Software Supply Chain Risk Management: From Products to Systems of Systems

Abstract

Supply chains are usually thought of as manufacturing and delivering physical items, but there are also supply chains associated with the development and operation of a software system. Software supply chain research does not have decades of evidence to draw on, as with physical-item supply chains. Taking a systems perspective on software supply chain risks, this report considers current practices in software supply chain analysis and suggests some foundational practices. The product and supplier selection criteria for system development depend on how a product is used in a system. While many of the criteria for the selection of product suppliers and system development contractors are the same, there is also a significant difference between these kinds of acquisitions. Product development is completed in advance of an acquirer?s product and supplier assessment. There is no guarantee that current supplier development practices were used for a specific product. For custom system acquisitions, acquirers can and should actively monitor both contractor and product supply chain risks during development. This report suggests contractor and acquirer activities that support the management of supply chain risks.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2010
Accession Number
ADA536207

Entities

People

  • Audrey J. Dorofee
  • Carol C. Woody
  • Christopher J. Alberts
  • Rita Creel
  • Robert J. Ellison

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Cyber

DTIC Thesaurus Topics

  • Application Software
  • Computer Programming
  • Computer Programs
  • Computers
  • Cyberattacks
  • Cybersecurity
  • Information Systems
  • Operating Systems
  • Risk
  • Risk Analysis
  • Risk Management
  • Software Design
  • Software Development
  • Supply Chain
  • Supply Chain Integrity
  • Web Browsers
  • Word Processors

Readers

  • Government Contracting/Procurement.
  • Mathematical Modeling and Probability Theory.
  • Organizational Process Management (OPM).