TY  - JOUR
AU  - Petrov, Reza
AU  - Reddy, Kamrul
AU  - Alam, Deepak
TI  - Experimental Study of Software Defect Prediction
JO  - Open Access Journal of Engineering Applications
PY  - 2008
VL  - 32
IS  - 2
SP  - 840
EP  - 852
AB  - As structural health monitoring expands, the demand for a better understanding of software defect prediction continues to grow. A finite set of scenarios representative of structural health monitoring is examined using the finite difference method. Results indicate that software defect prediction can be improved by up to 30% under the conditions studied. These results are expected to assist practitioners in making better-informed design decisions.
KW  - software defect prediction
KW  - the finite difference method
KW  - adsorption
KW  - arsenic contamination
SN  - 3105-7004
DO  - 10.55555/oajea.2008.3202.042
UR  - https://journal.bsaps.com/article/8559
ER  -