| Empirical investigation of hyperparameter optimization for software defect count prediction M Nevendra, P Singh Expert Systems with Applications 191, 116217, 2022 | 22 | 2022 |
| Software defect prediction using deep learning M Nevendra, P Singh Acta Polytechnica Hungarica 18 (10), 173-189, 2021 | 20 | 2021 |
| Software bug count prediction via AdaBoost. R-ET M Nevendra, P Singh 2019 IEEE 9th International Conference on Advanced Computing (IACC), 7-12, 2019 | 13 | 2019 |
| Defect count prediction via metric-based convolutional neural network M Nevendra, P Singh Neural Computing and Applications 33 (22), 15319-15344, 2021 | 8 | 2021 |
| A survey of software defect prediction based on deep learning M Nevendra, P Singh Archives of Computational Methods in Engineering 29 (7), 5723-5748, 2022 | 7 | 2022 |
| Multistage preprocessing approach for software defect data prediction M Nevendra, P Singh Social Transformation–Digital Way: 52nd Annual Convention of the Computer …, 2018 | 5 | 2018 |
| Cross-Project Defect Prediction with Metrics Selection and Balancing Approach M Nevendra, P Singh Applied Computer Systems 27 (2), 137-148, 2022 | 3 | 2022 |
| Software defect prediction by strong machine learning classifier M Nevendra, P Singh Intelligent Computing and Communication Systems, 321-329, 2021 | 1 | 2021 |
| Prediction priority of defective modules for testing resource allocation P Singh, M Nevendra Automated Software Testing: Foundations, Applications and Challenges 15, 95-109, 2020 | 1 | 2020 |
| HTL-DP: Homogeneous Transfer Learning for Defect Prediction M Nevendra, P Singh International Conference on Information Systems and Management Science, 257-267, 2021 | | 2021 |
| Correlation Between Software Metrics and Defects M Nevendra Journal of Computer Technology & Applications 9 (1), 6-11, 2018 | | 2018 |
| Software Defect Prediction by Strong mkkS Machine Learning Classifier M Nevendra, P Singh | | |
