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Dr. Suyash Shukla
Dr. Suyash Shukla
Assistant Professor, Department of Computer Science, BITS Pilani, Dubai Campus
Verified email at cs.iitr.ac.in
Title
Cited by
Cited by
Year
Applications of deep learning for phishing detection: a systematic literature review
C Catal, G Giray, B Tekinerdogan, S Kumar, S Shukla
Knowledge and Information Systems 64 (6), 1457-1500, 2022
1752022
Applicability of neural network based models for software effort estimation
S Shukla, S Kumar
2019 ieee world congress on services (services) 2642, 339-342, 2019
372019
Software reliability assessment using machine learning technique
RK Behera, S Shukla, SK Rath, S Misra
International Conference on Computational Science and Its Applications, 403-411, 2018
312018
Analyzing effect of ensemble models on multi-layer perceptron network for software effort estimation
S Shukla, S Kumar, PR Bal
2019 IEEE World Congress on Services (SERVICES) 2642, 386-387, 2019
202019
Software reliability assessment using deep learning technique
S Shukla, RK Behera, S Misra, SK Rath
Towards Extensible and Adaptable Methods in Computing, 57-68, 2018
172018
An Extreme Learning Machine based Approach for Software Effort Estimation.
S Shukla, S Kumar
ENASE, 47-57, 2021
92021
Know-UCP: locally weighted linear regression based approach for UCP estimation
S Shukla, S Kumar
Applied Intelligence 53 (11), 13488-13505, 2023
82023
Towards ensemble-based use case point prediction
S Shukla, S Kumar
Software Quality Journal 31 (3), 843-864, 2023
62023
A Stacking Ensemble-based Approach for Software Effort Estimation.
S Shukla, S Kumar
ENASE, 205-212, 2021
62021
Gervasi O et al
RK Behera, S Shukla, SK Rath, S Misra
Software reliability assessment using machine learning technique …, 2018
62018
Self-adaptive ensemble-based approach for software effort estimation
S Shukla, S Kumar
2023 IEEE International Conference on Software Analysis, Evolution and …, 2023
52023
Study of learning techniques for effort estimation in object-oriented software development
S Shukla, S Kumar
IEEE Transactions on Engineering Management 71, 4602-4618, 2022
42022
Towards non-linear regression-based prediction of use case point (UCP) metric
S Shukla, S Kumar
Applied Intelligence 53 (9), 10326-10339, 2023
32023
An approach to software defect prediction for small-sized datasets
PR Bal, S Shukla, S Kumar
Applied Intelligence 55 (6), 560, 2025
12025
PredictPP: A Rank‐Based Weighted Ensemble Model for Prediction of Software Project Productivity
S Shukla, S Kumar
Journal of Software: Evolution and Process 37 (10), e70059, 2025
2025
Towards Automated Prediction of Software Bugs from Textual Description
S Shukla, S Kumar
18th International Conference on Evaluation of Novel Approaches to Software …, 2023
2023
Problem of secondary structure prediction minimize by using the Baum Walch algorithm
S Agarwal, S Shukla, A Kumar, NU Khan
2015 International Conference on Advances in Computer Engineering and …, 2015
2015
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Articles 1–17