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Pandey, Sushant Kumar
767  Ergebnisse:
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1

Impact of Image Data Splitting on the Performance of Automo..:

, In: Software Quality as a Foundation for Security; Lecture Notes in Business Information Processing,
Babu, Md. Abu Ahammed ; Pandey, Sushant Kumar ; Durisic, Darko.. - p. 91-111 , 2024
Link: https://doi.org/10.1007/..
 
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2

TransDPR: Design Pattern Recognition Using Programming Lang..:

, In: 2023 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM),
Pandey, Sushant Kumar ; Staron, Miroslaw ; Horkoff, Jennifer... - p. 1-7 , 2023
Link: https://doi.org/10.1109/..
 
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3

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

Pandey, Sushant Kumar ; Tripathi, Anil Kumar
SN Computer Science.  5 (2023)  1 - p. , 2023
Link: https://doi.org/10.1007/..
 
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4

Is deep learning good enough for software defect prediction:

Pandey, Sushant Kumar ; Haldar, Arya ; Tripathi, Anil Kumar
Innovations in Systems and Software Engineering.  , 2023
Link: https://doi.org/10.1007/..
 
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5

Comparing Word-Based and AST-Based Models for Design Patter..:

, In: Proceedings of the 19th International Conference on Predictive Models and Data Analytics in Software Engineering,
Chand, Sivajeet ; Pandey, Sushant Kumar ; Horkoff, Jennifer... - p. 44-48 , 2023
Link: https://dl.acm.org/doi/1..
 
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6

Cross-Project setting using Deep learning Architectures in ..:

, In: 2023 IEEE/ACM International Conference on Automation of Software Test (AST),
Pandey, Sushant Kumar ; Tripathi, Anil Kumar - p. 24-34 , 2023
Link: https://doi.org/10.1109/..
 
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7

Design Patterns Understanding and Use in the Automotive Ind..:

, In: Product-Focused Software Process Improvement; Lecture Notes in Computer Science,
Pandey, Sushant Kumar ; Chand, Sivajeet ; Horkoff, Jennifer. - p. 301-319 , 2023
Link: https://doi.org/10.1007/..
 
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8

Defect Backlog Size Prediction for Open-Source Projects wit..:

, In: 2023 18th Conference on Computer Science and Intelligence Systems (FedCSIS),
Sielicka, Paulina Aniola ; Pandey, Sushant Kumar ; Staron, Miroslaw. - p. 83-92 , 2023
Link: https://doi.org/10.15439..
 
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9

Comparing Input Prioritization Techniques for Testing Deep ..:

, In: 2022 48th Euromicro Conference on Software Engineering and Advanced Applications (SEAA),
Mosin, Vasilii ; Staron, Miroslaw ; Durisic, Darko... - p. 76-83 , 2022
Link: https://doi.org/10.1109/..
 
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10

An Adaptive Approach for defect Prediction using Dynamic Cl..:

, In: 2022 International Conference on Knowledge Engineering and Communication Systems (ICKES),
Upadhyay, Ashutosh ; Pandey, Sushant Kumar ; Tripathi, Anil Kumar - p. 1-8 , 2022
Link: https://doi.org/10.1109/..
 
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11

Machine learning based methods for software fault predictio..:

Pandey, Sushant Kumar ; Mishra, Ravi Bhushan ; Tripathi, Anil Kumar
Expert Systems with Applications.  172 (2021)  - p. 114595 , 2021
Link: https://doi.org/10.1016/..
 
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12

An empirical study toward dealing with noise and class imba..:

Pandey, Sushant Kumar ; Tripathi, Anil Kumar
Soft Computing.  25 (2021)  21 - p. 13465-13492 , 2021
Link: https://doi.org/10.1007/..
 
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13

DNNAttention: A deep neural network and attention based arc..:

Pandey, Sushant Kumar ; Tripathi, Anil Kumar
Knowledge-Based Systems.  233 (2021)  - p. 107541 , 2021
Link: https://doi.org/10.1016/..
 
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14

Software defect prediction using K‐PCA and various kernel‐b..:

Pandey, Sushant Kumar ; Rathee, Deevashwer ; Tripathi, Anil Kumar
IET Software.  14 (2020)  7 - p. 768-782 , 2020
Link: https://doi.org/10.1049/..
 
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15

BPDET: An effective software bug prediction model using dee..:

Pandey, Sushant Kumar ; Mishra, Ravi Bhushan ; Tripathi, Anil Kumar
Expert Systems with Applications.  144 (2020)  - p. 113085 , 2020
Link: https://doi.org/10.1016/..
 
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