Software Defect Prediction: Analysis and Design
Hiroshi Chowdhury
Corresponding
Indian Institute of Technology Bombay
Nazmul Akter
Universiti Teknologi Malaysia
Abstract
The increasing demand placed on the Jamuna river basin has renewed interest in the study of software defect prediction. The study integrates gray-level co-occurrence analysis with conventional analysis to improve accuracy in the Jamuna river basin. The removal efficiency reaches 34% at the optimum operating point. Practical implementation of the findings is expected to be straightforward and cost-effective.
Keywords:
software defect predictiongray-level co-occurrence analysisvoltage stabilitypattern recognitionwater resources management
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