An Empirical Study on ML DevOps Adoption Trends, Efforts, and Benefits Analysis (ESEIW 2023 - ESEM Journal-First Papers)

Who

Dhia Elhaq Rzig, Foyzul Hassan, Marouane Kessentini

Track

ESEIW 2023 ESEM Journal-First Papers

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When

Thu 26 Oct 2023 11:50 - 12:00 at Rhythms 3 - 1B - Machine learning in SE Chair(s): Davide Taibi

Dhia Elhaq Rzig

University of Michigan - Dearborn

United States

Foyzul Hassan

University of Michigan at Dearborn

United States

Marouane Kessentini

Oakland University

United States

Time Zone

The program is currently displayed in (GMT-05:00) Central Time (US & Canada).

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Session Program

Thu 26 Oct
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10:30 - 12:15	1B - Machine learning in SEESEM Technical Papers / ESEM Journal-First Papers / ESEM IGC at Rhythms 3 Chair(s): Davide Taibi University of Oulu

10:30 20m Full-paper		What is the Carbon Footprint of ML Models on Hugging Face? A Repository Mining Study ESEM Technical Papers Joel Castaño Fernández Universitat Politècnica de Catalunya (UPC), Silverio Martínez-Fernández UPC-BarcelonaTech, Xavier Franch Universitat Politècnica de Catalunya, Justus Bogner Vrije Universiteit Amsterdam Link to publication Pre-print
10:50 20m Full-paper		An Exploratory Literature Study on Sharing and Energy Use of Language Models for Source Code ESEM Technical Papers Max Hort Simula Research Laboratory, Anastasiia Grishina Simula Research Laboratory, Leon Moonen Simula Research Laboratory and BI Norwegian Business School Pre-print Media Attached
11:10 20m Full-paper		An Empirical Study on Low- and High-Level Explanations of Deep Learning Misbehaviours ESEM Technical Papers Tahereh Zohdinasab USI Lugano, Vincenzo Riccio University of Udine, Paolo Tonella USI Lugano
11:30 20m Full-paper		Assessing the Use of AutoML for Data-Driven Software Engineering ESEM Technical Papers Fabio Calefato University of Bari, Luigi Quaranta University of Bari, Italy, Filippo Lanubile University of Bari, Marcos Kalinowski Pontifical Catholic University of Rio de Janeiro (PUC-Rio) Pre-print
11:50 10m Journal Early-Feedback		An Empirical Study on ML DevOps Adoption Trends, Efforts, and Benefits Analysis ESEM Journal-First Papers Dhia Elhaq Rzig University of Michigan - Dearborn, Foyzul Hassan University of Michigan at Dearborn, Marouane Kessentini Oakland University
12:00 15m Industry talk		The Perspective of Software Professionals on Algorithmic Racism ESEM IGC Ronnie de Souza Santos University of Calgary, Luiz Fernando de Lima , Cleyton Vanut Cordeiro de Magalhães