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Content provided by Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
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Automating Repair of Pervasive Software Flaws

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Manage episode 310835934 series 3074403
Content provided by Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Manually fixing coding errors is time- and money-consuming. As a result, teams charged to make the fixes can eliminate few vulnerabilities; and fixing errors often breaks the working code, adding unwanted delay in testing. The SEI has developed a tool to detect and automatically repair integer overflow and reads of stale sensitive data, two pervasive software flaws. You can find more on SEI’s technique for automated code repair in “Inference of Memory Bounds: Preventing the Next Heartbleed” at https://insights.sei.cmu.edu/sei_blog....

For more information, write to [email protected].

  continue reading

102 episodes

Artwork
iconShare
 
Manage episode 310835934 series 3074403
Content provided by Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Manually fixing coding errors is time- and money-consuming. As a result, teams charged to make the fixes can eliminate few vulnerabilities; and fixing errors often breaks the working code, adding unwanted delay in testing. The SEI has developed a tool to detect and automatically repair integer overflow and reads of stale sensitive data, two pervasive software flaws. You can find more on SEI’s technique for automated code repair in “Inference of Memory Bounds: Preventing the Next Heartbleed” at https://insights.sei.cmu.edu/sei_blog....

For more information, write to [email protected].

  continue reading

102 episodes

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