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Discovering boundary values of feature-based machine learning classifiers through exploratory datamorphic testing

  • Published:2022-05 Issue: Volume:187 Page:111231
  • ISSN:0164-1212
  • Container-title:Journal of Systems and Software
  • language:en
  • Short-container-title:Journal of Systems and Software

Author:

Zhu Hong,Bayley Ian

Funder

Oxford Brookes University

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Software

Reference92 articles.

1. Testing for linear errors in nonlinear computer programs;Afifi,1992

2. An experiment on the effectiveness and efficiency of exploratory testing;Afzal;Empir. Softw. Eng.,2014

3. Data Mining: The Textbook;Aggarwal,2015

4. Exploratory testing;Bach,2002

5. Exploratory Testing Explained;Bach,2003

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4. Free Space and Lane Boundary Fault Recognition and Prediction for Independent Vehicles Using Machine Learning;2023 6th International Conference on Information Systems and Computer Networks (ISCON);2023-03-03

5. Metrics for Measuring Error Extents of Machine Learning Classifiers;2022 IEEE International Conference On Artificial Intelligence Testing (AITest);2022-08
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