Luis Cruz

According to our database, Luis Cruz authored at least 54 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Understanding Feedback Mechanisms in Machine Learning Jupyter Notebooks.

Arumoy Shome, Luis Cruz, Diomidis Spinellis, Arie van Deursen

CoRR, 2024

Innovating for Tomorrow: The Convergence of SE and Green AI.

Luís Cruz, Xavier Franch Gutierrez, Silverio Martínez-Fernández

CoRR, 2024

McUDI: Model-Centric Unsupervised Degradation Indicator for Failure Prediction AIOps Solutions.

Lorena Poenaru-Olaru, Luis Cruz, Jan S. Rellermeyer, Arie van Deursen

CoRR, 2024

Towards Automatic Translation of Machine Learning Visual Insights to Analytical Assertions.

Arumoy Shome, Luis Cruz, Arie van Deursen

Proceedings of the Third ACM/IEEE International Workshop on NL-based Software Engineering, 2024

On the Difficulty of Identifying Incident-Inducing Changes.

Eileen Kapel, Luis Cruz, Diomidis Spinellis, Arie van Deursen

Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Practice, 2024

Energy Patterns for Web: An Exploratory Study.

Pooja Rani, Jonas Zellweger, Veronika Kousadianos, Luis Cruz, Timo Kehrer, Alberto Bacchelli

Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Society, 2024

Data vs. Model Machine Learning Fairness Testing: An Empirical Study.

Arumoy Shome, Luis Cruz, Arie van Deursen

Proceedings of the 5th IEEE/ACM International Workshop on Deep Learning for Testing and Testing for Deep Learning, 2024

Enhancing Incident Management: Insights from a Case Study at ING.

Eileen Kapel, Luis Cruz, Diomidis Spinellis, Arie van Deursen

Proceedings of the 1st IEEE/ACM Workshop on Software Engineering Challenges in Financial Firms, 2024

Is Your Anomaly Detector Ready for Change? Adapting AIOps Solutions to the Real World.

Lorena Poenaru-Olaru, Natalia Karpova, Luis Cruz, Jan S. Rellermeyer, Arie van Deursen

Proceedings of the IEEE/ACM 3rd International Conference on AI Engineering, 2024

Green Runner: A Tool for Efficient Deep Learning Component Selection.

Jai Kannan, Scott Barnett, Anj Simmons, Taylan Selvi, Luis Cruz

Proceedings of the IEEE/ACM 3rd International Conference on AI Engineering, 2024

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

Nienke Nijkamp, June Sallou, Niels van der Heijden, Luís Cruz

Proceedings of the 1st ACM International Conference on AI-Powered Software, 2024

2023

Material of the paper entitled "Uncovering Energy-Efficient Practices in Deep Learning Training: Preliminary Steps Towards Green AI".

Tim Yarally, Luís Cruz, Daniel Feitosa, June Sallou, Arie van Deursen

Dataset, March, 2023

A systematic review of Green AI.

Roberto Verdecchia, June Sallou, Luis Cruz

WIREs Data. Mining. Knowl. Discov., 2023

EnergiBridge: Empowering Software Sustainability through Cross-Platform Energy Measurement.

June Sallou, Luis Cruz, Thomas Durieux

CoRR, 2023

Maintenance Techniques for Anomaly Detection AIOps Solutions.

Lorena Poenaru-Olaru, Natalia Karpova, Luis Cruz, Jan S. Rellermeyer, Arie van Deursen

CoRR, 2023

Green Runner: A tool for efficient model selection from model repositories.

Jai Kannan, Scott Barnett, Anj Simmons, Taylan Selvi, Luis Cruz

CoRR, 2023

Retrain AI Systems Responsibly! Use Sustainable Concept Drift Adaptation Techniques.

Lorena Poenaru-Olaru, June Sallou, Luis Cruz, Jan S. Rellermeyer, Arie van Deursen

Proceedings of the 7th IEEE/ACM International Workshop on Green And Sustainable Software, 2023

Batching for Green AI - An Exploratory Study on Inference.

Tim Yarally, Luís Cruz, Daniel Feitosa, June Sallou, Arie van Deursen

Proceedings of the 49th Euromicro Conference on Software Engineering and Advanced Applications, 2023

The Two Faces of AI in Green Mobile Computing: A Literature Review.

Wander Siemers, June Sallou, Luís Cruz

Proceedings of the 49th Euromicro Conference on Software Engineering and Advanced Applications, 2023

Do DL models and training environments have an impact on energy consumption?

Santiago del Rey, Silverio Martínez-Fernández, Luís Cruz, Xavier Franch

Proceedings of the 49th Euromicro Conference on Software Engineering and Advanced Applications, 2023

Uncovering Energy-Efficient Practices in Deep Learning Training: Preliminary Steps Towards Green AI.

Tim Yarally, Luis Cruz, Daniel Feitosa, June Sallou, Arie van Deursen

Proceedings of the 2nd IEEE/ACM International Conference on AI Engineering, 2023

Towards Understanding Machine Learning Testing in Practise.

Arumoy Shome, Luís Cruz, Arie van Deursen

Proceedings of the 2nd IEEE/ACM International Conference on AI Engineering, 2023

Maintaining and Monitoring AIOps Models Against Concept Drift.

Lorena Poenaru-Olaru, Luis Cruz, Jan S. Rellermeyer, Arie van Deursen

Proceedings of the 2nd IEEE/ACM International Conference on AI Engineering, 2023

2022

On the Energy Footprint of Mobile Testing Frameworks.

Luis Cruz, Rui Abreu

Dataset, May, 2022

Removing dependencies from large software projects: are you really sure?

Ching-Chi Chuang, Luís Cruz, Robbert van Dalen, Vladimir Mikovski, Arie van Deursen

Proceedings of the 22nd IEEE International Working Conference on Source Code Analysis and Manipulation, 2022

Data-Centric Green AI An Exploratory Empirical Study.

Roberto Verdecchia, Luís Cruz, June Sallou, Michelle Lin, James Wickenden, Estelle Hotellier

Proceedings of the International Conference on ICT for Sustainability, 2022

"Project smells" - Experiences in Analysing the Software Quality of ML Projects with mllint.

Bart van Oort, Luis Cruz, Babak Loni, Arie van Deursen

Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2022

MLSmellHound: A Context-Aware Code Analysis Tool.

Jai Kannan, Scott Barnett, Luis Cruz, Anj Simmons, Akash Agarwal

Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: New Ideas and Emerging Results ICSE (NIER) 2022, 2022

Code smells for machine learning applications.

Haiyin Zhang, Luís Cruz, Arie van Deursen

Proceedings of the 1st International Conference on AI Engineering: Software Engineering for AI, 2022

Data smells in public datasets.

Arumoy Shome, Luís Cruz, Arie van Deursen

Proceedings of the 1st International Conference on AI Engineering: Software Engineering for AI, 2022

Are Concept Drift Detectors Reliable Alarming Systems? - A Comparative Study.

Lorena Poenaru-Olaru, Luis Cruz, Arie van Deursen, Jan S. Rellermeyer

Proceedings of the IEEE International Conference on Big Data, 2022

2021

On the Energy Footprint of Mobile Testing Frameworks.

Luis Cruz, Rui Abreu

IEEE Trans. Software Eng., 2021

Fixing vulnerabilities potentially hinders maintainability.

Sofia Reis, Rui Abreu, Luis Cruz

Empir. Softw. Eng., 2021

AI lifecycle models need to be revised.

Mark Haakman, Luis Cruz, Hennie Huijgens, Arie van Deursen

Empir. Softw. Eng., 2021

Green Software Lab: Towards an Engineering Discipline for Green Software.

Rui Abreu, Marco Couto, Luís Cruz, Jácome Cunha, João Paulo Fernandes, Rui Pereira, Alexandre Perez, João Saraiva

CoRR, 2021

Systematic Mapping Study on the Machine Learning Lifecycle.

Yuanhao Xie, Luis Cruz, Petra Heck, Jan S. Rellermeyer

Proceedings of the 1st IEEE/ACM Workshop on AI Engineering - Software Engineering for AI, 2021

The Prevalence of Code Smells in Machine Learning projects.

Bart van Oort, Luis Cruz, Maurício Aniche, Arie van Deursen

Proceedings of the 1st IEEE/ACM Workshop on AI Engineering - Software Engineering for AI, 2021

Patterns and Energy Consumption: Design, Implementation, Studies, and Stories.

Daniel Feitosa, Luís Cruz, Rui Abreu, João Paulo Fernandes, Marco Couto, João Saraiva

Proceedings of the Software Sustainability, 2021

2020

AI Lifecycle Models Need To Be Revised. An Exploratory Study in Fintech.

Mark Haakman, Luis Cruz, Hennie Huijgens, Arie van Deursen

CoRR, 2020

2019

Tools and Techniques for Energy-Efficient Mobile Application Development

Luis Cruz

PhD thesis, 2019

Improving Energy Efficiency Through Automatic Refactoring.

Luis Cruz, Rui Abreu

J. Softw. Eng. Res. Dev., 2019

To the attention of mobile software developers: guess what, test your app!

Luis Cruz, Rui Abreu, David Lo

Empir. Softw. Eng., 2019

Catalog of energy patterns for mobile applications.

Luis Cruz, Rui Abreu

Empir. Softw. Eng., 2019

An Analysis of 35+ Million Jobs of Travis CI.

Thomas Durieux, Rui Abreu, Martin Monperrus, Tegawendé F. Bissyandé, Luis Cruz

Proceedings of the 2019 IEEE International Conference on Software Maintenance and Evolution, 2019

Do Energy-Oriented Changes Hinder Maintainability?

Luis Cruz, Rui Abreu, John C. Grundy, Li Li, Xin Xia

Proceedings of the 2019 IEEE International Conference on Software Maintenance and Evolution, 2019

EMaaS: energy measurements as a service for mobile applications.

Luis Cruz, Rui Abreu

Proceedings of the 41st International Conference on Software Engineering: New Ideas and Emerging Results, 2019

Segmenting User Sessions in Search Engine Query Logs Leveraging Word Embeddings.

Pedro Gomes, Bruno Martins, Luís Cruz

Proceedings of the Digital Libraries for Open Knowledge, 2019

2018

Measuring the energy footprint of mobile testing frameworks.

Luis Cruz, Rui Abreu

Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, 2018

Using Automatic Refactoring to Improve Energy Efficiency of Android Apps.

Luis Cruz, Rui Abreu

Proceedings of the XXI Iberoamerican Conference on Software Engineering, 2018

2017

Leafactor: Improving Energy Efficiency of Android Apps via Automatic Refactoring.

Luis Cruz, Rui Abreu, Jean-Noel Rouvignac

Proceedings of the 4th IEEE/ACM International Conference on Mobile Software Engineering and Systems, 2017

Performance-Based Guidelines for Energy Efficient Mobile Applications.

Luis Cruz, Rui Abreu

Proceedings of the 4th IEEE/ACM International Conference on Mobile Software Engineering and Systems, 2017

2015

A wearable and mobile intervention delivery system for individuals with panic disorder.

Luis Cruz, Jonathan Rubin, Rui Abreu, Shane Ahern, Hoda Eldardiry, Daniel G. Bobrow

Proceedings of the 14th International Conference on Mobile and Ubiquitous Multimedia, Linz, Austria, November 30, 2015

A Comparative Study of Regression and Classification Algorithms for Modelling Students' Academic Performance.

Pedro Strecht, Luis Cruz, Carlos Soares, João Mendes-Moreira, Rui Abreu

Proceedings of the 8th International Conference on Educational Data Mining, 2015

2012

Optimization Approach for the Development of Humanoid Robots' Behaviors.

Luis Cruz, Luís Paulo Reis, Nuno Lau, Armando Sousa

Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2012, 2012