Testing and validating machine learning classifiers by metamorphic testing-Reference-Cited by-同舟云学术

Testing and validating machine learning classifiers by metamorphic testing

Published:2011-04 Issue:4 Volume:84 Page:544-558
ISSN:0164-1212
Container-title:Journal of Systems and Software
language:en
Short-container-title:Journal of Systems and Software

Author:

Xie Xiaoyuan,Ho Joshua W.K.,Murphy Christian,Kaiser Gail,Xu Baowen,Chen Tsong Yueh

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Software

Reference40 articles.

1. Introduction to Machine Learning;Alpaydin,2004

2. Is mutation an appropriate tool for testing experiments?;Andrews,2005

3. Saner: composing static and dynamic analysis to validate sanitization in web applications;Balzarotti,2008

4. Novel applications of machine learning in software testing;Briand,2008

5. A metamorphic testing approach for online testing of service-oriented software applications;Chan;International Journal of Web Services Research,2007

Cited by 258 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Evaluating Human Trajectory Prediction with Metamorphic Testing;Proceedings of the 9th ACM International Workshop on Metamorphic Testing;2024-09-13

2. Identifying the Failure-Revealing Test Cases in Metamorphic Testing: A Statistical Approach;ACM Transactions on Software Engineering and Methodology;2024-09-13

3. CooTest: An Automated Testing Approach for V2X Communication Systems;Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis;2024-09-11

4. Improving Early Fault Detection in Machine Learning Systems Using Data Diversity-Driven Metamorphic Relation Prioritization;Electronics;2024-08-26

5. Integrating AI and Machine Learning in Quality Assurance for Automation Engineering;International Journal for Research Publication and Seminar;2024-07-25