Yogesh Singh

97 papers A 1B 8C 1Journal 65Unranked 20
YearRankTypeTitle / Venue / Authors
2023 — conf
A Novel Virtual Reality Paradigm to Assess Gait Response to Visuospatial Perturbation during Walking.
AIR
Smriti Saini, Yogesh Singh, Vineet Vashista
2023 J jnl
Federated Learning on Heterogeneous Data via Adaptive Self-Distillation.
CoRR
M. Yashwanth, Gaurav Kumar Nayak, Arya Singh, Yogesh Singh, Anirban Chakraborty
2023 — conf
Markerless Gait Characterization Using Single Video Camera Setup.
AIR
Arushi Khokhar, Yogesh Singh, Vineet Vashista
2022 J jnl
Effect of External Damping on Ankle Motion During the Swing Phase of Walking.
IEEE Robotics Autom. Lett.
Chinmay Jategaonkar, Yogesh Singh, Vineet Vashista
2022 — conf
Effect of external damping on ankle motion during the swing phase of walking.
BioRob
Chinmay Jategaonkar, Yogesh Singh, Vineet Vashista
2022 J jnl
Throwing Strategy in a Dual-Motor-Task of Aiming at the Bullseye While Walking in Virtual Reality.
IEEE Robotics Autom. Lett.
Yogesh Singh, Sunil K. Agrawal, Vineet Vashista
2022 — conf
Throwing Strategy in a Dual-Motor-Task of Aiming at the Bullseye while Walking in Virtual Reality.
BioRob
Yogesh Singh, Sunil K. Agrawal, Vineet Vashista
2021 — conf
Single-Joint Angle Computation using Inertial Sensors with Feedback on Smartphone.
AIR
Vineet Vashista, Yogesh Singh
2020 — conf
Lower-Limb Strategy Assessment during a Virtual Reality based Dual-Motor-Task.
BioRob
Yogesh Singh, Vinayvivian Rodrigues, Antonio Prado, Sunil K. Agrawal, Vineet Vashista
2019 B conf
Development and Applicability of a Cable-driven Wearable Adaptive Rehabilitation Suit (WeARS).
RO-MAN
S. Srikesh Iyer, Joel V. Joseph, N. S. S. Sanjeevi, Yogesh Singh, Vineet Vashista
2019 B conf
Intention Detection and Gait Recognition (IDGR) System for Gait Assessment: A Pilot Study.
RO-MAN
Yogesh Singh, Manan Kher, Vineet Vashista
2018 — conf
Constructing Influence Trees from Temporal Sequence of Retweets: An Analytical Approach.
IEEE BigData
Ayan Kumar Bhowmick, G. Sai Bharath Chandra, Yogesh Singh, Bivas Mitra
2018 J jnl
Kinematic and dynamic performance investigations of asymmetric (U-shape fixed base) planar parallel manipulators.
Robotica
Jayant Kumar Mohanta, Yogesh Singh, Santhakumar Mohan
2017 — conf
Development of a Planar 3PRP Parallel Manipulator using Shape Memory Alloy Spring based Actuators.
AIR
Yogesh Singh, Santhakumar Mohan
2017 J jnl
Fuzzy inferencing to identify degree of interaction in the development of fault prediction models.
J. King Saud Univ. Comput. Inf. Sci.
Rinkaj Goyal, Pravin Chandra, Yogesh Singh
2016 J jnl
A novel requirements engineering approach for designing data warehouses.
Int. J. Syst. Assur. Eng. Manag.
Manoj Kumar, Anjana Gosain, Yogesh Singh
2016 J jnl
Performance investigations on optimum mechanical design aspects of planar parallel manipulators.
Adv. Robotics
Yogesh Singh, Mohan Santhakumar
2015 — conf
A robust task space position tracking control of an underwater vehicle manipulator system.
AIR
Santhakumar Mohan, Jinwhan Kim, Yogesh Singh
2015 J jnl
Automated Expected Output Generation: Is this a Problem that has been solved?
ACM SIGSOFT Softw. Eng. Notes
Yogesh Singh
2015 — conf
Comparative kinematic and dynamic performance analysis of planar parallel manipulators.
AIR
Yogesh Singh, Mohan Santhakumar
2015 J jnl
Review and extension of fault class hierarchy for testing Boolean specification.
Int. J. Comput. Appl. Technol.
Pravin Chandra, R. K. Singh, Yogesh Singh
2014 J jnl
A comparative study of models for predicting fault proneness in object-oriented systems.
Int. J. Comput. Appl. Technol.
Yogesh Singh, Arvinder Kaur, Ruchika Malhotra
2014 J jnl
Empirical validation of structural metrics for predicting understandability of conceptual schemas for data warehouse.
Int. J. Syst. Assur. Eng. Manag.
Manoj Kumar, Anjana Gosain, Yogesh Singh
2014 — conf
On the applicability of evolutionary computation for software defect prediction.
ICACCI
Ruchika Malhotra, Nakul Pritam, Yogesh Singh
2014 J jnl
Why interaction between metrics should be considered in the development of software quality models: a preliminary study.
ACM SIGSOFT Softw. Eng. Notes
Rinkaj Goyal, Pravin Chandra, Yogesh Singh
2013 J jnl
A study on software reliability prediction models using soft computing techniques.
Int. J. Inf. Commun. Technol.
Pradeep Kumar, Yogesh Singh
2013 J jnl
Comparative analysis of software reliability predictions using statistical and machine learning methods.
Int. J. Intell. Syst. Technol. Appl.
Pradeep Kumar, Yogesh Singh
2012 J jnl
An empirical study of software reliability prediction using machine learning techniques.
Int. J. Syst. Assur. Eng. Manag.
Pradeep Kumar, Yogesh Singh
2012 J jnl
Assessment of software testing time using soft computing techniques.
ACM SIGSOFT Softw. Eng. Notes
Pradeep Kumar, Yogesh Singh
2012 J jnl
Prediction of testability using the design metrics for object-oriented software.
Int. J. Comput. Appl. Technol.
Yogesh Singh, Anju Saha
2012 J jnl
Systematic Literature Review on Regression Test Prioritization Techniques.
Informatica (Slovenia)
Yogesh Singh, Arvinder Kaur, Bharti Suri, Shweta Singhal
2011 J jnl
Quality-oriented requirements engineering for a data warehouse.
ACM SIGSOFT Softw. Eng. Notes
Manoj Kumar, Anjana Gosain, Yogesh Singh
2011 J jnl
Radial basis function neural network based approach to test oracle.
ACM SIGSOFT Softw. Eng. Notes
Omprakash Sangwan, Pradeep Kumar Bhatia, Yogesh Singh
2011 J jnl
Software reusability assessment using soft computing techniques.
ACM SIGSOFT Softw. Eng. Notes
Yogesh Singh, Pradeep Kumar Bhatia, Omprakash Sangwan
2010 J jnl
A Dynamic Approach to Estimate Change Impact using Type of Change Propagation.
J. Inf. Process. Syst.
Chetna Gupta, Yogesh Singh, Durg Singh Chauhan
2010 J jnl
A Hybrid Approach for Regression Testing in Interprocedural Program.
J. Inf. Process. Syst.
Yogesh Singh, Arvinder Kaur, Bharti Suri
2010 J jnl
A Regression Test Selection and Prioritization Technique.
J. Inf. Process. Syst.
Ruchika Malhotra, Arvinder Kaur, Yogesh Singh
2010 J jnl
An Optimized Approach of Fault Distribution for Debugging in Parallel.
J. Inf. Process. Syst.
Maneesha Srivasatav, Yogesh Singh, Durg Singh Chauhan
2010 J jnl
Application of feed-forward neural networks for software reliability prediction.
ACM SIGSOFT Softw. Eng. Notes
Yogesh Singh, Pradeep Kumar
2010 J jnl
Empirical validation of object-oriented metrics for predicting fault proneness at different severity levels using support vector machines.
Int. J. Syst. Assur. Eng. Manag.
Ruchika Malhotra, Arvinder Kaur, Yogesh Singh
2010 J jnl
Empirical validation of object-oriented metrics for predicting fault proneness models.
Softw. Qual. J.
Yogesh Singh, Arvinder Kaur, Ruchika Malhotra
2010 J jnl
Improving the testability of object oriented software through software contracts.
ACM SIGSOFT Softw. Eng. Notes
Yogesh Singh, Anju Saha
2010 J jnl
Predicting Software Development Effort Using Artificial Neural Network.
Int. J. Softw. Eng. Knowl. Eng.
Yogesh Singh, Arvinder Kaur, Pradeep Kumar Bhatia, Omprakash Sangwan
2010 J jnl
Stakeholders Driven Requirements Engineering Approach for Data Warehouse Development.
J. Inf. Process. Syst.
Manoj Kumar, Anjana Gosain, Yogesh Singh
2010 J jnl
Test case prioritization using ant colony optimization.
ACM SIGSOFT Softw. Eng. Notes
Yogesh Singh, Arvinder Kaur, Bharti Suri
2009 J jnl
ANN model for predicting software function point metric.
ACM SIGSOFT Softw. Eng. Notes
Yogesh Singh, Pradeep Kumar Bhatia, Omprakash Sangwan
2009 J jnl
Agent oriented requirements engineering for a data warehouse.
ACM SIGSOFT Softw. Eng. Notes
Manoj Kumar, Anjana Gosain, Yogesh Singh
2009 J jnl
An Efficient Dynamic Impact Analysis using Definition and Usage Information.
J. Digit. Content Technol. its Appl.
Chetna Gupta, Yogesh Singh, Durg Singh Chauhan
2009 — conf
Application of Neural Networks in Software Engineering: A Review.
ICISTM
Yogesh Singh, Pradeep Kumar Bhatia, Arvinder Kaur, Omprakash Sangwan
2009 J jnl
Application of support vector machine to predict fault prone classes.
ACM SIGSOFT Softw. Eng. Notes
Yogesh Singh, Arvinder Kaur, Ruchika Malhotra
2009 — conf
Comparative Analysis of Decision Trees with Logistic Regression in Predicting Fault-Prone Classes.
ICISTM
Yogesh Singh, Arvinder Kaur, Ruchika Malhotra
2009 J jnl
Comparative analysis of regression and machine learning methods for predicting fault proneness models.
Int. J. Comput. Appl. Technol.
Yogesh Singh, Arvinder Kaur, Ruchika Malhotra
2009 J jnl
Empirical Validation of Variable based Test Case Prioritization/Selection Technique.
J. Digit. Content Technol. its Appl.
Yogesh Singh, Arvinder Kaur, Bharti Suri
2009 J jnl
Empirical analysis for investigating the effect of object-oriented metrics on fault proneness: a replicated case study.
Softw. Process. Improv. Pract.
K. K. Aggarwal, Yogesh Singh, Arvinder Kaur, Ruchika Malhotra
2009 — conf
From Early Requirements to Late Requirements Modeling for a Data Warehouse.
NCM
Yogesh Singh, Anjana Gosain, Manoj Kumar
2009 J jnl
Predicting software maintenance using fuzzy model.
ACM SIGSOFT Softw. Eng. Notes
Yogesh Singh, Pradeep Kumar Bhatia, Omprakash Sangwan
2009 B conf
Prediction of Software Quality Model Using Gene Expression Programming.
PROFES
Yogesh Singh, Arvinder Kaur, Ruchika Malhotra
2008 B conf
A Metric-Based Approach to Assess Class Testability.
XP
Yogesh Singh, Anju Saha
2008 — ch.
An Empirical Study of Product Metrics in Software Testing.
Innovative Techniques in Instruction Technology, E-learning, E-assessment, and Education
Yogesh Singh, Arvinder Kaur, Bharti Suri
2008 — ch.
Empirical Investigation of Metrics for Fault Prediction on Object-Oriented Software.
Computer and Information Science
Bindu Goel, Yogesh Singh
2008 — conf
Enhancing Data Flow Testing of Classes through Design by Contract.
ACIS-ICIS
Yogesh Singh, Anju Saha
2008 — conf
Evaluation of Agent Oriented Requirements Engineering Frameworks.
CSSE (2)
Yogesh Singh, Anjana Gosain, Manoj Kumar
2008 B conf
Predicting Software Fault Proneness Model Using Neural Network.
PROFES
Yogesh Singh, Arvinder Kaur, Ruchika Malhotra
2008 B conf
Predicting Software Fault Proneness Model Using Neural Network.
XP
Yogesh Singh, Arvinder Kaur, Ruchika Malhotra
2007 J jnl
A step towards software preventive maintenance.
ACM SIGSOFT Softw. Eng. Notes
Yogesh Singh, Bindu Goel
2007 — conf
Application of Logistic Regression and Artificial Neural Network for Predicting Software Quality Models.
Software Engineering Research and Practice
Yogesh Singh, Arvinder Kaur, Ruchika Malhotra
2007 J jnl
Investigating effect of Design Metrics on Fault Proneness in Object-Oriented Systems.
J. Object Technol.
K. K. Aggarwal, Yogesh Singh, Arvinder Kaur, Ruchika Malhotra
2007 J jnl
Software Design Metrics for Object-Oriented Software.
J. Object Technol.
K. K. Aggarwal, Yogesh Singh, Arvinder Kaur, Ruchika Malhotra
2006 J jnl
An evaluation of Boolean expression testing techniques.
ACM SIGSOFT Softw. Eng. Notes
R. K. Singh, Pravin Chandra, Yogesh Singh
2006 J jnl
Empirical Study of Object-Oriented Metrics.
J. Object Technol.
K. K. Aggarwal, Yogesh Singh, Arvinder Kaur, Ruchika Malhotra
2006 — conf
Quantification Criteria for Optimization of Modules in OO Design.
Software Engineering Research and Practice
Pradeep Kumar Bhatia, Yogesh Singh
2005 J jnl
An expert committee model to estimate lines of code.
ACM SIGSOFT Softw. Eng. Notes
K. K. Aggarwal, Yogesh Singh, Pravin Chandra, Manimala Puri
2005 J jnl
Evaluation of various training algorithms in a neural network model for software engineering applications.
ACM SIGSOFT Softw. Eng. Notes
K. K. Aggarwal, Yogesh Singh, Pravin Chandra, Manimala Puri
2005 J jnl
Sensitivity analysis of fuzzy and neural network models.
ACM SIGSOFT Softw. Eng. Notes
K. K. Aggarwal, Yogesh Singh, Pravin Chandra, Manimala Puri
2005 C conf
Software Reuse Metrics for Object-Oriented Systems.
SERA
K. K. Aggarwal, Yogesh Singh, Arvinder Kaur, Ruchika Malhotra
2004 — conf
A Step towards the Requirements Model Metric Suite.
CCCT (2)
Manu Sood, Sangeeta Sabharwal, Yogesh Singh
2004 J jnl
A case for the self-adaptation of activation functions in FFANNs.
Neurocomputing
Pravin Chandra, Yogesh Singh
2004 — conf
A model for corrective maintenance time prediction using neural network.
IASTED Conf. on Software Engineering and Applications
Yogesh Singh, Bindu Goel, Pravin Chandra
2004 J jnl
A neural net based approach to Test Oracle.
ACM SIGSOFT Softw. Eng. Notes
K. K. Aggarwal, Yogesh Singh, Arvinder Kaur, Omprakash Sangwan
2004 J jnl
An activation function adapting training algorithm for sigmoidal feedforward networks.
Neurocomputing
Pravin Chandra, Yogesh Singh
2004 J jnl
Code coverage based technique for prioritizing test cases for regression testing.
ACM SIGSOFT Softw. Eng. Notes
K. K. Aggarwal, Yogesh Singh, Arvinder Kaur
2004 J jnl
Feedforward sigmoidal networks - equicontinuity and fault-tolerance properties.
IEEE Trans. Neural Networks
Pravin Chandra, Yogesh Singh
2004 A conf
Informational Scenarios for Data Warehouse Requirements Elicitation.
ER
Naveen Prakash, Yogesh Singh, Anjana Gosain
2004 J jnl
Measurement of object-oriented software spatial complexity.
Inf. Softw. Technol.
Jitender Kumar Chhabra, K. K. Aggarwal, Yogesh Singh
2004 J jnl
Source distribution models for blind source separation.
Neurocomputing
Chandra Shekhar Rai, Yogesh Singh
2003 J jnl
A dynamic software metric and debugging tool.
ACM SIGSOFT Softw. Eng. Notes
K. K. Aggarwal, Yogesh Singh, Jitender Kumar Chhabra
2003 J jnl
A simplified approach to independent component analysis.
Neural Comput. Appl.
Yogesh Singh, Chandra Shekhar Rai
2003 J jnl
Code and data spatial complexity: two important software understandability measures.
Inf. Softw. Technol.
Jitender Kumar Chhabra, K. K. Aggarwal, Yogesh Singh
2003 B conf
Fault tolerance of feedforward artificial neural networks- a framework of study.
IJCNN
Pravin Chandra, Yogesh Singh
2003 B conf
Regularization and Feedforward artificial neural network training with noise.
IJCNN
Pravin Chandra, Yogesh Singh
2002 J jnl
Blind source separation: a unified approach.
Neurocomputing
Yogesh Singh, Chandra Shekhar Rai
2002 J jnl
Computing program weakness using module coupling.
ACM SIGSOFT Softw. Eng. Notes
K. K. Aggarwal, Yogesh Singh, Jitender Kumar Chhabra
2000 J jnl
Suitability assessment of software developers: a fuzzy approach.
ACM SIGSOFT Softw. Eng. Notes
Anu Singh Lather, Shakti Kumar, Yogesh Singh
1998 J jnl
Module weakness: a new measure.
ACM SIGSOFT Softw. Eng. Notes
Yogesh Singh, Pradeep Kumar Bhatia
1998 J jnl
Module weakness: a new measure.
ACM SIGSOFT Softw. Eng. Notes
Yogesh Singh, Pradeep Kumar Bhatia
1995 J jnl
Software reliability apportionment using the analytic hierarchy process.
ACM SIGSOFT Softw. Eng. Notes
K. K. Aggarwal, Yogesh Singh
1994 J jnl
A modified form of software science measures.
ACM SIGSOFT Softw. Eng. Notes
K. K. Aggarwal, Yogesh Singh