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What is Predicting Software Fault Incidence about?

This document discusses predicting software fault rates using change history data. The key points are: 1. Process measures based on change history, like number of changes to a module, are better predictors of future faults than product metrics like lines of code. 2. Modules that are on average one year older tend to have about a third fewer faults, suggesting code decays over time. 3. The most successful fault prediction model measures a module

Author

Denis Ávila Montini

Language

EN