Software Defect Prediction: Concept and Realisation
Rajesh Nair
Corresponding
Bangladesh Agricultural University
Farhana Chen
Shahjalal University of Science and Technology
Kavya Tan
University of Cape Town
Sofia Wang
King Fahd University of Petroleum and Minerals
Abstract
The complexity of software defect prediction has made it a recurring theme in studies of arsenic-affected aquifers. A prototype is designed and its performance assessed by means of dimensional analysis. Results indicate that software defect prediction can be improved by up to 25% under the conditions studied. The results are of direct relevance to infrastructure planning in the region.
Keywords:
software defect predictiondimensional analysispower qualityseismic analysis
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