Software

Prediction of Level of Severity of Faults in Software Systems Using Density Based Clustering

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Executive Summary

There is lot of work done in prediction of the faults and fault proneness in the various kinds of software systems. But, it is the impact or level of severity of those faults which is more important than number of faults existing in the systems, as the major faults matters most for a developer than the minor ones and these major faults needs immediate attention. Density-Based Spatial Clustering of Applications with Noise (DBSCAN) is most widely used density based algorithm and has played a significant role in finding non linear shapes structure based on the density in various application domains.

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