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ORCIDSushant Kumar Pandey
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2020 – today
- 2024
[j9]Sushant Kumar Pandey
, Anil Kumar Tripathi:
DBDNN-Estimator: A Cross-Project Number of Fault Estimation Technique. SN Comput. Sci. 5(1): 29 (2024)- [c10]Ashish Ranjan, Sushant Kumar Pandey, Ashwini Kumar Singh, Tribikram Pradhan:
Brain-Inspired Software Architecture: An Adaptive Neural Network Systems. ICSA-C 2024: 69-73 - [c9]Sushant Kumar Pandey, Miroslaw Staron, Jennifer Horkoff, Miroslaw Ochodek, Darko Durisic:
Comparing Programming Language Models for Design Pattern Recognition. ICSA-C 2024: 183-190 - [c8]Md. Abu Ahammed Babu, Sushant Kumar Pandey, Darko Durisic, Ashok Chaitanya Koppisetty, Miroslaw Staron:
Exploring Image Similarity-Based Splitting Techniques in Automotive Perception Systems. QUATIC 2024: 51-67 - [c7]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: 91-111 - 2023
- [c6]Sushant Kumar Pandey, Anil Kumar Tripathi:
Cross-Project setting using Deep learning Architectures in Just-In-Time Software Fault Prediction: An Investigation. AST 2023: 24-34 - [c5]Sushant Kumar Pandey, Miroslaw Staron, Jennifer Horkoff, Miroslaw Ochodek, Nicholas Mucci, Darko Durisic:
TransDPR: Design Pattern Recognition Using Programming Language Models. ESEM 2023: 1-7 - [c4]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: 83-92 - [c3]Sushant Kumar Pandey, Sivajeet Chand, Jennifer Horkoff, Miroslaw Staron:
Design Patterns Understanding and Use in the Automotive Industry: An Interview Study. PROFES (1) 2023: 301-319 - [c2]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: 44-48 - 2022
- [c1]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: 76-83 - 2021
- [j8]Sushant Kumar Pandey, Ravi Bhushan Mishra, Anil Kumar Tripathi:
Machine learning based methods for software fault prediction: A survey. Expert Syst. Appl. 172: 114595 (2021) - [j7]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: 107541 (2021) - [j6]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): 13465-13492 (2021) - 2020
- [j5]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: 113085 (2020) - [j4]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): 768-782 (2020) - [j3]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: 105924 (2020)
2010 – 2019
- 2019
- [j2]Sushant Kumar Pandey:
An anomaly detection technique-based intrusion detection system for wireless sensor network. Int. J. Wirel. Mob. Comput. 17(4): 323-333 (2019) - [j1]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)
Coauthor Index
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