Software Testing Model by Measuring the Level of Accuracy Fault Output Using Neural Network Algorithm-Reference-Cited by-同舟云学术

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Software Testing Model by Measuring the Level of Accuracy Fault Output Using Neural Network Algorithm

Published:2022-11-04 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 7th International Conference on Information Technology and Digital Applications (ICITDA)
language:
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Author:

Zulkifli ¹,Gaol Ford Lumban¹,Trisetyarso Agung¹,Budiharto Widodo²

Affiliation:

1. Binus University,BINUS Graduate Program - Computer Science,Computer Science Department,Jakarta,Indonesia

2. Binus University,School of Computer Science,Computer Science Department,Jakarta,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9971149/9971157/09971274.pdf?arnumber=9971274

Reference20 articles.

1. Using a neural network in the software testing process

2. Black-Box Testing for Security-Informed Safety of Automated Driving Systems

3. Model-based testing using UML activity diagrams: A systematic mapping study

Cited by 1 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. Software Testing Integration-Based Model (I-BM) Framework for Recognizing Measure Fault Output Accuracy Using Machine Learning Approach;International Journal of Software Engineering and Knowledge Engineering;2023-06-28

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