How to Support ML End-User Programmers through a Conversational Agent

Machine Learning (ML) is increasingly gaining significance for enduser programmer (EUP) applications. However, machine learning end-user programmers (ML-EUPs) without the right background face a daunting learning curve and a heightened risk of mistakes and flaws in their models. In this work, we des...

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Vydané v:	Proceedings / International Conference on Software Engineering s. 629 - 640
Hlavní autori:	Garcia, Emily Arteaga, Pimentel, Joao Felipe, Feng, Zixuan, Gerosa, Marco, Steinmacher, Igor, Sarma, Anita
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	ACM 14.04.2024
Predmet:	Backtracking Codes Conversational Agent Design methodology End-user programming Machine learning Machine learning algorithms Reviews Task analysis Wizard of Oz
ISSN:	1558-1225
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