Santosh Singh Rathore

According to our database, Santosh Singh Rathore authored at least 50 papers between 2012 and 2024.

Collaborative distances:

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

2024

The impact of GitHub on students' learning and engagement in a software engineering course.

Prutha Patani, Saurabh Tiwari, Santosh Singh Rathore

Comput. Appl. Eng. Educ., September, 2024

ME-SFP: A Mixture-of-Experts-Based Approach for Software Fault Prediction.

Aman Omer, Santosh Singh Rathore, Sandeep Kumar

IEEE Trans. Reliab., March, 2024

A Hierarchical Attention Networks based Model for Bug Report Prioritization.

Anurag Yadav, Santosh Singh Rathore

Proceedings of the 17th Innovations in Software Engineering Conference, 2024

Workshop Report on Emerging Software Engineering Education.

Santosh Singh Rathore, Saurabh Tiwari, Sheikh Umar Farooq

Proceedings of the 17th Innovations in Software Engineering Conference, 2024

2023

Implicit and explicit mixture of experts models for software defect prediction.

Aditya Shankar Mishra, Santosh Singh Rathore

Softw. Qual. J., December, 2023

An approach to occluded face recognition based on dynamic image-to-class warping using structural similarity index.

Shadab Naseem, Santosh Singh Rathore, Sandeep Kumar, Sugata Gangopadhyay, Ankita Jain

Appl. Intell., December, 2023

An attention-based deep learning model for credibility assessment of online health information.

Swarup Padhy, Santosh Singh Rathore

Comput. Intell., October, 2023

TextConvoNet: a convolutional neural network based architecture for text classification.

Sanskar Soni, Satyendra Singh Chouhan, Santosh Singh Rathore

Appl. Intell., June, 2023

Feature selection and clustering based web service selection using QoSs.

Lalit Purohit, Santosh Singh Rathore, Sandeep Kumar

Appl. Intell., June, 2023

A QoS-Aware Clustering Based Multi-Layer Model for Web Service Selection.

Lalit Purohit, Santosh Singh Rathore, Sandeep Kumar

IEEE Trans. Serv. Comput., 2023

Causal effect analysis-based intrusion detection system for IoT applications.

Srividya Bhaskara, Santosh Singh Rathore

Int. J. Inf. Sec., 2023

Open-world Machine Learning: Applications, Challenges, and Opportunities.

Jitendra Parmar, Satyendra Singh Chouhan, Vaskar Raychoudhury, Santosh Singh Rathore

ACM Comput. Surv., 2023

A Report on the Fifth Workshop on Emerging Software Engineering Education (WESEE 2023).

Saurabh Tiwari, Sheikh Umar Farooq, Santosh Singh Rathore

Proceedings of the 16th Innovations in Software Engineering Conference, 2023

Fast Similarity Search in Large-Scale Iris Databases Using High-Dimensional Hashing.

Abhishek Pratap Singh, Debanjan Sadhya, Santosh Singh Rathore

Proceedings of the Big Data and Artificial Intelligence - 11th International Conference, 2023

2022

Towards a super-resolution based approach for improved face recognition in low resolution environment.

Nalin Singh, Santosh Singh Rathore, Sandeep Kumar

Multim. Tools Appl., November, 2022

Securing multimedia videos using space-filling curves.

Debanjan Sadhya, Santosh Singh Rathore, Amitesh Singh Rajput, Abhinav Anand

Multim. Tools Appl., November, 2022

Generative Oversampling Methods for Handling Imbalanced Data in Software Fault Prediction.

Santosh Singh Rathore, Satyendra Singh Chouhan, Dixit Kumar Jain, Aakash Gopal Vachhani

IEEE Trans. Reliab., 2022

Predictive modeling for suspicious content identification on Twitter.

Surendra Singh Gangwar, Santosh Singh Rathore, Satyendra Singh Chouhan, Sanskar Soni

Soc. Netw. Anal. Min., 2022

Linear and non-linear bayesian regression methods for software fault prediction.

Rohit Singh, Santosh Singh Rathore

Int. J. Syst. Assur. Eng. Manag., 2022

Understanding general concepts of requirements engineering through design thinking: An experimental study with students.

Saurabh Tiwari, Santosh Singh Rathore

Comput. Appl. Eng. Educ., 2022

How Students Are Using GitHub? A Survey.

Saurabh Tiwari, Santosh Singh Rathore, Sheikh Umar Farooq, Prutha Patani

Proceedings of the ISEC 2022: 15th Innovations in Software Engineering Conference, Gandhinagar, India, February 24, 2022

A Deep Learning Based Approach to Automate Clinical Coding of Electronic Health Records.

Ashutosh Kumar, Santosh Singh Rathore

Proceedings of the Big Data Analytics - 10th International Conference, 2022

2021

Generative Adversarial Networks-Based Imbalance Learning in Software Aging-Related Bug Prediction.

Satyendra Singh Chouhan, Santosh Singh Rathore

IEEE Trans. Reliab., 2021

An exploratory analysis of regression methods for predicting faults in software systems.

Santosh Singh Rathore

Soft Comput., 2021

Open-world Machine Learning: Applications, Challenges, and Opportunities.

Jitendra Parmar, Satyendra Singh Chouhan, Santosh Singh Rathore

CoRR, 2021

Software fault prediction based on the dynamic selection of learning technique: findings from the eclipse project study.

Santosh Singh Rathore, Sandeep Kumar

Appl. Intell., 2021

An empirical study of ensemble techniques for software fault prediction.

Santosh Singh Rathore, Sandeep Kumar

Appl. Intell., 2021

A Report on the Fourth Workshop on Emerging Software Engineering Education (WESEE 2021).

Saurabh Tiwari, Sheikh Umar Farooq, Santosh Singh Rathore

Proceedings of the ISEC 2021: 14th Innovations in Software Engineering Conference, 2021

2020

Identifying Use Case Elements from Textual Specification: A Preliminary Study.

Saurabh Tiwari, Santosh Singh Rathore, Shreya Sagar, Yash Mirani

Proceedings of the 28th IEEE International Requirements Engineering Conference, 2020

A Report on the Third Workshop on Emerging Software Engineering Education (WESEE 2020).

Saurabh Tiwari, Sheikh Umar Farooq, Paramvir Singh, Santosh Singh Rathore

Proceedings of the ISEC 2020: 13th Innovations in Software Engineering Conference, 2020

Authorship Identification Using Stylometry and Document Fingerprinting.

Shubham Yadav, Santosh Singh Rathore, Satyendra Singh Chouhan

Proceedings of the Big Data Analytics - 8th International Conference, 2020

A Report on the First Workshop on Natural Language Processing Advancements for Software Engineering (NLPaSE) co-located with APSEC 2020 (short paper).

Saurabh Tiwari, Santosh Singh Rathore, Lata Nautiyal, Ravindra Singh

Proceedings of the Joint Proceedings of SEED & NLPaSE co-located with 27th Asia Pacific Software Engineering Conference 2020, 2020

2019

Fault Prediction Modeling for the Prediction of Number of Software Faults

Santosh Singh Rathore, Sandeep Kumar

Springer Briefs in Computer Science, Springer, ISBN: 978-981-13-7130-1, 2019

An Approach for the Prediction of Number of Software Faults Based on the Dynamic Selection of Learning Techniques.

Santosh Singh Rathore, Sandeep Kumar

IEEE Trans. Reliab., 2019

A study on software fault prediction techniques.

Santosh Singh Rathore, Sandeep Kumar

Artif. Intell. Rev., 2019

Teaching Software Process Models to Software Engineering Students: An Exploratory Study.

Saurabh Tiwari, Santosh Singh Rathore

Proceedings of the 26th Asia-Pacific Software Engineering Conference, 2019

2018

Software Fault Prediction - A Road Map

Sandeep Kumar, Santosh Singh Rathore

Springer Briefs in Computer Science, Springer, ISBN: 978-981-10-8714-1, 2018

Coupling and Cohesion Metrics for Object-Oriented Software: A Systematic Mapping Study.

Saurabh Tiwari, Santosh Singh Rathore

Proceedings of the 11th Innovations in Software Engineering Conference, ISEC 2018, Hyderabad, India, February 09, 2018

2017

An empirical study of some software fault prediction techniques for the number of faults prediction.

Santosh Singh Rathore, Sandeep Kumar

Soft Comput., 2017

Linear and non-linear heterogeneous ensemble methods to predict the number of faults in software systems.

Santosh Singh Rathore, Sandeep Kumar

Knowl. Based Syst., 2017

Towards an ensemble based system for predicting the number of software faults.

Santosh Singh Rathore, Sandeep Kumar

Expert Syst. Appl., 2017

A Methodology for the Selection of Requirement Elicitation Techniques.

Saurabh Tiwari, Santosh Singh Rathore

CoRR, 2017

A decision tree logic based recommendation system to select software fault prediction techniques.

Santosh Singh Rathore, Sandeep Kumar

Computing, 2017

2016

A Decision Tree Regression based Approach for the Number of Software Faults Prediction.

Santosh Singh Rathore, Sandeep Kumar

ACM SIGSOFT Softw. Eng. Notes, 2016

Ensemble methods for the prediction of number of faults: A study on eclipse project.

Santosh Singh Rathore, Sandeep Kumar

Proceedings of the 11th International Conference on Industrial and Information Systems, 2016

2015

Predicting Number of Faults in Software System using Genetic Programming.

Santosh Singh Rathore, Sandeep Kumar

Proceedings of the 2015 International Conference on Soft Computing and Software Engineering, 2015

2014

A comparative study of feature-ranking and feature-subset selection techniques for improved fault prediction.

Santosh Singh Rathore, Atul Gupta

Proceedings of the 7th India Software Engineering Conference, Chennai, 2014

2012

Analysis of Use Case Requirements Using SFTA and SFMEA Techniques.

Saurabh Tiwari, Santosh Singh Rathore, Sudhanshu Gupta, Gogate Vaibhav Vinayak, Atul Gupta

Proceedings of the 17th IEEE International Conference on Engineering of Complex Computer Systems, 2012

An Approach to Generate Actor-Oriented Activity Charts from Use Case Requirements.

Saurabh Tiwari, Santosh Singh Rathore, Abhijeet Singh, Abhinav Singh, Atul Gupta

Proceedings of the 19th Asia-Pacific Software Engineering Conference, 2012

Validating the Effectiveness of Object-Oriented Metrics over Multiple Releases for Predicting Fault Proneness.

Santosh Singh Rathore, Atul Gupta

Proceedings of the 19th Asia-Pacific Software Engineering Conference, 2012