| Machine learning based methods for software fault prediction: A survey SK Pandey, RB Mishra, AK Tripathi Expert Systems with Applications 172, 114595, 2021 | 142 | 2021 |
| BPDET: An effective software bug prediction model using deep representation and ensemble learning techniques SK Pandey, RB Mishra, AK Tripathi Expert Systems with Applications 144, 113085, 2020 | 126 | 2020 |
| An empirical study toward dealing with noise and class imbalance issues in software defect prediction SK Pandey, AK Tripathi Soft Computing 25 (21), 13465-13492, 2021 | 35 | 2021 |
| Software defect prediction using K‐PCA and various kernel‐based extreme learning machine: an empirical study SK Pandey, D Rathee, AK Tripathi IET Software 14 (7), 768-782, 2020 | 33 | 2020 |
| Software bug prediction prototype using bayesian network classifier: A comprehensive model SK Pandey, RB Mishra, AK Triphathi Procedia computer science 132, 1412-1421, 2018 | 30 | 2018 |
| Bcv-predictor: A bug count vector predictor of a successive version of the software system SK Pandey, AK Tripathi Knowledge-Based Systems 197, 105924, 2020 | 26 | 2020 |
| DNNAttention: A deep neural network and attention based architecture for cross project defect number prediction SK Pandey, AK Tripathi Knowledge-Based Systems 233, 107541, 2021 | 18 | 2021 |
| Design and performance analysis of various feature selection methods for anomaly-based techniques in intrusion SK Pandey Security and Privacy 1 (7), e56, 2019 | 16* | 2019 |
| Class imbalance issue in software defect prediction models by various machine learning techniques: An empirical study SK Pandey, AK Tripathi 2021 8th International Conference on Smart Computing and Communications …, 2021 | 14 | 2021 |
| Intrusion detection system using anomaly technique in wireless sensor network SK Pandey, P Kumar, JP Singh, MP Singh 2016 International Conference on Computing, Communication and Automation …, 2016 | 11 | 2016 |
| An anomaly detection technique-based intrusion detection system for wireless sensor network SK Pandey International Journal of Wireless and Mobile Computing 17 (4), 323-333, 2019 | 9 | 2019 |
| Comparing input prioritization techniques for testing deep learning algorithms V Mosin, M Staron, D Durisic, FG de Oliveira Neto, SK Pandey, ... 2022 48th Euromicro Conference on Software Engineering and Advanced …, 2022 | 7 | 2022 |
| Transdpr: Design pattern recognition using programming language models SK Pandey, M Staron, J Horkoff, M Ochodek, N Mucci, D Durisic 2023 ACM/IEEE International Symposium on Empirical Software Engineering and …, 2023 | 6 | 2023 |
| Impact of image data splitting on the performance of automotive perception systems MAA Babu, SK Pandey, D Durisic, AC Koppisetty, M Staron International Conference on Software Quality, 91-111, 2024 | 5 | 2024 |
| Comparing word-based and ast-based models for design pattern recognition S Chand, SK Pandey, J Horkoff, M Staron, M Ochodek, D Durisic Proceedings of the 19th International Conference on Predictive Models and …, 2023 | 5 | 2023 |
| Cervical cytology in menopausal women JS Misra, S Pandey J Obstet Gynecol Ind 53 (5), 468-72, 2003 | 5 | 2003 |
| Is deep learning good enough for software defect prediction? SK Pandey, A Haldar, AK Tripathi Innovations in Systems and Software Engineering, 1-16, 2023 | 4 | 2023 |
| DBDNN-estimator: a cross-project number of fault estimation technique SK Pandey, AK Tripathi SN Computer Science 5 (1), 29, 2023 | 3 | 2023 |
| Design patterns understanding and use in the automotive industry: An interview study SK Pandey, S Chand, J Horkoff, M Staron International Conference on Product-Focused Software Process Improvement …, 2023 | 2 | 2023 |
| Cross-project setting using deep learning architectures in just-in-time software fault prediction: an investigation SK Pandey, AK Tripathi 2023 IEEE/ACM International Conference on Automation of Software Test (AST …, 2023 | 2 | 2023 |
Anil Kumar TripathiProfessor, Dept. of Computer Science & Engg, Indian Institute of Technology (BHU), Varanasi, INDIAכתובת אימייל מאומתת בדומיין iitbhu.ac.in