Improving the reliability of medical software by predicting the dangerous software modules
Journal of Medical Systems - Special issue: Computer-based medical systems
An effort prediction framework for software defect correction
Information and Software Technology
A fuzzy-based meta-model for reasoning about the number of software defects
IFSA'03 Proceedings of the 10th international fuzzy systems association World Congress conference on Fuzzy sets and systems
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We develop a model to explain and predict the effort associated with changes made to software to correct faults while it is undergoing development. Since the effort data available for this study is ordinal in nature, ordinal response models are used to explain the effort in terms of measures of fault locality and the characteristics of the software components being changed. The calibrated ordinal response model is then applied to two projects not used in the calibration to examine predictive validity.