Artículo

Scoping Software Engineering for AI: The TSE Perspective

Uchitel, Sebastian Icon; Chechik, Marsha ; Di Penta, Massimiliano ; Adams, Bram ; Aguirre, Nazareno Matias Icon; Bavota, Gabriele ; Bianculli, Domenico ; Blincoe, Kelly ; Cavalcanti, Ana ; Dittrich, Yvonne ; Ferrucci, Filomena ; Hoda, Rashina ; Huang, LiGuo ; Lo, David ; Lyu, Michael R. ; Ma, Lei ; Maletic, Jonathan I. ; Mariani, Leonardo ; McMillan, Collin ; Menzies, Tim ; Monperrus, Martin ; Moreno, Ana ; Nagappan, Nachiappan ; Pasquale, Liliana ; Pelliccione, Patrizio ; Pradel, Michael ; Purandare, Rahul ; Ryu, Sukyoung ; Sabetzadeh, Mehrdad ; Serebrenik, Alexander ; Sun, Jun ; Tantithamthavorn, Kla ; Treude, Christoph ; Wimmer, Manuel ; Xiong, Yingfei ; Yue, Tao ; Zaidman, Andy ; Zhang, Tao ; Zhong, Hao

Otros responsables

Fecha

11/2024

Editorial

IEEE Computer Society

Revista

IEEE Transactions On Software Engineering

Título del libro

Nombre del evento

Fecha del evento

Institución organizadora

ISSN

0098-5589

eISSN

2326-3881

ISBN

Idioma

Inglés

Tipo del evento

Clasificación temática

Resumen

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 extit{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.

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