Title
Non-functional Requirements for Machine Learning: Understanding Current Use and Challenges in Industry
Abstract
Machine Learning (ML) is an application of Artificial Intelligence (AI) that uses big data to produce complex predictions and decision-making systems, which would be challenging to obtain otherwise. To ensure the success of ML-enabled systems, it is essential to be aware of certain qualities of ML solutions (performance, transparency, fairness), known from a Requirement Engineering (RE) perspectiv...
Year
DOI
Venue
2021
10.1109/RE51729.2021.00009
2021 IEEE 29th International Requirements Engineering Conference (RE)
Keywords
DocType
ISSN
Non-Functional Requirements,NFRs,qualities,Machine Learning,NFR Challenges,Requirements Engineering
Conference
2332-6441
ISBN
Citations 
PageRank 
978-1-6654-2856-9
2
0.49
References 
Authors
0
2
Name
Order
Citations
PageRank
Khan Mohammad Habibullah120.49
Jennifer Horkoff288869.90