Scoping Software Engineering for AI: The TSE Perspective

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

Onderzoeksoutput: Bijdrage aan tijdschriftEditorialAcademicpeer review

Samenvatting

IEEE TSE would like to take a more nuanced approach with respect to reviewing these “SE for AI” papers. Specifically, we observe that submitted manuscripts frequently go into the depths of core AI techniques to improve them in various ways. The question that editors, reviewers, and authors themselves therefore often ask is whether some of the submitted manuscripts are a good fit for SE venues such as IEEE TSE, or would be a better fit for more AI- or ML-specialized venues instead.
Originele taal-2Engels
Artikelnummer10752650
Pagina's (van-tot)2709-2711
Aantal pagina's3
TijdschriftIEEE Transactions on Software Engineering
Volume50
Nummer van het tijdschrift11
DOI's
StatusGepubliceerd - nov. 2024

Vingerafdruk

Duik in de onderzoeksthema's van 'Scoping Software Engineering for AI: The TSE Perspective'. Samen vormen ze een unieke vingerafdruk.

Citeer dit