Frestimate Short Cut Defect Density Prediction Model

This model correlates 23 software development practices to defect density. You evaluate the practices and inherent risks that pertain to a particular software release and Frestimate computes the escaped and testing defect density.  While the Full scale model employs an exhaustive list of development practices that have been correlated to defect density, this model has a select set that are generally easy to measure particularly for people who may not be software engineers.

  • Acquisitions personnel use this model to assess a high, medium or low risk of purchased software
  • Software managers use this model for doing tradeoff analyses to determine which practices will result in lower defects in the future as well as identifying practices that may not be reducing defects as well as others.
  • Software test managers use this model to gauge the testing effort required to meet a specific quality objective.
  • Reliability engineers use this model to predict defects which is needed to predict failure rate, MTBF, etc.
  • Engineering managers use this model to assess an initial risk of the software project to the overall schedule
  • This model is recommended in the 2016 IEEE Recommended Practices for Software Reliability.

The Shortcut Model is available in the Frestimate Standard and Manager's Edition as well as the Software Reliability Toolkit.

The Shortcut Model isrecommended in the 2016 IEEE Recommended Practices for Software Reliability.

Screen Shot

Shortcut defect density prediction model

Shortcut defect density prediction model

Key Benefits

  • Allows for some trade-offs and identification of some key practices
  • Provides richer information than the one parameter lookup charts contained in the Basic Module yet it is quicker then using the detailed models such as the Fullscale or the Rome Labs models.
  • Supports software management
  • Versatile for acquisitions personnel, software managers, reliability engineers, software process engineers and testing managers