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Naming the Pain in Machine Learning-Enabled Systems Engineering

Naming the Pain in Machine Learning-Enabled Systems Engineering

20 May 2024
Marcos Kalinowski
Daniel Méndez
G. Giray
Antonio Pedro Santos Alves
Kelly Azevedo
Tatiana Escovedo
Hugo Villamizar
Hélio Lopes
M. T. Baldassarre
Stefan Wagner
Stefan Biffl
Jürgen Musil
Michael Felderer
N. Lavesson
T. Gorschek
ArXiv (abs)PDFHTML

Papers citing "Naming the Pain in Machine Learning-Enabled Systems Engineering"

5 / 5 papers shown
Title
A Meta-Summary of Challenges in Building Products with ML Components --
  Collecting Experiences from 4758+ Practitioners
A Meta-Summary of Challenges in Building Products with ML Components -- Collecting Experiences from 4758+ Practitioners
Nadia Nahar
Haoran Zhang
Grace A. Lewis
Shurui Zhou
Christian Kastner
94
38
0
31 Mar 2023
A Software Engineering Perspective on Engineering Machine Learning
  Systems: State of the Art and Challenges
A Software Engineering Perspective on Engineering Machine Learning Systems: State of the Art and Challenges
G. Giray
65
129
0
14 Dec 2020
Challenges in Deploying Machine Learning: a Survey of Case Studies
Challenges in Deploying Machine Learning: a Survey of Case Studies
Andrei Paleyes
Raoul-Gabriel Urma
Neil D. Lawrence
64
403
0
18 Nov 2020
Requirements Engineering for Machine Learning: Perspectives from Data
  Scientists
Requirements Engineering for Machine Learning: Perspectives from Data Scientists
Andreas Vogelsang
Markus Borg
56
163
0
13 Aug 2019
Software Engineering Challenges of Deep Learning
Software Engineering Challenges of Deep Learning
Anders Arpteg
B. Brinne
L. Crnkovic-Friis
J. Bosch
81
175
0
29 Oct 2018
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