Y. Singh

发表

A class +1 sigmoidal activation functions for FFANNs

Y. Singh, Pravin Chandra, 2003 .

Code coverage based technique for prioritizing test cases for regression testing

K. K. Aggarwal, Arvinder Kaur, Yogesh Singh, 2004, SOEN.

Determination of Software Release Instant of Three-Tier Client Server Software System

Yogesh Singh, Y. Singh, 2010 .

A Systematic Approach to Measure the Problem Complexity of Software Requirement Specifications of an Information System

Sangeeta Sabharwal, Yogesh Singh, Manu Sood, 2004 .

Software Defects and Object Oriented Metrics-An Empirical Analysis

Kadhim M. Breesam, K. Agarwal, Y. Singh, 2019 .

Regression Test Selection and Prioritization Using Variables - Analysis and Experimentation

Arvinder Kaur, Bharti Suri, Yogesh Singh, 2009 .

APPLICATION OF ARTIFICIAL NEURAL NETWORKS FOR ASSESSING THE TESTABILITY OF OBJECT ORIENTED SOFTWARE

Y. Singh, A. Saha, 2012 .

Generation of mutants for boolean expression

Y. Singh, Pravin Chandra, R. K. Singh, 2008 .

A model for corrective maintenance time prediction using neural network

Yogesh Singh, Pravin Chandra, Bindu Goel, 2004, IASTED Conf. on Software Engineering and Applications.

Empirical analysis for investigating the effect of object-oriented metrics on fault proneness: a replicated case study

K. K. Aggarwal, Arvinder Kaur, Ruchika Malhotra, 2009, Softw. Process. Improv. Pract..

Comparison of M5’ Model Tree with MLR in the Development of Fault Prediction Models Involving Interaction Between Metrics

Yogesh Singh, Pravin Chandra, Rinkaj Goyal, 2015 .

Software Fault Proneness Prediction Using Support Vector Machines

Arvinder Kaur, Ruchika Malhotra, Yogesh Singh, 2009 .

A comparative study of models for predicting fault proneness in object-oriented systems

Arvinder Kaur, Yogesh Singh, Ruchika Malhotra, 2014, Int. J. Comput. Appl. Technol..

On the Applicability of Machine Learning Techniques for Object Oriented Software Fault Prediction

Y. Singh, R. Malhotra, 2011 .

Prediction of Fault-Prone Software Modules using Statistical and Machine Learning Methods

Arvinder Kaur, Ruchika Malhotra, Yogesh Singh, 2010 .

Comparative analysis of regression and machine learning methods for predicting fault proneness models

Arvinder Kaur, Ruchika Malhotra, Yogesh Singh, 2009, Int. J. Comput. Appl. Technol..

Empirical validation of object-oriented metrics for predicting fault proneness models

Arvinder Kaur, Ruchika Malhotra, Yogesh Singh, 2010, Software Quality Journal.

Suitability of KNN Regression in the Development of Interaction based Software Fault Prediction Models

Yogesh Singh, Pravin Chandra, Rinkaj Goyal, 2014 .

An activation function adapting training algorithm for sigmoidal feedforward networks

Yogesh Singh, Pravin Chandra, Y. Singh, 2004, Neurocomputing.

Sigmoidal FFANN’s and the best approximation property

Yogesh Singh, Pravin Chandra, Y. Singh, 2005 .

Sensitivity analysis of fuzzy and neural network models

K. K. Aggarwal, Yogesh Singh, Pravin Chandra, 2005, ACM SIGSOFT Softw. Eng. Notes.

Comparative analysis of J48 with statistical and machine learning methods in predicting fault-prone classes using object-oriented systems

Arvinder Kaur, Ruchika Malhotra, Yogesh Singh, 2011 .

Prediction of Software Quality Model Using Gene Expression Programming

Arvinder Kaur, Ruchika Malhotra, Yogesh Singh, 2009, PROFES.

Software reliability apportionment using the analytic hierarchy process

K. K. Aggarwal, Yogesh Singh, K. Aggarwal, 1995, SOEN.

Empirical Assessment of LR- and ANN-Based Fault Prediction Techniques

Yogesh Singh, Bindu Goel, Y. Singh, 2009 .

Empirical Investigation of Metrics for Fault Prediction on Object-Oriented Software

Yogesh Singh, Bindu Goel, Y. Singh, 2008, Computer and Information Science.

Feedforward sigmoidal networks - equicontinuity and fault-tolerance properties

Yogesh Singh, Pravin Chandra, Y. Singh, 2004, IEEE Transactions on Neural Networks.

Measurement of object-oriented software spatial complexity

K. K. Aggarwal, Jitender Kumar Chhabra, Yogesh Singh, 2004, Inf. Softw. Technol..

Improving the testability of object oriented software through software contracts

Anju Saha, Yogesh Singh, Y. Singh, 2010, ACM SIGSOFT Softw. Eng. Notes.

Predicting Software Fault Proneness Model Using Neural Network

Arvinder Kaur, Ruchika Malhotra, Yogesh Singh, 2008, PROFES.

An empirical study of software reliability prediction using machine learning techniques

Pradeep Kumar, Y. Singh, 2012, Int. J. Syst. Assur. Eng. Manag..

Prediction of Software Reliability Using Feed Forward Neural Networks

Pradeep Kumar, Yogesh Singh, Pradeep Kumar, 2010, 2010 International Conference on Computational Intelligence and Software Engineering.

Application of feed-forward neural networks for software reliability prediction

Yogesh Singh, Pradeep Kumar, Pradeep Kumar, 2010, SOEN.

A Dynamic Approach to Estimate Change Impact using Type of Change Propagation

Chetna Gupta, Yogesh Singh, Durg Singh Chauhan, 2010, J. Inf. Process. Syst..

A case for the self-adaptation of activation functions in FFANNs

Yogesh Singh, Pravin Chandra, Y. Singh, 2004, Neurocomputing.

Predicting software maintenance using fuzzy model

Yogesh Singh, Pradeep Kumar Bhatia, Omprakash Sangwan, 2009, SOEN.

A step towards software preventive maintenance

Yogesh Singh, Bindu Goel, Y. Singh, 2007, SOEN.

Application of Neural Networks in Software Engineering: A Review

Arvinder Kaur, Yogesh Singh, Pradeep Kumar Bhatia, 2009, ICISTM.

A neural net based approach to Test Oracle

K. K. Aggarwal, Arvinder Kaur, Yogesh Singh, 2004, SOEN.

Determination of software release instant using a nonhomogeneous error detection rate model

K. K. Aggarwal, Yogesh Singh, K. Aggarwal, 1993 .

Ascertaining the value of reliability for a software package before release

K. K. Aggarwal, Yogesh Singh, K. Aggarwal, 1992 .

Test case prioritization using ant colony optimization

Arvinder Kaur, Bharti Suri, Yogesh Singh, 2010, SOEN.

Software reuse metrics for object-oriented systems

K. K. Aggarwal, Arvinder Kaur, Ruchika Malhotra, 2005, Third ACIS Int'l Conference on Software Engineering Research, Management and Applications (SERA'05).

A REVIEW OF STUDIES ON MACHINE LEARNING TECHNIQUES

Yogesh Singh, Pradeep Kumar Bhatia, Y. Singh, 2007 .

On the applicability of evolutionary computation for software defect prediction

Ruchika Malhotra, Yogesh Singh, Nakul Pritam, 2014, 2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

Empirical validation of object-oriented metrics for predicting fault proneness at different severity levels using support vector machines

Arvinder Kaur, Ruchika Malhotra, Yogesh Singh, 2010, Int. J. Syst. Assur. Eng. Manag..

Investigating effect of Design Metrics on Fault Proneness in Object-Oriented Systems

K. K. Aggarwal, Arvinder Kaur, Ruchika Malhotra, 2007, J. Object Technol..

A Review of Metrics and Modeling Techniques in Software Fault Prediction Model Development

Yogesh Singh, Pravin Chandra, Rinkaj Goyal, 2016 .

Bayesian Regularization in a Neural Network Model to Estimate Lines of Code Using Function Points

K. K. Aggarwal, Yogesh Singh, Pravin Chandra, 2005 .

An expert committee model to estimate lines of code

K. K. Aggarwal, Yogesh Singh, Pravin Chandra, 2005, SOEN.

Evaluation of various training algorithms in a neural network model for software engineering applications

K. K. Aggarwal, Yogesh Singh, Pravin Chandra, 2005, ACM SIGSOFT Softw. Eng. Notes.

Software reusability assessment using soft computing techniques

Yogesh Singh, Pradeep Kumar Bhatia, Omprakash Sangwan, 2011, SOEN.

A study on software reliability prediction models using soft computing techniques

Yogesh Singh, Pradeep Kumar, Pradeep Kumar, 2013, Int. J. Inf. Commun. Technol..

Predicting Testing Effort Using Artificial Neural Network

Arvinder Kaur, Ruchika Malhotra, Yogesh Singh, 2008 .

Quantification Criteria for Optimization of Modules in OO Design

Yogesh Singh, Pradeep Bhatia, Y. Singh, 2006, Software Engineering Research and Practice.

Improving Fault Prediction using ANN-PSO in Object Oriented Systems

S. Kanmani, N Kayarvizhy, Rhymend Uthariaraj, 2013 .

Application of support vector machine to predict fault prone classes

Arvinder Kaur, Ruchika Malhotra, Yogesh Singh, 2009, SOEN.