Mission Risk Diagnostic (MRD) Method Description

Abstract

Although most programs and organizations use risk management when developing and operating software-reliant systems, preventable failures continue to occur at an alarming rate. In many instances, the root causes of these preventable failures can be traced to weaknesses in the risk management practices employed by those programs and organizations. In particular, Carnegie Mellon Software Engineering Institute (SEI) field experience indicates that programs and organizations throughout government and industry are unable to assess their risks effectively. For example, SEI independent assessments routinely uncover significant risks that have not been brought to the attention of key decision makers. When decision makers are unaware of significant risks, they are unable to take action to mitigate those risks. As a result, SEI researchers undertook a project to examine and improve the practice of risk assessment. The SEI has developed the Mission Risk Diagnostic (MRD) to assess risk in interactively complex, socio-technical systems across the life cycle and supply chain. To date, the SEI has employed the MRD in a variety of domains, including software acquisition and development, cybersecurity, software security, and business portfolio management. This technical note provides an overview of the MRD method.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2012
Accession Number
ADA611114

Entities

People

  • Audrey J. Dorofee
  • Christopher J. Alberts

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Cyber

DTIC Thesaurus Topics

  • Acquisition
  • Business Administration
  • Complex Systems
  • Cybersecurity
  • Engineering
  • Governments
  • Information Security
  • Lessons Learned
  • Life Cycles
  • Logistics
  • Organizational Structure
  • Risk
  • Risk Analysis
  • Risk Management
  • Security
  • Software Development
  • Supply Chain

Fields of Study

  • Computer science

Readers

  • Software Engineering.
  • Systems Analysis and Design

Technology Areas

  • Cyber