Machine Learning Lends a Hand for Automated Software Testing

Automated testing is increasingly important in development, especially for finding security issues, but fuzz testing requires a high level of expertise — and the sheer volume of code developers are working with, from third-party components to open source frameworks and projects, makes it hard to test every line of code. Now, a set of artificial intelligence-powered options like Microsoft’s Security Risk Detection service and Diffblue’s security scanner and test generation tools aim to make these techniques easier, faster and accessible to more developers.

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