Improving Fault Prediction in Object-Oriented Software using Conceptual Metrics and Machine Learning Algorithms - Online Appendix

This web page is a companion to our Science of Computer Programming submission entitled "Improving Fault Prediction in Object-Oriented Software using Conceptual Metrics and Machine Learning Algorithms."

Data


Files
Component Matrix
component matrix
Metrics
metrics
Percents
percents

Main Collaborating Institutions

Participants

  • Béla Újházi

    E-mail:   
    Affiliation: University of Szeged, Hungary

  • Rudolf Ferenc

    E-mail:   
    Affiliation: University of Szeged, Hungary

  • Malcom Gethers

    E-mail:   
    Affiliation: College of William & Mary, USA

  • Denys Poshyvanyk

    E-mail:   
    Affiliation: College of William & Mary, USA

  • Tibor Gyimóthy

    E-mail:   
    Affiliation: University of Szeged, Hungary


We gratefully acknowledge financial support from the NSF on this research project.