Sushant Kumar Pandey

According to our database, Sushant Kumar Pandey authored at least 16 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

DBDNN-Estimator: A Cross-Project Number of Fault Estimation Technique.

Sushant Kumar Pandey, Anil Kumar Tripathi

SN Comput. Sci., January, 2024

Impact of Image Data Splitting on the Performance of Automotive Perception Systems.

Md. Abu Ahammed Babu, Sushant Kumar Pandey, Darko Durisic, Ashok Chaitanya Koppisetty, Miroslaw Staron

Proceedings of the Software Quality as a Foundation for Security, 2024

2023

Comparing Word-Based and AST-Based Models for Design Pattern Recognition.

Sivajeet Chand, Sushant Kumar Pandey, Jennifer Horkoff, Miroslaw Staron, Miroslaw Ochodek, Darko Durisic

Proceedings of the 19th International Conference on Predictive Models and Data Analytics in Software Engineering, 2023

Design Patterns Understanding and Use in the Automotive Industry: An Interview Study.

Sushant Kumar Pandey, Sivajeet Chand, Jennifer Horkoff, Miroslaw Staron

Proceedings of the Product-Focused Software Process Improvement, 2023

Defect Backlog Size Prediction for Open-Source Projects with the Autoregressive Moving Average and Exponential Smoothing Models.

Paulina Aniola, Sushant Kumar Pandey, Miroslaw Staron, Miroslaw Ochodek

Proceedings of the 18th Conference on Computer Science and Intelligence Systems, 2023

TransDPR: Design Pattern Recognition Using Programming Language Models.

Sushant Kumar Pandey, Miroslaw Staron, Jennifer Horkoff, Miroslaw Ochodek, Nicholas Mucci, Darko Durisic

Proceedings of the ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2023

Cross-Project setting using Deep learning Architectures in Just-In-Time Software Fault Prediction: An Investigation.

Sushant Kumar Pandey, Anil Kumar Tripathi

Proceedings of the IEEE/ACM International Conference on Automation of Software Test, 2023

2022

Comparing Input Prioritization Techniques for Testing Deep Learning Algorithms.

Vasilii Mosin, Miroslaw Staron, Darko Durisic, Francisco Gomes de Oliveira Neto, Sushant Kumar Pandey, Ashok Chaitanya Koppisetty

Proceedings of the 48th Euromicro Conference on Software Engineering and Advanced Applications, 2022

2021

An empirical study toward dealing with noise and class imbalance issues in software defect prediction.

Sushant Kumar Pandey, Anil Kumar Tripathi

Soft Comput., 2021

DNNAttention: A deep neural network and attention based architecture for cross project defect number prediction.

Sushant Kumar Pandey, Anil Kumar Tripathi

Knowl. Based Syst., 2021

Machine learning based methods for software fault prediction: A survey.

Sushant Kumar Pandey, Ravi Bhushan Mishra, Anil Kumar Tripathi

Expert Syst. Appl., 2021

2020

BCV-Predictor: A bug count vector predictor of a successive version of the software system.

Sushant Kumar Pandey, Anil Kumar Tripathi

Knowl. Based Syst., 2020

Software defect prediction using K-PCA and various kernel-based extreme learning machine: an empirical study.

Sushant Kumar Pandey, Deevashwer Rathee, Anil Kumar Tripathi

IET Softw., 2020

BPDET: An effective software bug prediction model using deep representation and ensemble learning techniques.

Sushant Kumar Pandey, Ravi Bhushan Mishra, Anil Kumar Tripathi

Expert Syst. Appl., 2020

2019

Design and performance analysis of various feature selection methods for anomaly-based techniques in intrusion detection system.

Sushant Kumar Pandey

Secur. Priv., 2019

An anomaly detection technique-based intrusion detection system for wireless sensor network.

Sushant Kumar Pandey

Int. J. Wirel. Mob. Comput., 2019