Research on a Software Testing Method based on BP Neural Network
DOI:
https://doi.org/10.53469/wjimt.2025.08(05).16Keywords:
Software testing, Test cases, BP neural networks, Testing methodsAbstract
Software will have various problems in the process of writing and designing, and software testing is to find out as many defects and potential errors as possible through different test cases, so as to effectively ensure the quality of software. However, the current software testing is still mainly based on manual testing, which is difficult to adapt to the needs of modern software development. Especially in the military industry, the safety and reliability of software is particularly important. How to use as comprehensive test cases as possible to find out more potential errors. In this research paper, a software testing method based on BP neural network is proposed. In the BP neural network training as perfect as possible test case model, accurate and fast discovery of software errors, thereby improving the efficiency of software testing. At the same time, when the modified part of the code is to be retested, the test case model of BP neural network can test the other errors caused by the code change, thus effectively improving the work efficiency.
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