For several years, the software engineering community has been working to identify practices aimed at developing more secure software. Although some foundational work has been performed, efforts to measure software security assurance have yet to materialize in any substantive fashion. As a result, decision makers (e.g., development program and project managers, acquisition program offices) lack confidence in the security characteristics of their software-reliant systems. The CERT® Program at Carnegie Mellon University's Software Engineering Institute (SEI) has chartered the Software Security Measurement and Analysis (SSMA) Project to advance the state-of-the-practice in software security measurement and analysis. The SSMA Project is exploring how to use risk analysis to direct an organization's software security measurement and analysis efforts. The overarching goal is to develop a risk-based approach for measuring and monitoring the security characteristics of interactively complex software-reliant systems across the life cycle and supply chain. To accomplish this goal, the project team has developed the SEI Integrated Measurement and Analysis Framework (IMAF) and refined the SEI Mission Risk Diagnostic (MRD). This report is an update to the technical note, Integrated Measurement and Analysis Framework for Software Security (CMU/SEI-2010-TN-025), published in September 2010. This report presents the foundational concepts of a risk-based approach for software security measurement and analysis and provides an overview of the IMAF and the MRD.
Related Links
Deriving Software Security Measures from Information Security Standards of Practice
Integrated Measurement and Analysis Framework for Software Security
This report is related to the following area(s) of work:
Security and SurvivabilityTechnical Note
2012-TN-004
February 2012
SEI:
Alberts, Christopher; Allen, Julia; & Stoddard, Robert. Risk-Based Measurement and Analysis: Application to Software Security (2012-TN-004). Software Engineering Institute, Carnegie Mellon University, 2012. http://www.sei.cmu.edu/library/abstracts/reports/12tn004.cfm
IEEE:
C. Alberts, J. Allen, and R. Stoddard, "Risk-Based Measurement and Analysis: Application to Software Security," Software Engineering Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania, Technical Note 2012-TN-004, 2012. http://www.sei.cmu.edu/library/abstracts/reports/12tn004.cfm
APA:
Alberts, C., Allen, J., & Stoddard, R. (2012). Risk-Based Measurement and Analysis: Application to Software Security (2012-TN-004). Retrieved June 19, 2013, from the Software Engineering Institute, Carnegie Mellon University website: http://www.sei.cmu.edu/library/abstracts/reports/12tn004.cfm
CHI:
Alberts, Christopher, Julia Allen, and Robert Stoddard. Risk-Based Measurement and Analysis: Application to Software Security (2012-TN-004). Pittsburgh, PA: Software Engineering Institute, Carnegie Mellon University, 2012. http://www.sei.cmu.edu/library/abstracts/reports/12tn004.cfm
MLA:
Alberts, C., Allen, J., & Stoddard, R. 2012. Risk-Based Measurement and Analysis: Application to Software Security (Technical Report 2012-TN-004). Pittsburgh: Software Engineering Institute, Carnegie Mellon University. http://www.sei.cmu.edu/library/abstracts/reports/12tn004.cfm
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