Suyash Shukla

According to our database, Suyash Shukla authored at least 16 papers between 2018 and 2026.

Collaborative distances:

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

2026

An Extensive Empirical Investigation of Ensemble Learning for Software Defect Prediction.

Megha Jayakumar, Suyash Shukla, Sandeep Kumar

Proceedings of the 21st International Conference on Evaluation of Novel Approaches to Software Engineering, 2026

Towards Interpretable Ensemble Learning for Software Effort Estimation.

Karishma Doshi, Suyash Shukla, Sandeep Kumar

Proceedings of the 21st International Conference on Evaluation of Novel Approaches to Software Engineering, 2026

2025

An approach to software defect prediction for small-sized datasets.

Pravas Ranjan Bal, Suyash Shukla, Sandeep Kumar

Appl. Intell., April, 2025

PredictPP: A Rank-Based Weighted Ensemble Model for Prediction of Software Project Productivity.

Suyash Shukla, Sandeep Kumar

J. Softw. Evol. Process., 2025

2024

Study of Learning Techniques for Effort Estimation in Object-Oriented Software Development.

Suyash Shukla, Sandeep Kumar

IEEE Trans. Engineering Management, 2024

2023

Towards ensemble-based use case point prediction.

Suyash Shukla, Sandeep Kumar

Softw. Qual. J., September, 2023

Know-UCP: locally weighted linear regression based approach for UCP estimation.

Suyash Shukla, Sandeep Kumar

Appl. Intell., June, 2023

Towards non-linear regression-based prediction of use case point (UCP) metric.

Suyash Shukla, Sandeep Kumar

Appl. Intell., May, 2023

Self-Adaptive Ensemble-based Approach for Software Effort Estimation.

Suyash Shukla, Sandeep Kumar

Proceedings of the IEEE International Conference on Software Analysis, 2023

Towards Automated Prediction of Software Bugs from Textual Description.

Suyash Shukla, Sandeep Kumar

Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering, 2023

2022

Applications of deep learning for phishing detection: a systematic literature review.

Cagatay Catal, Görkem Giray, Bedir Tekinerdogan, Sandeep Kumar, Suyash Shukla

Knowl. Inf. Syst., 2022

2021

A Stacking Ensemble-based Approach for Software Effort Estimation.

Suyash Shukla, Sandeep Kumar

Proceedings of the 16th International Conference on Evaluation of Novel Approaches to Software Engineering, 2021

An Extreme Learning Machine based Approach for Software Effort Estimation.

Suyash Shukla, Sandeep Kumar

Proceedings of the 16th International Conference on Evaluation of Novel Approaches to Software Engineering, 2021

2019

Analyzing Effect of Ensemble Models on Multi-Layer Perceptron Network for Software Effort Estimation.

Suyash Shukla, Sandeep Kumar, Pravas Ranjan Bal

Proceedings of the 2019 IEEE World Congress on Services, 2019

Applicability of Neural Network Based Models for Software Effort Estimation.

Suyash Shukla, Sandeep Kumar

Proceedings of the 2019 IEEE World Congress on Services, 2019

2018

Software Reliability Assessment Using Machine Learning Technique.

Ranjan Kumar Behera, Suyash Shukla, Santanu Kumar Rath, Sanjay Misra

Proceedings of the Computational Science and Its Applications - ICCSA 2018, 2018