Agile4MLS-Leveraging Agile Practices for Developing Machine Learning-Enabled Systems An Industrial Experience

被引：3

作者：

Vaidhyanathan, Karthik ^{[1
,2
]}

Chandran, Anish ^{[3
]}

Muccini, Henry ^{[4
]}

Roy, Regi ^{[3
]}

机构：

[1] IIIT Hyderabad, Software Engn Res Ctr, Hyderabad 500032, India

[2] Univ Aquila, Laquila, Italy

[3] Founding Minds, Kochi, Kerala, India

[4] Univ Aquila, Software Engn, I-67100 Laquila, Italy

来源：

IEEE SOFTWARE | 2022年 / 39卷 / 06期

关键词：

15;

D O I：

10.1109/MS.2022.3195432

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Increased adoption of machine learning (ML) in business has led to a surge in ML-enabled systems in the market giving rise to new challenges. This article provides insights into Agile4MLS, highlighting the challenges we faced and the process we followed. © 2022 IEEE.

引用

页码：43 / 50

页数：8

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