Title :
Prediction models for software fault correction effort
Author :
Evanco, William M.
Author_Institution :
Drexel Univ., Philadelphia, PA, USA
Abstract :
We have developed 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
Keywords :
calibration; program debugging; software cost estimation; software maintenance; subroutines; calibrated ordinal response model; fault locality measures; ordinal effort data; predictive validity; software components; software development; software fault correction effort prediction models; Calibration; Computational Intelligence Society; Costs; Predictive models; Software maintenance; Software measurement; Software quality; Software systems; Software testing; Statistical analysis;
Conference_Titel :
Software Maintenance and Reengineering, 2001. Fifth European Conference on
Conference_Location :
Lisbon
Print_ISBN :
0-7695-1028-0
DOI :
10.1109/.2001.914975
