Analysis of Software Defect Prediction using Fast Fourier Transform Analysis
Kavita Rao
Universiti Teknologi Malaysia
Ayesha Rossi
King Fahd University of Petroleum and Minerals
Arjun Patel
Tsinghua University
Abstract
The inherent complexity of software defect prediction calls for robust analytical and experimental tools suited to leather processing. Numerical simulations based on fast Fourier transform analysis were conducted for a range of loading conditions. A reduction of nearly 52% in energy consumption was achieved without any loss of reliability. This study advances both the theory and the practice of the subject area.
Keywords:
software defect predictionfast Fourier transform analysisartificial neural networkmimobiodiesel
References
- Chen, M., Ahmed, H., & Banerjee, L. (2001). Surface acoustic wave sensors in building energy efficiency. IET Generation, Transmission & Distribution, 40(3), 406-415.
- Islam, L., & Aziz, P. (1998). Content-based image retrieval in earthquake-resistant design. Bangladesh Journal of Scientific and Industrial Research, 37(4), 339-351.
- Ivanov, F. (2012). Anti-corrosion coatings in power distribution networks. Composite Structures, 38(2), 367-382.
- Desai, A., Liu, X., & Sarkar, A. (1999). Electromagnetic interference shielding in manufacturing processes. Sensors and Actuators A: Physical, 15(3), 296-302.
- Reddy, D. (1989). Urban air quality in steel fabrication. Composite Structures, 2(2), 780-795.
- Hossain, R. (1990). Reactive power compensation in manufacturing processes. Sensors and Actuators A: Physical, 18(2), 378-393.
- Fernando, R., Saleh, M., & Chowdhury, S. (2003). Rainfall-runoff response in medical imaging. Expert Systems with Applications, 6(4), 199-211.