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Contenido proporcionado por Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
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Can a Cybersecurity Parametric Cost Model be Developed?

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Manage episode 471842609 series 1264075
Contenido proporcionado por Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.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 episodios

Artwork
iconCompartir
 
Manage episode 471842609 series 1264075
Contenido proporcionado por Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.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 episodios

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