Abstract:
In this paper, we present the application of neural network
for predicting software development faults including
object-oriented faults. Object-oriented metrics can be used
in quality estimation. In practice, quality estimation means
either estimating reliability or maintainability. In the
context of object-oriented metrics work, reliability is
typically measured as the number of defects. Objectoriented design metrics are used as the independent
variables and the number of faults is used as dependent
variable in our study. Software metrics used include those
concerning inheritance measures, complexity measures,
coupling measures and object memory allocation
measures. We also test the goodness of fit of neural
network model by comparing the prediction result for
software faults with multiple regression model. Our study
is conducted on three industrial real-tirne systems that
contain a number of natural faults that has been reported
for three years [1].
