Scoping software engineering for AI: The TSE perspective

• Main Authors: UCHITEL, Sebastián, CHECHIK, Marsha, DI PENTA, Massimiliano, ADAMS, Bram, AGUIRRE, Nazareno, BAVOTA, Gabriele, BIANCULLI, Domenico, BLINCOE, Kelly, CAVALCANTI, Ana, DITTRICH, Yvonne, FERRUCCI, Filomena, HODA, Rashina, HUANG, LiGuo, David LO, et al.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Scoping; Software Technology; Machine Learning Models; Artificial Intelligence Techniques; Model Checking; Complex Software; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/9884; https://ink.library.smu.edu.sg/context/sis_research/article/10884/viewcontent/Scoping_Software_Engineering_for_AI_The_TSE_Perspective.pdf
• Institution: Singapore Management University

In recent years, important advances in Artificial Intelligence (AI), and, in particular, in Machine Learning (ML), including Deep Learning (DL) and Large Language Models (LLMs), have caused a substantial increase of submissions to all Software Engineering (SE) venues (conferences and journals) relat...