Taxonomy-Based Risk Identification

Abstract

This report describes a method for facilitating the systematic and repeatable identification of risks associated with the development of a software-dependent project. This method, derived from published literature and previous experience in developing software, was tested in active government- funded defense and civilian software development projects for both its usefulness and for improving the method itself. Results of the field tests encouraged the claim that the described method is useful, usable, and efficient. The report concludes with some macro-level lessons learned from the field tests and brief overview of future work in establishing risk management on a firm footing in software development projects.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1993
Accession Number
ADA266992

Entities

People

  • Clay F. Walker
  • F. C. Ulrich
  • Ira Monarch
  • Marvin J. Carr
  • Suresh L. Konda

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Engineered Resilient Systems
  • Human Systems

DTIC Thesaurus Topics

  • Application Software
  • Business Administration
  • Computer Programming
  • Computer Programs
  • Computers
  • Field Tests
  • Information Systems
  • Lessons Learned
  • Organizational Structure
  • Personnel Management
  • Risk
  • Risk Analysis
  • Risk Management
  • Software Design
  • Software Development
  • Software Testing
  • Test And Evaluation

Fields of Study

  • Computer science
  • Engineering

Readers

  • Organizational Process Management (OPM).
  • Regression Analysis.
  • Technical Research and Report Writing.