What is white box testing?
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White box testing is a software testing method that focuses on examining the internal structure and logic of a software application. It involves testing the code, data flow, and control flow to ensure that all paths and conditions are tested thoroughly. White box testing techniques include basis path testing, where test cases are designed based on the flow graph and cyclomatic complexity of the code . In the context of NLP models, white box testing methods have been developed specifically for transformer-based NLP models. These methods, such as Mask Neuron Coverage (MNCOVER), evaluate the internal behavior of the models by measuring the thoroughness of attention layers during testing . White box testing can help identify defects or errors in software applications and is commonly used in web application testing to ensure the functionality works correctly . Additionally, white box testing approaches like Test4Deep have been proposed for deep neural networks, aiming to maximize neuron coverage and improve the accuracy and robustness of the models .
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| Papers (4) | Insight |
|---|---|
| White box testing is a testing approach that is historically more commonly used in the industry, but the paper does not provide a specific definition or explanation of white box testing. | |
| White-box testing is a method for evaluating the internal behavior of deep models. The paper proposes customized white-box testing methods for transformer-based NLP models. | |
| White box testing is a method that tests the internal structure, design, and code of software. It helps identify errors in the implementation of the software. | |
| White-box testing is a method for evaluating the internal behavior of deep models. The paper proposes customized white-box testing methods for transformer-based NLP models. |
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