Science and Technology Production
Scoping Software Engineering for AI: The TSE Perspective
Articulo
Authorship:
Uchitel, Sebastian ; Chechik, Marsha ; Penta, Massimiliano Di ; Adams, Bram ; AGUIRRE, NAZARENO MATIAS ; 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, HaoDate:
2024Publishing House and Editing Place:
IEEE COMPUTER SOCMagazine:
IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, vol. 50 (pp. 2709-2711) IEEE COMPUTER SOCSummary *
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. Information provided by the agent in SIGEVAKey Words
Machine Learning ResearchSoftware Engineering Research