A Quality Process Performance Model for Software Development Projects: Using Monte Carlo Simulation to Predict Interim and Final Product Quality

Abstract

Summary: The Software Maintenance Group at Hill Air Force Base has created a Quality Model applicable formost software development projects. Quality is modeled by predicting defect injection and removal using historical data. Variation is taken into account by using a MonteCarlo Simulation to adjust estimates, defect injection rates and defect detection ratios. Interim results can be used to guide the project toward a final quality goal. Actual data replaces projected in the model as the project progresses.

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Document Details

Document Type
Technical Report
Publication Date
Apr 23, 2009
Accession Number
AD1014747

Entities

People

  • David R. Webb

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Defect Detection
  • Detection
  • Engineers
  • Logistics
  • Maintenance
  • Management Planning And Control
  • Monte Carlo Method
  • Numbers
  • Productivity
  • Real Numbers
  • Simulations
  • Software Development
  • Statistical Distributions
  • Supply Chain Management

Fields of Study

  • Engineering

Readers

  • Computational Modeling and Simulation
  • Manufacturing Engineering.
  • Software Engineering.