35 citations · 56 across the 11 of their papers we have counts for
5 papers · 1 filter
Green Runner: A tool for efficient model selection from model repositories
Jai Kannan, Scott Barnett, Anj Simmons +2
Deep learning models have become essential in software engineering, enabling intelligent features like image captioning and document generation. However, their popularity raises co…
Towards Understanding Machine Learning Testing in Practise
Arumoy Shome, Luis Cruz, Arie van Deursen
Visualisations drive all aspects of the Machine Learning (ML) Development Cycle but remain a vastly untapped resource by the research community. ML testing is a highly interactive…
MLSmellHound: A Context-Aware Code Analysis Tool
Jai Kannan, Scott Barnett, Luís Cruz +2
Meeting the rise of industry demand to incorporate machine learning (ML) components into software systems requires interdisciplinary teams contributing to a shared code base. To ma…
Code Smells for Machine Learning Applications
Haiyin Zhang, Luís Cruz, Arie van Deursen
The popularity of machine learning has wildly expanded in recent years. Machine learning techniques have been heatedly studied in academia and applied in the industry to create bus…
AI Lifecycle Models Need To Be Revised. An Exploratory Study in Fintech
Mark Haakman, Luís Cruz, Hennie Huijgens +1
Tech-leading organizations are embracing the forthcoming artificial intelligence revolution. Intelligent systems are replacing and cooperating with traditional software components.…