Sushant Kumar Pandey

28 papers A 1B 2C 3Misc 1Journal 14Unranked 7
YearRankTypeTitle / Venue / Authors
2025 — conf
Automated Extract Method Refactoring with Open-Source LLMs: A Comparative Study.
AIware
Sivajeet Chand, Melih Kilic, Roland Würsching, Sushant Kumar Pandey, Alexander Pretschner
2025 J jnl
Automated Extract Method Refactoring with Open-Source LLMs: A Comparative Study.
CoRR
Sivajeet Chand, Melih Kilic, Roland Würsching, Sushant Kumar Pandey, Alexander Pretschner
2025 C conf
D-LeDe: A Data Leakage Detection Method for Automotive Perception Systems.
VEHITS
Md. Abu Ahammed Babu, Sushant Kumar Pandey, Darko Durisic, Ashok Chaitanya Koppisetty, Miroslaw Staron
2025 — conf
DS-Generator: Generating Software Metrics for Subsequent Versions of a Software System.
EASE Companion
Sushant Kumar Pandey, Adit Agarwal, Ashish Ranjan, Anil Kumar Tripathi
2025 J jnl
Design pattern recognition: a study of large language models.
Empir. Softw. Eng.
Sushant Kumar Pandey, Sivajeet Chand, Jennifer Horkoff, Miroslaw Staron, Miroslaw Ochodek, Darko Durisic
2025 B conf
How Well Small Language Models Can Be Adapted for Software Maintenance and Refactoring Tasks.
PROFES
Gabija Asvydyte, Sushant Kumar Pandey, Sivajeet Chand
2025 J jnl
Is deep learning good enough for software defect prediction?
Innov. Syst. Softw. Eng.
Sushant Kumar Pandey, Arya Haldar, Anil Kumar Tripathi
2025 J jnl
SDC-estimator: an effectual software defect count estimation technique for the upcoming version of software project.
Innov. Syst. Softw. Eng.
Sushant Kumar Pandey, Anil Kumar Tripathi
2024 — conf
Brain-Inspired Software Architecture: An Adaptive Neural Network Systems.
ICSA-C
Ashish Ranjan, Sushant Kumar Pandey, Ashwini Kumar Singh, Tribikram Pradhan
2024 — conf
Comparing Programming Language Models for Design Pattern Recognition.
ICSA-C
Sushant Kumar Pandey, Miroslaw Staron, Jennifer Horkoff, Miroslaw Ochodek, Darko Durisic
2024 J jnl
DBDNN-Estimator: A Cross-Project Number of Fault Estimation Technique.
SN Comput. Sci.
Sushant Kumar Pandey, Anil Kumar Tripathi
2024 Misc conf
Exploring Image Similarity-Based Splitting Techniques in Automotive Perception Systems.
QUATIC
Md. Abu Ahammed Babu, Sushant Kumar Pandey, Darko Durisic, Ashok Chaitanya Koppisetty, Miroslaw Staron
2024 — conf
Impact of Image Data Splitting on the Performance of Automotive Perception Systems.
SWQD
Md. Abu Ahammed Babu, Sushant Kumar Pandey, Darko Durisic, Ashok Chaitanya Koppisetty, Miroslaw Staron
2024 J jnl
Improving Image Data Leakage Detection in Automotive Software.
CoRR
Md. Abu Ahammed Babu, Sushant Kumar Pandey, Darko Durisic, Ashok Chaitanya Koppisetty, Miroslaw Staron
2023 — conf
Comparing Word-Based and AST-Based Models for Design Pattern Recognition.
PROMISE
Sivajeet Chand, Sushant Kumar Pandey, Jennifer Horkoff, Miroslaw Staron, Miroslaw Ochodek, Darko Durisic
2023 C conf
Cross-Project setting using Deep learning Architectures in Just-In-Time Software Fault Prediction: An Investigation.
AST
Sushant Kumar Pandey, Anil Kumar Tripathi
2023 C conf
Defect Backlog Size Prediction for Open-Source Projects with the Autoregressive Moving Average and Exponential Smoothing Models.
FedCSIS
Paulina Aniola, Sushant Kumar Pandey, Miroslaw Staron, Miroslaw Ochodek
2023 — conf
Design Patterns Understanding and Use in the Automotive Industry: An Interview Study.
PROFES (1)
Sushant Kumar Pandey, Sivajeet Chand, Jennifer Horkoff, Miroslaw Staron
2023 A conf
TransDPR: Design Pattern Recognition Using Programming Language Models.
ESEM
Sushant Kumar Pandey, Miroslaw Staron, Jennifer Horkoff, Miroslaw Ochodek, Nicholas Mucci, Darko Durisic
2022 B conf
Comparing Input Prioritization Techniques for Testing Deep Learning Algorithms.
SEAA
Vasilii Mosin, Miroslaw Staron, Darko Durisic, Francisco Gomes de Oliveira Neto, Sushant Kumar Pandey, Ashok Chaitanya Koppisetty
2021 J jnl
An empirical study toward dealing with noise and class imbalance issues in software defect prediction.
Soft Comput.
Sushant Kumar Pandey, Anil Kumar Tripathi
2021 J jnl
DNNAttention: A deep neural network and attention based architecture for cross project defect number prediction.
Knowl. Based Syst.
Sushant Kumar Pandey, Anil Kumar Tripathi
2021 J jnl
Machine learning based methods for software fault prediction: A survey.
Expert Syst. Appl.
Sushant Kumar Pandey, Ravi Bhushan Mishra, Anil Kumar Tripathi
2020 J jnl
BCV-Predictor: A bug count vector predictor of a successive version of the software system.
Knowl. Based Syst.
Sushant Kumar Pandey, Anil Kumar Tripathi
2020 J jnl
BPDET: An effective software bug prediction model using deep representation and ensemble learning techniques.
Expert Syst. Appl.
Sushant Kumar Pandey, Ravi Bhushan Mishra, Anil Kumar Tripathi
2020 J jnl
Software defect prediction using K-PCA and various kernel-based extreme learning machine: an empirical study.
IET Softw.
Sushant Kumar Pandey, Deevashwer Rathee, Anil Kumar Tripathi
2019 J jnl
An anomaly detection technique-based intrusion detection system for wireless sensor network.
Int. J. Wirel. Mob. Comput.
Sushant Kumar Pandey
2019 J jnl
Design and performance analysis of various feature selection methods for anomaly-based techniques in intrusion detection system.
Secur. Priv.
Sushant Kumar Pandey