Artwork

Contenuto fornito da Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.
Player FM - App Podcast
Vai offline con l'app Player FM !

Can a Cybersecurity Parametric Cost Model be Developed?

56:25
 
Condividi
 

Manage episode 471842609 series 1264075
Contenuto fornito da Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

Can a cybersecurity parametric cost estimation model be developed? Every Department of Defense (DoD) program needs to account for, credibly estimate, budget/plan for, and assess the performance of its cybersecurity activities. Creating a cybersecurity parametric model would allow DoD programs to reliably estimate the effort and cost of cybersecurity activities, estimate an overall cybersecurity cost for a program, and obtain a defined and normalized set of cybersecurity data. In this webcast, Christopher Miller shares insights from a Carnegie Mellon University Software Engineering Institute study on cybersecurity cost estimating that can help national security organizations successfully deploy parametric cost modeling.

What Attendees Will Learn:

• a proposed work breakdown structure identifying cybersecurity-related activities and cost items, and existing descriptions of secure coding practices and levels of rigor for those practices based on data availability

• an approach to develop a cybersecurity parametric cost model

• a methodology to develop the cost model

  continue reading

174 episodi

Artwork
iconCondividi
 
Manage episode 471842609 series 1264075
Contenuto fornito da Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

Can a cybersecurity parametric cost estimation model be developed? Every Department of Defense (DoD) program needs to account for, credibly estimate, budget/plan for, and assess the performance of its cybersecurity activities. Creating a cybersecurity parametric model would allow DoD programs to reliably estimate the effort and cost of cybersecurity activities, estimate an overall cybersecurity cost for a program, and obtain a defined and normalized set of cybersecurity data. In this webcast, Christopher Miller shares insights from a Carnegie Mellon University Software Engineering Institute study on cybersecurity cost estimating that can help national security organizations successfully deploy parametric cost modeling.

What Attendees Will Learn:

• a proposed work breakdown structure identifying cybersecurity-related activities and cost items, and existing descriptions of secure coding practices and levels of rigor for those practices based on data availability

• an approach to develop a cybersecurity parametric cost model

• a methodology to develop the cost model

  continue reading

174 episodi

Alle episoder

×
 
Loading …

Benvenuto su Player FM!

Player FM ricerca sul web podcast di alta qualità che tu possa goderti adesso. È la migliore app di podcast e funziona su Android, iPhone e web. Registrati per sincronizzare le iscrizioni su tutti i tuoi dispositivi.

 

Guida rapida

Ascolta questo spettacolo mentre esplori
Riproduci