Fault Persistency and Fault Prediction in Optimization of Software Release
Maurizio Pighin, Anna Marzona · International Journal of Information Technology and Computer Science · 2013
This article serves two purposes: firstly, it presents an innovative methodology that increases the accuracy of fault p rediction measurements.This method is based on the novel concept of "fault persistency", which enables to correct prediction metrics with a weighted value related to the module's history.Secondly, it aims to develop operational processes from the aforesaid prediction metrics that may contribute to software construction and validation.It presents an example o f an allocation methodology for resources used for testing purposes.The theoretical part is followed by an extensive experimental phase.