Risk chain prediction metrics for predicting fault proneness in object oriented systems

  • Authors:

  • N. Rajasekhar Reddy;Surya Bahadur;K. R. K. Sateesh

  • Affiliations:

  • Madanapalli Institute of Technology and Science, Madanapalli, AndhraPradesh, India;Madanapalli Institute of Technology and Science, Madanapalli, AndhraPradesh, India;Madanapalli Institute of Technology and Science, Madanapalli, AndhraPradesh, India

  • Venue:
  • Proceedings of the Second International Conference on Computational Science, Engineering and Information Technology
  • Year:
  • 2012

Quantified Score

Hi-index 0.00

Visualization

Abstract

The paper presents two atypical risk chain prediction metrics for barometer coupling and accord in software systems. Our aboriginal metric, Ideal Coupling between Object classes (ICBO), is based on the acclaimed CBO coupling metric, while the added metric, Ideal Lack of Cohesion on Methods (ILCOM5), is based on the LCOM5 accord metric. One advantage of the proposed risk chain prediction metrics is that they can be computed in a simpler way as compared to some of the structural metrics. We empirically advised ICBO and ILCOM5 for admiration fault proneness of classes in a ample accessible antecedent arrangement and compared these metrics with a host of absolute structural and risk chain prediction metrics for the aforementioned task.