Scoping software engineering for AI: The TSE perspective

Scoping software engineering for AI: The TSE perspective

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...

Full description

Saved in:
Bibliographic Details
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
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Singapore Management University
Language: English
Description
Summary: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) related to SE with and for AI. They are commonly referred to as AI for SE and SE for AI.

Similar Items