A Subtractive Clustering Based Approach for Early Prediction of Fault Proneness in Software Modules

@inproceedings{Khullar2012ASC,
  title={A Subtractive Clustering Based Approach for Early Prediction of Fault Proneness in Software Modules},
  author={Sunil Khullar and Kiranbir Kaur},
  year={2012}
}
In this paper, subtractive clustering based fuzzy inference system approach is used for early detection of faults in the function oriented software systems. This approach has been tested with real time defect datasets of NASA software projects named as PC1 and CM1. Both the code based model and joined model (combination of the requirement and code based metrics) of the datasets are used for training and testing of the proposed approach. The performance of the models is recorded in terms of… CONTINUE READING

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A Comparative Study of Data Clustering Techniques

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