SoftRel's method

This method was developed via an extensive data mining activity of the practices employed by software development organizations.  It mathematically correlates defect density to a variety of development practices and design related parameters. Data was collected on a variety of application and industry types. The algorithms are updated on a yearly basis as SoftRel, LLC collects more industry data. 

The three P's (product, people, practices/process) are evaluated using a survey and then a percentile of either 1%, 10%, 25%, 50%, 75%, 90% or 99% is computed from the survey responses.  That percentile is then used to measure defect density.  You can see that the lower the percentile, the lower the defect density.  

The organizations benchmarked with the best practices (highest score on survey) also had a lower probability of late delivery as shown below.

Below is the process for predicting and then managing latent software defects.

The prediction can be done as early as the proposal phase.

Even if you have absolutely no historical information and no component related information, a measurement can still be made using industry data. If you have COTS components, the above process still applies. If data is not available from COTS suppliers, there are default techniques available.

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