Intel wants to make it easier than ever to spot coding errors

Date:
Thu, 21 Oct 2021 15:13:12 +0000

Description:
Intel says new machine learning-powered tool has already helped improve several open source and proprietary software.

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Intel has open sourced its ControlFlag tool, which the company claims uses advanced self-supervised machine-learning ( ML ) techniques to detect coding anomalies.

Now released under the MIT license and available on GitHub, ControlFlag was designed to help reduce the time it takes to debug and improve the code quality.

ControlFlag works with any programming language with control structures and utilizes the emerging concept of semi-trust to utilize self-supervised learning, enabling it to learn from unlabeled source code, writes Intel principal AI scientist Justin Gottschlich. Heres our roundup of the best laptops for programming These are the best Linux distros for developers Check our list of these best Python courses

Gottschlich added that ControlFlag is self-evolving, and can make itself better with minimal manual effort as it is fed new data. Tried and tested

To stress on the importance of a tool like ControlFlag, Gottschlich relied on studies that suggested that debugging code costs as much as half of a
projects total budget, and the industry as a whole spent around $2 trillion
to debug software last year alone.

He then showed off the usefulness of ControlFlag by pointing to a couple of its wins on widely used open source, and production-level software.

For instance, last year, ControlFlag identified a code anomaly in the popular cURL open source library and tool, which was subsequently patched. Most recently, ControlFlag identified hundreds of latent defects related to memory and potential system crash bugs in a proprietary production-level software that Gottschlichdidnt name.

He also added that ControlFlag has also been employed by various open source software repositories and has uncovered dozens of novel anomalies.

Each anomaly, thus far, has been acknowledged as a real defect by the open-source maintainers and has since been corrected, beams Gottschlich.
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Link to news story: https://www.techradar.com/news/intel-wants-to-make-it-easier-than-ever-to-spot -coding-errors/


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