학술논문
Software Engineering for Machine-Learning Applications: The Road Ahead
Document Type
Periodical
Source
IEEE Software IEEE Softw. Software, IEEE. 35(5):81-84 Oct, 2018
Subject
Language
ISSN
0740-7459
1937-4194
1937-4194
Abstract
The First Symposium on Software Engineering for Machine Learning Applications (SEMLA) aimed to create a space in which machine learning (ML) and software engineering (SE) experts could come together to discuss challenges, new insights, and practical ideas regarding the engineering of ML and AI-based systems. Key challenges discussed included the accuracy of systems built using ML and AI models, the testing of those systems, industrial applications of AI, and the rift between the ML and SE communities. This article is part of a theme issue on software engineering’s 50th anniversary.