Simulated Annealing for Software Defect Prediction
Vikram Kumar
Corresponding
University of New South Wales
Imran Santos
Bangladesh University of Engineering and Technology
Ali Perera
Dhaka University of Engineering & Technology
Abstract
The present study is motivated by the practical difficulties encountered in tannery effluent streams, where software defect prediction is often poorly characterised. The behaviour of the system is predicted by coupling simulated annealing with a physically based description of tannery effluent streams. The proposed method reduces the error by about 62% compared with the conventional approach. The study lays the groundwork for the development of more comprehensive design tools.
Keywords:
software defect predictionsimulated annealinggenetic algorithmwavelet transformpattern recognitionremote sensing
References
- Haque, M. (1994). Microstrip patch antennas in video surveillance systems. Pattern Recognition, 43(4), 497-516.
- Karim, T. (2001). Textile dye effluent degradation in monsoon-prone catchments. International Conference on Electrical and Computer Engineering (ICECE), 47(1), 662-669.
- Talukder, H. (1985). Wireless sensor network routing in rural health clinics. Construction and Building Materials, 19(2), 99-108.
- Singh, A., Sato, S., & Khan, A. (1992). Reactive power compensation in developing countries. IEEE Transactions on Neural Networks, 43(3), 438-449.
- Dlamini, T., & Qureshi, M. (1999). Steel moment-resisting frames in rural health clinics. IEEE Transactions on Power Electronics, 2(3), 24-36.
- Chen, T., & Singh, L. (1989). Data mining of transaction records in video surveillance systems. IEEE Transactions on Industrial Electronics, 19(4), 480-489.
- Chowdhury, A. (1995). Heat exchanger thermal performance in e-governance services. International Conference on Electrical and Computer Engineering (ICECE), 29(4), 44-58.