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Software Assurance Competency Model

Abstract

This Software Assurance (SwA) Competency Model was developed to create a foundation for assessing and advancing the capability of software assurance professionals. To help organizations and individuals determine SwA competency across a range of knowledge areas and units, this model provides a span of competency levels 1 through 5, as well as a decomposition into individual competencies based on knowledge and skills. This model also provides a framework for an organization to adapt the model's features to the organization's particular domain, culture, or structure. 

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SEI

Hilburn, Thomas; Ardis, Mark; Johnson, Glenn; Kornecki, Andrew; & Mead, Nancy. Software Assurance Competency Model (CMU/SEI-2013-TN-004). Software Engineering Institute, Carnegie Mellon University, 2013. http://resources.sei.cmu.edu/library/asset-view.cfm?AssetID=47953

IEEE

Hilburn. Thomas, Ardis. Mark, Johnson. Glenn, Kornecki. Andrew, and Mead. Nancy, "Software Assurance Competency Model," Software Engineering Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania, Technical Note CMU/SEI-2013-TN-004, 2013. http://resources.sei.cmu.edu/library/asset-view.cfm?AssetID=47953

APA

Hilburn, Thomas., Ardis, Mark., Johnson, Glenn., Kornecki, Andrew., & Mead, Nancy. (2013). Software Assurance Competency Model (CMU/SEI-2013-TN-004). Retrieved April 17, 2014, from the Software Engineering Institute, Carnegie Mellon University website: http://resources.sei.cmu.edu/library/asset-view.cfm?AssetID=47953

CHI

Thomas Hilburn, Mark Ardis, Glenn Johnson, Andrew Kornecki, & Nancy Mead. Software Assurance Competency Model (CMU/SEI-2013-TN-004). Pittsburgh, PA: Software Engineering Institute, Carnegie Mellon University, 2013. http://resources.sei.cmu.edu/library/asset-view.cfm?AssetID=47953

MLA

Hilburn, Thomas., Ardis, Mark., Johnson, Glenn., Kornecki, Andrew., & Mead, Nancy. 2013. Software Assurance Competency Model (Technical Report CMU/SEI-2013-TN-004). Pittsburgh: Software Engineering Institute, Carnegie Mellon University. http://resources.sei.cmu.edu/library/asset-view.cfm?AssetID=47953