1 |
Singh, M., & Chhabra, J. K. (2024). Machine learning based improved cross-project software defect prediction using new structural features in object oriented software. Applied Soft Computing, 165, 112082. |
2 |
Singh, M., & Chhabra, J. K. (2024). Improved software fault prediction using new code metrics and machine learning algorithms. Journal of Computer Languages, 78, 101253. |
3 |
Singh, M., & Chhabra, J. K. (2024). An efficient instance selection algorithm for fast training of support vector machine for cross-project software defect prediction pairs. Journal of Computer Languages, 81, 101301. |
4 |
Singh, M., & Chhabra, J. K. (2025). Identification of Fault Prone Components in Multimedia Software based on Optimal Threshold Values decided using Genetic Algorithm. JUCS - Journal of Universal Computer Science, 31(5): 469-493. |
5 |
Singh, Manpreet, and Jitender Kumar Chhabra. "A hybrid approach based on k-nearest neighbors and decision tree for software fault prediction." Kuwait Journal of Science 50, no. 2A (2023). |