ESEIW 2022
Sun 18 - Fri 23 September 2022 Helsinki, Finland

The rapid and growing popularity of machine learning (ML) applications has led to an increasing interest in MLOps, that is, the practice of continuous integration and deployment (CI/CD) of ML-enabled systems. Since changes may affect not only the code but also the ML model parameters and the data themselves, the automation of traditional CI/CD needs to be extended to manage model retraining in production. In this paper, we present an initial investigation of the MLOps practices implemented in a set of ML-enabled systems retrieved from GitHub, focusing on GitHub Actions and CML, two solutions to automate the development workflow. Our preliminary results suggest that the adoption of MLOps workflows in open-source GitHub projects is currently rather limited. Issues are also identified, which can guide future research work.

Fri 23 Sep

Displayed time zone: Athens change

11:00 - 12:30
Session 4A - DevOps & Development ApproachesESEM Emerging Results and Vision Papers / ESEM Technical Papers at Bysa
Chair(s): Marcela Fabiana Genero Bocco University of Castilla-La Mancha
11:00
20m
Full-paper
Characterizing the Usage of CI Tools in ML Projects
ESEM Technical Papers
Dhia Elhaq Rzig University of Michigan - Dearborn, Foyzul Hassan University of Michigan - Dearborn, Chetan Bansal Microsoft Research, Nachiappan Nagappan Microsoft Research
11:20
20m
Full-paper
Investigating the Impact of Continuous Integration Practices on the Productivity and Quality of Open-Source Projects
ESEM Technical Papers
Jadson Santos Universidade Federal do Rio Grande do Norte, Daniel Alencar Da Costa University of Otago, Uirá Kulesza Federal University of Rio Grande do Norte
11:40
20m
Full-paper
Identifying Source Code File Experts
ESEM Technical Papers
Otávio Cury da Costa Castro Federal University of Piaui, Guilherme Amaral Avelino Federal University of Piaui, Pedro A. Santos Neto LOST/UFPI, Ricardo Britto Ericsson / Blekinge Institute of Technology, Marco Tulio Valente Federal University of Minas Gerais, Brazil
Pre-print
12:00
15m
Vision and Emerging Results
DevOps Practitioners’ Perceptions of the Low-code Trend
ESEM Emerging Results and Vision Papers
Saima Rafi University of Murcia, Muhammad Azeem Akbar LUT University, Mary Sánchez-Gordón Østfold University College, Ricardo Colomo-Palacios Østfold University College
12:15
15m
Vision and Emerging Results
A Preliminary Investigation of MLOps Practices in GitHub
ESEM Emerging Results and Vision Papers
Fabio Calefato University of Bari, Filippo Lanubile University of Bari, Luigi Quaranta University of Bari, Italy