Integrated Measurement and Analysis Framework for Software Security
September 2010 • Technical Note
Christopher J. Alberts, Julia H. Allen, Robert W. Stoddard
In this report, the authors address how to measure software security in complex environments using the Integrated Measurement and Analysis Framework (IMAF).
Software Engineering Institute
CMU/SEI Report Number
DOI (Digital Object Identifier):10.1184/R1/6574565.v1
In today’s business and operational environments, multiple organizations routinely work collaboratively to acquire, develop, deploy, and maintain technical capabilities via a set of interdependent, networked systems. Measurement in these distributed management environments can be an extremely challenging problem. The CERT Program, part of Carnegie Mellon University's Software Engineering Institute (SEI), is developing the Integrated Measurement and Analysis Framework (IMAF) to enable effective measurement in distributed environments, including acquisition programs, supply chains, and systems of systems. The IMAF defines an approach that integrates subjective and objective data from multiple sources (targeted analysis, reports, and tactical measurement) and provides decision makers with a consolidated view of current conditions. This report is the first in a series that addresses how to measure software security in complex environments. It poses several research questions and hypotheses and presents a foundational set of measurement concepts. It also describes how meaningful measures provide the information that decision makers need when they need it and in the right form. Finally, this report provides a conceptual overview of the IMAF, describes methods for qualitatively and quantitatively collecting data to inform the framework, and suggests how to use the IMAF to derive meaningful measures for analyzing software security performance.
Deriving Software Security Measures from Information Security Standards of Practice
Risk-Based Measurement and Analysis: Application to Software Security