Systematic literature review of validation methods for AI systems-Reference-Cited by-同舟云学术

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Systematic literature review of validation methods for AI systems

Published:2021-11 Issue: Volume:181 Page:111050
ISSN:0164-1212
Container-title:Journal of Systems and Software
language:en
Short-container-title:Journal of Systems and Software

Author:

Myllyaho Lalli^ORCID,Raatikainen Mikko^ORCID,Männistö Tomi^ORCID,Mikkonen Tommi^ORCID,Nurminen Jukka K.^ORCID

Funder

Business Finland

ITEA 3

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Software

Reference26 articles.

1. Requirements engineering for software product lines: A systematic literature review;Alves;Inf. Softw. Technol.,2010

2. Guide To the Software Engineering Body of Knowledge (SWEBOK (R)): Version 3.0;Bourque,2014

3. The ML test score: A rubric for ML production readiness and technical debt reduction;Breck,2017

4. Dronology: An incubator for cyber-physical systems research;Cleland-Huang,2018

5. What is AI software testing? and why;Gao,2019

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1. Artificial intelligence for literature reviews: opportunities and challenges;Artificial Intelligence Review;2024-08-17

2. Artificial intelligence for sustainability: opportunities and risks of utilizing Earth observation technologies to protect forests;Discover Conservation;2024-07-23

3. Validation Framework of a Digital Twin: A System Identification Approach;INCOSE International Symposium;2024-07

4. Biosecurity Risk Assessment for the Use of Artificial Intelligence in Synthetic Biology;Applied Biosafety;2024-06-01

5. Are AI's being approached or avoided?;Proceedings of the 2024 Computers and People Research Conference;2024-05-29

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