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

Innhold levert av Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

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

5M ago 27:05

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Innhold levert av Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.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

Del

MP3•Episoder hjem

Innhold levert av Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Carnegie Mellon University Software Engineering Institute and Members of Technical Staff at the Software Engineering Institute eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.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

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