Validating the Effectiveness of Object-Oriented Metrics over Multiple Releases for Predicting Fault Proneness. - Santosh Singh Rathore; Atul Gupta (APSEC, 2012)

An Approach to Generate Actor-Oriented Activity Charts from Use Case Requirements. - Saurabh Tiwari 001; Santosh Singh Rathore; Abhijeet Singh; Abhinav Singh; Atul Gupta (APSEC, 2012)

Analysis of Use Case Requirements Using SFTA and SFMEA Techniques. - Saurabh Tiwari 001; Santosh Singh Rathore; Sudhanshu Gupta 001; Gogate Vaibhav Vinayak; Atul Gupta (ICECCS, 2012)

A comparative study of feature-ranking and feature-subset selection techniques for improved fault prediction. - Santosh Singh Rathore; Atul Gupta (ISEC, 2014)

Predicting Number of Faults in Software System using Genetic Programming. - Santosh Singh Rathore; Sandeep Kumar 004 (SCSE, 2015)

Ensemble methods for the prediction of number of faults: A study on eclipse project. - Santosh Singh Rathore; Sandeep Kumar 004 (ICIIS, 2016)

A Decision Tree Regression based Approach for the Number of Software Faults Prediction. - Santosh Singh Rathore; Sandeep Kumar 004 (ACM SIGSOFT Softw. Eng. Notes, 2016)

A decision tree logic based recommendation system to select software fault prediction techniques. - Santosh Singh Rathore; Sandeep Kumar 004 (Computing, 2017)

A Methodology for the Selection of Requirement Elicitation Techniques. - Saurabh Tiwari 001; Santosh Singh Rathore (CoRR, 2017)

Towards an ensemble based system for predicting the number of software faults. - Santosh Singh Rathore; Sandeep Kumar 004 (Expert Syst. Appl., 2017)

Linear and non-linear heterogeneous ensemble methods to predict the number of faults in software systems. - Santosh Singh Rathore; Sandeep Kumar 004 (Knowl. Based Syst., 2017)

An empirical study of some software fault prediction techniques for the number of faults prediction. - Santosh Singh Rathore; Sandeep Kumar 004 (Soft Comput., 2017)

Coupling and Cohesion Metrics for Object-Oriented Software: A Systematic Mapping Study. - Saurabh Tiwari 001; Santosh Singh Rathore (ISEC, 2018)

Software Fault Prediction - A Road Map - Sandeep Kumar 004; Santosh Singh Rathore (Springer, 2018)

Teaching Software Process Models to Software Engineering Students: An Exploratory Study. - Saurabh Tiwari 001; Santosh Singh Rathore (APSEC, 2019)

A study on software fault prediction techniques. - Santosh Singh Rathore; Sandeep Kumar 004 (Artif. Intell. Rev., 2019)

An Approach for the Prediction of Number of Software Faults Based on the Dynamic Selection of Learning Techniques. - Santosh Singh Rathore; Sandeep Kumar 004 (IEEE Trans. Reliab., 2019)

Fault Prediction Modeling for the Prediction of Number of Software Faults - Santosh Singh Rathore; Sandeep Kumar 004 (Springer, 2019)

A Report on the First Workshop on Natural Language Processing Advancements for Software Engineering (NLPaSE) co-located with APSEC 2020 (short paper). - Saurabh Tiwari 001; Santosh Singh Rathore; Lata Nautiyal; Ravindra Singh (SEED/NLPaSE@APSEC, 2020)

Authorship Identification Using Stylometry and Document Fingerprinting. - Shubham Yadav; Santosh Singh Rathore; Satyendra Singh Chouhan (BDA, 2020)

A Report on the Third Workshop on Emerging Software Engineering Education (WESEE 2020). - Saurabh Tiwari 001; Sheikh Umar Farooq; Paramvir Singh; Santosh Singh Rathore (ISEC, 2020)

Identifying Use Case Elements from Textual Specification: A Preliminary Study. - Saurabh Tiwari 001; Santosh Singh Rathore; Shreya Sagar; Yash Mirani (RE, 2020)

A Report on the Fourth Workshop on Emerging Software Engineering Education (WESEE 2021). - Saurabh Tiwari 001; Sheikh Umar Farooq; Santosh Singh Rathore (ISEC, 2021)

An empirical study of ensemble techniques for software fault prediction. - Santosh Singh Rathore; Sandeep Kumar 004 (Appl. Intell., 2021)

Software fault prediction based on the dynamic selection of learning technique: findings from the eclipse project study. - Santosh Singh Rathore; Sandeep Kumar 004 (Appl. Intell., 2021)

Open-world Machine Learning: Applications, Challenges, and Opportunities. - Jitendra Parmar; Satyendra Singh Chouhan; Santosh Singh Rathore (CoRR, 2021)

An exploratory analysis of regression methods for predicting faults in software systems. - Santosh Singh Rathore (Soft Comput., 2021)

Generative Adversarial Networks-Based Imbalance Learning in Software Aging-Related Bug Prediction. - Satyendra Singh Chouhan; Santosh Singh Rathore (IEEE Trans. Reliab., 2021)

A Deep Learning Based Approach to Automate Clinical Coding of Electronic Health Records. - Ashutosh Kumar; Santosh Singh Rathore (BDA, 2022)

How Students Are Using GitHub? A Survey. - Saurabh Tiwari 001; Santosh Singh Rathore; Sheikh Umar Farooq; Prutha Patani (ISEC, 2022)

Understanding general concepts of requirements engineering through design thinking: An experimental study with students. - Saurabh Tiwari 001; Santosh Singh Rathore (Comput. Appl. Eng. Educ., 2022)

Linear and non-linear bayesian regression methods for software fault prediction. - Rohit Singh; Santosh Singh Rathore (Int. J. Syst. Assur. Eng. Manag., 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)

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)

Securing multimedia videos using space-filling curves. - Debanjan Sadhya; Santosh Singh Rathore; Amitesh Singh Rajput; Abhinav Anand (Multim. Tools Appl., 2022)

Towards a super-resolution based approach for improved face recognition in low resolution environment. - Nalin Singh; Santosh Singh Rathore; Sandeep Kumar 004 (Multim. Tools Appl., 2022)

Fast Similarity Search in Large-Scale Iris Databases Using High-Dimensional Hashing. - Abhishek Pratap Singh; Debanjan Sadhya; Santosh Singh Rathore (BDA, 2023)

Polarity Prediction Using Automatic Semantic Analysis on User Comments. - Shivam Doharey; Harsh Goswami; Santosh Singh Rathore (CVMI, 2023)

Detection Analysis of Diabetic Retinopathy Using Modified DensNet-121. - Gaddam Pranay; Oshin Misra; Surabhi Mishra; Santosh Singh Rathore; Mahua Bhattacharya (CVMI, 2023)

Weed Detection Using AlexN et in Sesame Crops. - Devshri Satyarthi; K. V. Arya; Santosh Singh Rathore (CVMI, 2023)

Fuzzy Inference-Based Models for Extractive Text Summarization. - Gagandeep Singh; Bhavana Mekala; Nelluri Pavithra Sai Lakshmi; Santosh Singh Rathore (CVMI, 2023)

A Report on the Fifth Workshop on Emerging Software Engineering Education (WESEE 2023). - Saurabh Tiwari 001; Sheikh Umar Farooq; Santosh Singh Rathore (ISEC, 2023)

Open-world Machine Learning: Applications, Challenges, and Opportunities. - Jitendra Parmar; Satyendra Singh Chouhan; Vaskar Raychoudhury; Santosh Singh Rathore (ACM Comput. Surv., 2023)

Causal effect analysis-based intrusion detection system for IoT applications. - Srividya Bhaskara; Santosh Singh Rathore (Int. J. Inf. Sec., 2023)

A QoS-Aware Clustering Based Multi-Layer Model for Web Service Selection. - Lalit Purohit; Santosh Singh Rathore; Sandeep Kumar 004 (IEEE Trans. Serv. Comput., 2023)

Feature selection and clustering based web service selection using QoSs. - Lalit Purohit; Santosh Singh Rathore; Sandeep Kumar 004 (Appl. Intell., 2023)

TextConvoNet: a convolutional neural network based architecture for text classification. - Sanskar Soni; Satyendra Singh Chouhan; Santosh Singh Rathore (Appl. Intell., 2023)

An attention-based deep learning model for credibility assessment of online health information. - Swarup Padhy; Santosh Singh Rathore (Comput. Intell., 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 004; Sugata Gangopadhyay; Ankita Jain (Appl. Intell., 2023)

Implicit and explicit mixture of experts models for software defect prediction. - Aditya Shankar Mishra; Santosh Singh Rathore (Softw. Qual. J., 2023)

Evaluating Deep Learning Embedding Techniques for Code Smell Detection. - Praveen Singh Thakur; Mahipal Jadeja; Satyendra Singh Chouhan; Santosh Singh Rathore (BDA, 2024)

Workshop Report on Emerging Software Engineering Education. - Santosh Singh Rathore; Saurabh Tiwari 001; Sheikh Umar Farooq (ISEC, 2024)

A Hierarchical Attention Networks based Model for Bug Report Prioritization. - Anurag Yadav; Santosh Singh Rathore (ISEC, 2024)

ME-SFP: A Mixture-of-Experts-Based Approach for Software Fault Prediction. - Aman Omer; Santosh Singh Rathore; Sandeep Kumar 004 (IEEE Trans. Reliab., 2024)

The impact of GitHub on students' learning and engagement in a software engineering course. - Prutha Patani; Saurabh Tiwari 001; Santosh Singh Rathore (Comput. Appl. Eng. Educ., 2024)

Beyond Text: Multimodal Credibility Assessment Approaches for Online User-Generated Content. - Monika Choudhary; Satyendra Singh Chouhan; Santosh Singh Rathore (ACM Trans. Intell. Syst. Technol., 2024)

Seventh Workshop on Emerging Software Engineering Education(WESEE 2025). - Santosh Singh Rathore; Saurabh Tiwari 001; Sheikh Umar Singh Farooq (ISEC, 2025)

ATE-FS: An Average Treatment Effect-Based Feature Selection Technique for Software Fault Prediction. - Akshat Mangal; Santosh Singh Rathore (ACM Trans. Intell. Syst. Technol., 2025)