Cover Image

A Synthesis of Green Architectural Tactics for ML-Enabled Systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Järvenpää, Heli, Lago, Patricia, Bogner, Justus, Lewis, Grace, Muccini, Henry, Ozkaya, Ipek
Format:	Preprint
Published:	2023
Subjects:	Software Engineering Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

How to Sustainably Monitor ML-Enabled Systems? Accuracy and Energy Efficiency Tradeoffs in Concept Drift Detection
by: Omar, Rafiullah, et al.
Published: (2024)

The More the Merrier? Navigating Accuracy vs. Energy Efficiency Design Trade-Offs in Ensemble Learning Systems
by: Omar, Rafiullah, et al.
Published: (2024)

Using Quality Attribute Scenarios for ML Model Test Case Generation
by: Brower-Sinning, Rachel, et al.
Published: (2024)

How Do Model Export Formats Impact the Development of ML-Enabled Systems? A Case Study on Model Integration
by: Parida, Shreyas Kumar, et al.
Published: (2025)

Defining a Reference Architecture for Edge Systems in Highly-Uncertain Environments
by: Pitstick, Kevin, et al.
Published: (2024)

Analyzing the Evolution and Maintenance of ML Models on Hugging Face
by: Castaño, Joel, et al.
Published: (2023)

An Analysis of MLOps Architectures: A Systematic Mapping Study
by: Najafabadi, Faezeh Amou, et al.
Published: (2024)

Impact of ML Optimization Tactics on Greener Pre-Trained ML Models
by: Álvarez, Alexandra González, et al.
Published: (2024)

Expert-Driven Monitoring of Operational ML Models
by: Leest, Joran, et al.
Published: (2024)

On the Effectiveness of Microservices Tactics and Patterns to Reduce Energy Consumption: An Experimental Study on Trade-Offs
by: Xiao, Xingwen, et al.
Published: (2025)

Balancing Progress and Responsibility: A Synthesis of Sustainability Trade-Offs of AI-Based Systems
by: Kumar, Apoorva Nalini Pradeep, et al.
Published: (2024)

Identifying architectural design decisions for achieving green ML serving
by: Durán, Francisco, et al.
Published: (2024)

Do Developers Adopt Green Architectural Tactics for ML-Enabled Systems? A Mining Software Repository Study
by: De Martino, Vincenzo, et al.
Published: (2024)

DATCloud: A Model-Driven Framework for Multi-Layered Data-Intensive Architectures
by: Abughazala, Moamin, et al.
Published: (2025)

Can Requirements Engineering Support Explainable Artificial Intelligence? Towards a User-Centric Approach for Explainability Requirements
by: Umm-e-Habiba, et al.
Published: (2022)

Exploring CoCo Challenges in ML Engineering Teams: Insights From the Semiconductor Industry
by: Azamnouri, A., et al.
Published: (2026)

Green Architectural Tactics in ML-enabled Systems: An LLM-based Repository Mining Study
by: De Martino, Vincenzo, et al.
Published: (2026)

A Reference Architecture for Gamified Cultural Heritage Applications Leveraging Generative AI and Augmented Reality
by: Martusciello, Federico, et al.
Published: (2025)

To Type or Not to Type? A Systematic Comparison of the Software Quality of JavaScript and TypeScript Applications on GitHub
by: Bogner, Justus, et al.
Published: (2022)

A Case Study on AI Engineering Practices: Developing an Autonomous Stock Trading System
by: Grote, Marcel, et al.
Published: (2023)

On the Effectiveness of Proposed Techniques to Reduce Energy Consumption in RAG Systems: A Controlled Experiment
by: Guo, Zhinuan, et al.
Published: (2026)

A Large-Scale Study of Model Integration in ML-Enabled Software Systems
by: Sens, Yorick, et al.
Published: (2024)

Capturing Semantic Flow of ML-based Systems
by: Yoo, Shin, et al.
Published: (2025)

Notes On Writing Effective Empirical Software Engineering Papers: An Opinionated Primer
by: Verdecchia, Roberto, et al.
Published: (2025)

The Human Need for Storytelling: Reflections on Qualitative Software Engineering Research With a Focus Group of Experts
by: Verdecchia, Roberto, et al.
Published: (2025)

ACM SIGSOFT SEN Empirical Software Engineering: Introducing Our New Regular Column
by: Bogner, Justus, et al.
Published: (2025)

FairSense: Long-Term Fairness Analysis of ML-Enabled Systems
by: She, Yining, et al.
Published: (2025)

Towards an Architecture-centric Methodology for Migrating to Microservices
by: Fritzsch, Jonas, et al.
Published: (2022)

iML: Executable, Problem-Grounded, and Broadly Exploratory Code-Driven AutoML
by: Le, Dat, et al.
Published: (2026)

How Do Microservice API Patterns Impact Understandability? A Controlled Experiment
by: Bogner, Justus, et al.
Published: (2024)

Do RESTful API Design Rules Have an Impact on the Understandability of Web APIs? A Web-Based Experiment with API Descriptions
by: Bogner, Justus, et al.
Published: (2023)

Design Patterns for AI-based Systems: A Multivocal Literature Review and Pattern Repository
by: Heiland, Lukas, et al.
Published: (2023)

Beyond Self-Promotion: How Software Engineering Research Is Discussed on LinkedIn
by: Wyrich, Marvin, et al.
Published: (2024)

A Flexible Cell Classification for ML Projects in Jupyter Notebooks
by: Perez, Miguel, et al.
Published: (2024)

Real-Time Performance Benchmarking of TinyML Models in Embedded Systems (PICO: Performance of Inference, CPU, and Operations)
by: Dey, Abhishek, et al.
Published: (2025)

How Does Microservice Granularity Impact Energy Consumption and Performance? A Controlled Experiment
by: Zhao, Yiming, et al.
Published: (2025)

Green LLM Techniques in Action: How Effective Are Existing Techniques for Improving the Energy Efficiency of LLM-Based Applications in Industry?
by: Kuran, Pelin Rabia, et al.
Published: (2026)

Assessing the Use of AutoML for Data-Driven Software Engineering
by: Calefato, Fabio, et al.
Published: (2023)

Insights into resource utilization of code small language models serving with runtime engines and execution providers
by: Durán, Francisco, et al.
Published: (2024)

Injecting Sustainability in Software Architecture: A Rapid Review
by: Funke, Markus, et al.
Published: (2025)