Automated Repair Of Static Analysis Alerts Software Engineering Institute (SEI) Podcast Series podcast

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Science Tech Carnegie Mellon University Software Engineering Institute Members of Technical Staff at the Software Engineering Institute Cybersecurity Artificialintelligenceengineering Futuretech Softwareengineering

Indhold leveret af Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

Software Engineering Institute (SEI) Podcast Series « »
Automated Repair of Static Analysis Alerts

4M ago 27:05

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Indhold leveret af Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

Developers know that static analysis helps make code more secure. However, static analysis tools often produce a large number of false positives, hindering their usefulness. In this podcast from the Carnegie Mellon University Software Engineering Institute (SEI), David Svoboda, a software security engineer in the SEI’s CERT Division, discusses Redemption, a new open source tool from the SEI that automatically repairs common errors in C/C++ code generated from static analysis alerts, making code safer and static analysis less overwhelming.

… continue reading

428 episoder

#Science #Tech #Carnegie Mellon University Software Engineering Institute #Members of Technical Staff at the Software Engineering Institute #Cybersecurity #Artificialintelligenceengineering #Futuretech #Softwareengineering

Artwork

Automated Repair of Static Analysis Alerts

Software Engineering Institute (SEI) Podcast Series

12 subscribers

published 4M ago

Del

MP3•Episode hjem

Indhold leveret af Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

Developers know that static analysis helps make code more secure. However, static analysis tools often produce a large number of false positives, hindering their usefulness. In this podcast from the Carnegie Mellon University Software Engineering Institute (SEI), David Svoboda, a software security engineer in the SEI’s CERT Division, discusses Redemption, a new open source tool from the SEI that automatically repairs common errors in C/C++ code generated from static analysis alerts, making code safer and static analysis less overwhelming.

… continue reading

428 episoder

#Science #Tech #Carnegie Mellon University Software Engineering Institute #Members of Technical Staff at the Software Engineering Institute #Cybersecurity #Artificialintelligenceengineering #Futuretech #Softwareengineering

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