We developed a method to support dependability arguments about the future reliability of a product before there is direct empirical evidence based on
the product's development process.
The methods estimates the number of residual faults at the time of release from a "barrier model" of the development process, where in each phase faults
are created or detected.
These estimates can be used in a conservative theory in which a reliability bound can be obtained or can be used to support arguments of fault freeness.
Work model was applied to practice: a company that develops safety-critical systems provided access to two projects as well as data over a wide range
of past projects. The software development process as enacted was determined and we developed a number of probabilistic process models calibrated with
generic data from the literature and from the company projects. The predictive power of the various models was compared.
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