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

Artwork

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

Innehåll tillhandahållet av Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/legal.

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

5M ago 27:05

Dela

MP3•Episod hem

Innehåll tillhandahållet av Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.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

429 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 5M ago

Dela

MP3•Episod hem

Innehåll tillhandahållet av Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.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

429 episoder

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

Alla avsnitt

×

Välkommen till Player FM

Player FM scannar webben för högkvalitativa podcasts för dig att njuta av nu direkt. Den är den bästa podcast-appen och den fungerar med Android, Iphone och webben. Bli medlem för att synka prenumerationer mellan enheter.

Lyssna på 500+ ämnen