Deriving and evaluating a fault model for testing data science applications
Author:
Affiliation:
1. Quest Lab, Department of Computer Science National University of Computer and Emerging Sciences Islamabad Pakistan
2. UAV‐Dependability Lab National Center of Robotics & Automation (NCRA) Islamabad Pakistan
Funder
Higher Education Commission, Pakistan
Publisher
Wiley
Subject
Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/smr.2449
Reference109 articles.
1. Deeptest: automated testing of deep‐neural‐network‐driven autonomous cars;Tian Y;ACM,2018
2. HumbatovaN JahangirovaG BavotaG RiccioV StoccoA TonellaP.Taxonomy of real faults in deep learning systems In: Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering;2020:1110‐1121.
3. BreckE CaiS NielsenE SalibM SculleyD.What's your ML test score? a rubric for ML production systems;2016.
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