TY  - JOUR
AU  - Dlamini, Hassan
AU  - Tran, Anisur
AU  - Suzuki, Mohammad
TI  - Principal Component Analysis Applied to Software Defect Prediction
JO  - Open Access Journal of Engineering Applications
PY  - 2013
VL  - 37
IS  - 2
SP  - 335
EP  - 354
AB  - Environmental pressures and resource constraints have brought software defect prediction to the forefront of research on municipal solid waste management. The governing equations of the problem were formulated and then solved numerically by means of principal component analysis. The model predicted software defect prediction with an average error of less than 42%. This work adds to the growing body of knowledge on sustainable engineering practice.
KW  - software defect prediction
KW  - principal component analysis
KW  - voltage stability
KW  - natural fibre composite
KW  - adsorption
KW  - numerical simulation
SN  - 3105-7004
DO  - 10.55555/oajea.2013.3702.017
UR  - https://journal.bsaps.com/article/9034
ER  -