Sushant Kumar Pandey

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 16

Top Topics

Intrusion Detection System

Software Defect Prediction

Pattern Recognition

Autoregressive Moving Average

Top Venues

Expert Syst. Appl.

Knowl. Based Syst.

Publications

Md. Abu Ahammed Babu, Sushant Kumar Pandey, Darko Durisic, Ashok Chaitanya Koppisetty, Miroslaw Staron
Impact of Image Data Splitting on the Performance of Automotive Perception Systems. SWQD (2024)
Sushant Kumar Pandey, Anil Kumar Tripathi
DBDNN-Estimator: A Cross-Project Number of Fault Estimation Technique. SN Comput. Sci. 5 (1) (2024)
Sivajeet Chand, Sushant Kumar Pandey, Jennifer Horkoff, Miroslaw Staron, Miroslaw Ochodek, Darko Durisic
Comparing Word-Based and AST-Based Models for Design Pattern Recognition. PROMISE (2023)
Sushant Kumar Pandey, Sivajeet Chand, Jennifer Horkoff, Miroslaw Staron
Design Patterns Understanding and Use in the Automotive Industry: An Interview Study. PROFES (1) (2023)
Sushant Kumar Pandey, Anil Kumar Tripathi
Cross-Project setting using Deep learning Architectures in Just-In-Time Software Fault Prediction: An Investigation. AST (2023)
Sushant Kumar Pandey, Miroslaw Staron, Jennifer Horkoff, Miroslaw Ochodek, Nicholas Mucci, Darko Durisic
TransDPR: Design Pattern Recognition Using Programming Language Models. ESEM (2023)
Paulina Aniola, Sushant Kumar Pandey, Miroslaw Staron, Miroslaw Ochodek
Defect Backlog Size Prediction for Open-Source Projects with the Autoregressive Moving Average and Exponential Smoothing Models. FedCSIS (2023)
Vasilii Mosin, Miroslaw Staron, Darko Durisic, Francisco Gomes de Oliveira Neto, Sushant Kumar Pandey, Ashok Chaitanya Koppisetty
Comparing Input Prioritization Techniques for Testing Deep Learning Algorithms. SEAA (2022)
Sushant Kumar Pandey, Anil Kumar Tripathi
DNNAttention: A deep neural network and attention based architecture for cross project defect number prediction. Knowl. Based Syst. 233 (2021)
Sushant Kumar Pandey, Ravi Bhushan Mishra, Anil Kumar Tripathi
Machine learning based methods for software fault prediction: A survey. Expert Syst. Appl. 172 (2021)
Sushant Kumar Pandey, Anil Kumar Tripathi
An empirical study toward dealing with noise and class imbalance issues in software defect prediction. Soft Comput. 25 (21) (2021)
Sushant Kumar Pandey, Deevashwer Rathee, Anil Kumar Tripathi
Software defect prediction using K-PCA and various kernel-based extreme learning machine: an empirical study. IET Softw. 14 (7) (2020)
Sushant Kumar Pandey, Ravi Bhushan Mishra, Anil Kumar Tripathi
BPDET: An effective software bug prediction model using deep representation and ensemble learning techniques. Expert Syst. Appl. 144 (2020)
Sushant Kumar Pandey, Anil Kumar Tripathi
BCV-Predictor: A bug count vector predictor of a successive version of the software system. Knowl. Based Syst. 197 (2020)
Sushant Kumar Pandey
An anomaly detection technique-based intrusion detection system for wireless sensor network. Int. J. Wirel. Mob. Comput. 17 (4) (2019)
Sushant Kumar Pandey
Design and performance analysis of various feature selection methods for anomaly-based techniques in intrusion detection system. Secur. Priv. 2 (1) (2019)