Automated Repair of Static Analysis Alerts

Software Engineering Institute (SEI) Podcast Series

A tartalmat a Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.

4M ago 27:05

MP3•Epizód kép

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.

426 epizódok

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