Software defect prediction using cost-sensitive neural network

- Software defect prediction model was built by Artificial Neural Network (ANN).
- ANN connection weights were optimized by Artificial Bee Colony (ABC).
- Parametric cost-sensitivity feature was added to ANN by using a new error function.
- Model was applied to five publicly available datasets from the NASA repository.
- Results were compared with other cost-sensitive and non-cost-sensitive studies.