Lorena Poenaru-Olaru, Luis Cruz, Arie van Deursen, Jan S. Rellermeyer
2022 J jnl
Are Concept Drift Detectors Reliable Alarming Systems? - A Comparative Study.
CoRR
Lorena Poenaru-Olaru, Luis Cruz, Arie van Deursen, Jan S. Rellermeyer
2022 J jnl
Code Smells for Machine Learning Applications.
CoRR
Haiyin Zhang, Luis Cruz, Arie van Deursen
2022 J jnl
Data Smells in Public Datasets.
CoRR
Arumoy Shome, Luis Cruz, Arie van Deursen
2022 — conf
MLSmellHound: A Context-Aware Code Analysis Tool.
ICSE (NIER)
Jai Kannan, Scott Barnett, Luis Cruz, Anj Simmons, Akash Agarwal
2021 J jnl
AI lifecycle models need to be revised.
Empir. Softw. Eng.
Mark Haakman, Luis Cruz, Hennie Huijgens, Arie van Deursen
2021 J jnl
Fixing Vulnerabilities Potentially Hinders Maintainability.
CoRR
Sofia Reis, Rui Abreu, Luis Cruz
2021 J jnl
Fixing vulnerabilities potentially hinders maintainability.
Empir. Softw. Eng.
Sofia Reis, Rui Abreu, Luis Cruz
2021 J jnl
On the Energy Footprint of Mobile Testing Frameworks.
IEEE Trans. Software Eng.
Luis Cruz, Rui Abreu
2021 — conf
Systematic Mapping Study on the Machine Learning Lifecycle.
WAIN@ICSE
Yuanhao Xie, Luis Cruz, Petra Heck, Jan S. Rellermeyer
2021 J jnl
Systematic Mapping Study on the Machine Learning Lifecycle.
CoRR
Yuanhao Xie, Luis Cruz, Petra Heck, Jan S. Rellermeyer
2021 — conf
The Prevalence of Code Smells in Machine Learning projects.
WAIN@ICSE
Bart van Oort, Luis Cruz, Maurício Aniche, Arie van Deursen
2021 J jnl
The Prevalence of Code Smells in Machine Learning projects.
CoRR
Bart van Oort, Luis Cruz, Maurício Finavaro Aniche, Arie van Deursen
2020 J jnl
AI Lifecycle Models Need To Be Revised. An Exploratory Study in Fintech.
CoRR
Mark Haakman, Luis Cruz, Hennie Huijgens, Arie van Deursen
2019 A conf
An Analysis of 35+ Million Jobs of Travis CI.
ICSME
Thomas Durieux, Rui Abreu, Martin Monperrus, Tegawendé F. Bissyandé, Luis Cruz
2019 J jnl
Catalog of Energy Patterns for Mobile Applications.
CoRR
Luis Cruz, Rui Abreu
2019 J jnl
Catalog of energy patterns for mobile applications.
Empir. Softw. Eng.
Luis Cruz, Rui Abreu
2019 A conf
Do Energy-Oriented Changes Hinder Maintainability?
ICSME
Luis Cruz, Rui Abreu, John C. Grundy, Li Li, Xin Xia
2019 J jnl
Do Energy-oriented Changes Hinder Maintainability?
CoRR
Luis Cruz, Rui Abreu, John C. Grundy, Li Li, Xin Xia
2019 J jnl
EMaaS: Energy Measurements as a Service for Mobile Applications.
CoRR
Luis Cruz, Rui Abreu
2019 — conf
EMaaS: energy measurements as a service for mobile applications.
ICSE (NIER)
Luis Cruz, Rui Abreu
2019 J jnl
Improving Energy Efficiency Through Automatic Refactoring.
J. Softw. Eng. Res. Dev.
Luis Cruz, Rui Abreu
2019 J jnl
On the Energy Footprint of Mobile Testing Frameworks.
CoRR
Luis Cruz, Rui Abreu
2019 J jnl
To the Attention of Mobile Software Developers: Guess What, Test your App!
CoRR
Luis Cruz, Rui Abreu, David Lo
2019 J jnl
To the attention of mobile software developers: guess what, test your app!
Empir. Softw. Eng.
Luis Cruz, Rui Abreu, David Lo
2019 — —
Tools and Techniques for Energy-Efficient Mobile Application Development
Luis Cruz
2018 — conf
Measuring the energy footprint of mobile testing frameworks.
ICSE (Companion Volume)
Luis Cruz, Rui Abreu
2018 — conf
Using Automatic Refactoring to Improve Energy Efficiency of Android Apps.
CIbSE
Luis Cruz, Rui Abreu
2018 J jnl
Using Automatic Refactoring to Improve Energy Efficiency of Android Apps.
CoRR
Luis Cruz, Rui Abreu
2017 — conf
Leafactor: Improving Energy Efficiency of Android Apps via Automatic Refactoring.
MOBILESoft@ICSE
Luis Cruz, Rui Abreu, Jean-Noel Rouvignac
2017 — conf
Performance-Based Guidelines for Energy Efficient Mobile Applications.
MOBILESoft@ICSE
Luis Cruz, Rui Abreu
2015 B conf
A Comparative Study of Regression and Classification Algorithms for Modelling Students' Academic Performance.
EDM
Pedro Strecht, Luis Cruz, Carlos Soares, João Mendes-Moreira, Rui Abreu
2015 B conf
A wearable and mobile intervention delivery system for individuals with panic disorder.
MUM
Luis Cruz, Jonathan Rubin, Rui Abreu, Shane Ahern, Hoda Eldardiry, Daniel G. Bobrow
2012 — conf
Optimization Approach for the Development of Humanoid Robots' Behaviors.
IBERAMIA
Luis Cruz, Luís Paulo Reis, Nuno Lau, Armando Sousa