V. B. Singh

Orcid: 0000-0001-6678-4977

According to our database1, V. B. Singh authored at least 47 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Developing classifiers by considering sentiment analysis of reported bugs for priority prediction.
Int. J. Syst. Assur. Eng. Manag., May, 2024

Bug summary entropy based training candidates identification in cross project severity prediction.
Int. J. Syst. Assur. Eng. Manag., March, 2024

Inter project defect classification based on word embedding.
Int. J. Syst. Assur. Eng. Manag., 2024

2023
A reversible data hiding scheme for sharing medical data.
Biomed. Signal Process. Control., August, 2023

2022
A generalized prediction model for improving software reliability using time-series modelling.
Int. J. Syst. Assur. Eng. Manag., 2022

Evaluating the Veracity of Software Bug Reports using Entropy-based Measures.
Int. J. Open Source Softw. Process., 2022

Classification of Software Defects Using Orthogonal Defect Classification.
Int. J. Open Source Softw. Process., 2022

Autoclassify Software Defects Using Orthogonal Defect Classification.
Proceedings of the Computational Science and Its Applications - ICCSA 2022 Workshops, 2022

2020
Enhanced payload and trade-off for image steganography via a novel pixel digits alteration.
Multim. Tools Appl., 2020

Multiclass malware classification via first- and second-order texture statistics.
Comput. Secur., 2020

Detection of Malign and Benign PE Files Using Texture Analysis.
Proceedings of the Information Systems Security - 16th International Conference, 2020

2019
Multi-attribute dependent bug severity and fix time prediction modeling.
Int. J. Syst. Assur. Eng. Manag., 2019

Quantitative Quality Evaluation of Software Products by Considering Summary and Comments Entropy of a Reported Bug.
Entropy, 2019

Modeling and analysis of leftover issues and release time planning in multi-release open source software using entropy based measure.
Comput. Syst. Sci. Eng., 2019

Localization Techniques in the Future IoT: A Review.
Proceedings of the 19th International Conference on Computational Science and Its Applications, 2019

Deep Learning with Big Data: An Emerging Trend.
Proceedings of the 19th International Conference on Computational Science and Its Applications, 2019

2018
Entropy Based Software Reliability Analysis of Multi-Version Open Source Software.
IEEE Trans. Software Eng., 2018

Severity Assessment of a Reported Bug by Considering its Uncertainty and Irregular State.
Int. J. Open Source Softw. Process., 2018

Reduction of Redundant Rules in Association Rule Mining-Based Bug Assignment.
CoRR, 2018

An Improved Classifier Based on Entropy and Deep Learning for Bug Priority Prediction.
Proceedings of the Intelligent Systems Design and Applications, 2018

Quantitative Quality Assessment of Open Source Software by Considering New Features and Feature Improvements.
Proceedings of the Computational Science and Its Applications - ICCSA 2018, 2018

2017
Bug Severity Assessment in Cross Project Context and Identifying Training Candidates.
J. Inf. Knowl. Manag., 2017

Requirement Paradigms to Implement the Software Projects in Agile Development Using Analytical Hierarchy Process.
Int. J. Decis. Support Syst. Technol., 2017

Complexity of the Code Changes and Issues Dependent Approach to Determine the Release Time of Software Product.
Proceedings of the Computational Science and Its Applications - ICCSA 2017, 2017

2016
Clustering-based association rule mining for bug assignee prediction.
Int. J. Bus. Intell. Data Min., 2016

2015
Bug prediction modeling using complexity of code changes.
Int. J. Syst. Assur. Eng. Manag., 2015

Post Release Versions based Code Change Quality Metrics.
Proceedings of the Third International Symposium on Women in Computing and Informatics, 2015

Bug Assignee Prediction Using Association Rule Mining.
Proceedings of the Computational Science and Its Applications - ICCSA 2015, 2015

The Way Ahead for Bug-fix time Prediction.
Proceedings of the Joint Proceedings of the 3rd International Workshop on Quantitative Approaches to Software Quality (QuASoQ), 2015

2014
Developing an intelligent cloud for higher education.
ACM SIGSOFT Softw. Eng. Notes, 2014

An empirical evaluation of cross project priority prediction.
Int. J. Syst. Assur. Eng. Manag., 2014

Predicting the complexity of code changes using entropy based measures.
Int. J. Syst. Assur. Eng. Manag., 2014

Prediction of the Complexity of Code Changes Based on Number of Open bugs, New Feature and Feature Improvement.
Proceedings of the 25th IEEE International Symposium on Software Reliability Engineering Workshops, 2014

Multiattribute Based Machine Learning Models for Severity Prediction in Cross Project Context.
Proceedings of the Computational Science and Its Applications - ICCSA 2014 - 14th International Conference, Guimarães, Portugal, June 30, 2014

Evaluation of Web Session Cluster Quality Based on Access-Time Dissimilarity and Evolutionary Algorithms.
Proceedings of the Computational Science and Its Applications - ICCSA 2014 - 14th International Conference, Guimarães, Portugal, June 30, 2014

2013
Bug prediction using entropy-based measures.
Int. J. Knowl. Eng. Data Min., 2013

E-Governance: Past, Present and Future in India.
CoRR, 2013

Improving the Testability of Object-oriented Software during Testing and Debugging Processes.
CoRR, 2013

Improving the Quality of Software by Quantifying the Code Change Metric and Predicting the Bugs.
Proceedings of the Computational Science and Its Applications - ICCSA 2013, 2013

Tools in Mining Software Repositories.
Proceedings of the Computational Science and Its Applications - ICCSA 2013, 2013

An Empirical Validation of the Complexity of Code Changes and Bugs in Predicting the Release Time of Open Source Software.
Proceedings of the 16th IEEE International Conference on Computational Science and Engineering, 2013

2012
An Empirical Comparison of Machine Learning Techniques in Predicting the Bug Severity of Open and Closed Source Projects.
Int. J. Open Source Softw. Process., 2012

Entropy based bug prediction using support vector regression.
Proceedings of the 12th International Conference on Intelligent Systems Design and Applications, 2012

Predicting the priority of a reported bug using machine learning techniques and cross project validation.
Proceedings of the 12th International Conference on Intelligent Systems Design and Applications, 2012

2011
Measuring bug complexity in object oriented software system.
ACM SIGSOFT Softw. Eng. Notes, 2011

2010
Measuring reliability growth of software by considering fault dependency, debugging time Lag functions and irregular fluctuation.
ACM SIGSOFT Softw. Eng. Notes, 2010

2007
Considering the fault dependency concept with debugging time lag in software reliability growth modeling using a power function of testing time.
Int. J. Autom. Comput., 2007


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