Scoping Software Engineering for AI: the TSE perspective
File(s)
Accepted version
Author(s)
Type
Journal Article
Abstract
Advances in Artificial Intelligence (AI), and in particular in Machine Learning (ML), are introducing profound changes to scholarly submissions across publication venues, affecting in particular the contributions that are being submitted to Software Engineering (SE) conferences and journals. In this context, it is not always clear whether manuscripts submitted to SE venues under the umbrella term SE for AI are indeed relevant to SE, in the sense that they explicitly contain contributions to the SE body of knowledge. This leads to recurring discussions on whether certain AI-related submissions are appropriate to SE venues, or should instead be submitted to other journals and conferences, including AI or ML-specific ones. In this editorial, we discuss the kinds of AI-related contributions that are a better fit-and a less good fit-for publication in the IEEE Transactions on Software Engineering.
Date Issued
2024-11-01
Date Acceptance
2024-11-01
Citation
IEEE Transactions on Software Engineering, 2024, 50 (11), pp.2709-2711
ISSN
0098-5589
Publisher
Institute of Electrical and Electronics Engineers
Start Page
2709
End Page
2711
Journal / Book Title
IEEE Transactions on Software Engineering
Volume
50
Issue
11
Copyright Statement
Copyright © 2024 IEEE. This is the author’s accepted manuscript made available under a CC-BY licence in accordance with Imperial’s Research Publications Open Access policy (www.imperial.ac.uk/oa-policy)
License URL
Subjects
Computer Science
Computer Science, Software Engineering
Engineering
Engineering, Electrical & Electronic
Science & Technology
Technology
Publication Status
Published
Date Publish Online
2024-11-13