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On this episode of Embedded Insiders, we’re joined by Paul Butcher, Senior Software Engineer at AdaCore, to discuss how AI can make fuzz testing even more robust through the integration of techniques like symbolic execution and input-to-state correspondence that optimize test data sets against scenarios a system might encounter in the real world
Implementing AI in Fuzz Testing: A Q & A with Paul Butcher, Senior Software Engineer at AdaCore Ltd - StoryOctober 28, 2022
There are many challenges that come with AI testing in safety-critical applications, as well as a variety of processes that can be used to find and fix security vulnerabilities using AI. We interviewed Paul Butcher, Senior Software Engineer at AdaCore Ltd, to discuss the most common security vulnerabilities impacting today's developers when integrating AI and ML in testing processes like fuzz testing, and what solutions AdaCore provides to help combat these concerns.
Debug & Test
On average, software engineers spend 20-25 percent of the development lifecycle on testing, and potentially much more when working on safety-critical systems. The worst part may be that your standard unit tests aren’t able to provide 100% code coverage.
Embedded Executive: Quentin Ochem, Product Management Lead, AdaCore and Florian Gilcher, Managing Director, Ferrous Systems - PodcastMarch 09, 2022
AdaCore is one of the leaders in the Ada programming language. Ada has been around for a long time, and is time tested.
AdaCore announced the availability of its new GNAT Dynamic Analysis Suite - a bundle of analysis, testing, verification, and code coverage technologies to help Ada developers build safe, secure software as well as meet internal security and quality procedures.
With time to market pressures constantly increasing, technology organizations are moving away from traditional waterfall development workflows and towards Agile/DevOps software development practices.
Static analysis tools are widely used in safety- and security-critical applications as a means of finding and remediating coding errors. In fact, they are the de facto software testing tool in these industries.