Machine Learning

Example-Based Automatic Migration of Continuous Integration Systems
Continuous Integration (CI) is a widely adopted practice for faster code change integration and testing. Developers often migrate …
Dhia Elhaq Rzig, Alaa Houerbi, Chungha Sung, Foyzul Hassan
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Empirical Analysis on CI/CD Pipeline Evolution in Machine Learning Projects
The growing popularity of machine learning (ML) and the integration of ML components with other software artifacts has led to the use …
Alaa Houerbi, Dhia Elhaq Rzig, Rahul Ghanshyam Chavan, Foyzul Hassan
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Characterizing the usage of CI tools in ML projects
Background: Continuous Integration (CI) has become widely adopted to enable faster code change integration. Meanwhile, Machine Learning …
Dhia Elhaq Rzig, Foyzul Hassan, Chetan Bansal, Nachiappan Nagappan
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An Empirical Study on ML DevOps Adoption Trends, Efforts, and Benefits Analysis
Context: Machine Learning (ML), including Deep Learning(DL), based systems, have become ubiquitous in today’s solutions to many …
Dhia Elhaq Rzig, Foyzul Hassan, Marouane Kessentini
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