V. B. Singh
Orcid: 0000-0001-6678-4977
According to our database1,
V. B. Singh
authored at least 47 papers
between 2007 and 2024.
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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
Int. J. Syst. Assur. Eng. Manag., 2024
2023
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
Int. J. Open Source Softw. Process., 2022
Int. J. Open Source Softw. Process., 2022
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
Comput. Secur., 2020
Proceedings of the Information Systems Security - 16th International Conference, 2020
2019
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
Proceedings of the 19th International Conference on Computational Science and Its Applications, 2019
Proceedings of the 19th International Conference on Computational Science and Its Applications, 2019
2018
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
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
Int. J. Bus. Intell. Data Min., 2016
2015
Int. J. Syst. Assur. Eng. Manag., 2015
Proceedings of the Third International Symposium on Women in Computing and Informatics, 2015
Proceedings of the Computational Science and Its Applications - ICCSA 2015, 2015
Proceedings of the Joint Proceedings of the 3rd International Workshop on Quantitative Approaches to Software Quality (QuASoQ), 2015
2014
ACM SIGSOFT Softw. Eng. Notes, 2014
Int. J. Syst. Assur. Eng. Manag., 2014
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
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
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
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
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