Fault Prediction Capability of Program File's Logical-Coupling Metrics

Frequent changes in logically coupled source files induced bugs in software. Metrics have been used to identify source files which are logically coupled. In this paper, we propose an approach to compute a set of eight metrics, which measure logical-couplings among source files. We compute these metrics using the historical data of software changes which are related to the fixing of post release bugs. To validate that our propose set of metrics is highly correlated with the number bugs and are more capable to construct a bug prediction model, we performed an experiment. Our experimental results show that our propose set of metrics is highly correlated with the number of bugs, and hence can be used to construct a bug prediction model. In our experiment, the obtained accuracy of our bug predictor model is 97%.