V. B. Singh

发表

Multiclass malware classification via first- and second-order texture statistics

Vinita Verma, Sunil K. Muttoo, V. B. Singh, 2020, Comput. Secur..

Bug Severity Assessment in Cross Project Context and Identifying Training Candidates

Sanjay Misra, Meera Sharma, V. B. Singh, 2017, J. Inf. Knowl. Manag..

Predicting the priority of a reported bug using machine learning techniques and cross project validation

Punam Bedi, K. K. Chaturvedi, Meera Sharma, 2012, 2012 12th International Conference on Intelligent Systems Design and Applications (ISDA).

Enhanced payload and trade-off for image steganography via a novel pixel digits alteration

S. K. Muttoo, Vinita Verma, V. B. Singh, 2019, Multimedia Tools and Applications.

An Empirical Comparison of Machine Learning Techniques in Predicting the Bug Severity of Open and Closed Source Projects

K. K. Chaturvedi, V. B. Singh, V. B. Singh, 2012, Int. J. Open Source Softw. Process..

Success and Failure Factors that Impact on Project Implementation Using Agile Software Development Methodology

Saru Dhir, Deepak Kumar, V. B. Singh, 2018, Advances in Intelligent Systems and Computing.

Modeling and analysis of leftover issues and release time planning in multi-release open source software using entropy based measure

Hoang Pham, Meera Sharma, V. B. Singh, 2019, Comput. Syst. Sci. Eng..

An Improved Classifier Based on Entropy and Deep Learning for Bug Priority Prediction

Madhu Kumari, V. B. Singh, Madhu Kumari, 2018, ISDA.

Prediction of the Complexity of Code Changes Based on Number of Open bugs, New Feature and Feature Improvement

Meera Sharma, V. B. Singh, V. B. Singh, 2014, 2014 IEEE International Symposium on Software Reliability Engineering Workshops.

Measuring bug complexity in object oriented software system

Sujata Khatri, Rajender Singh Chhillar, V. B. Singh, 2011, SOEN.

Determining Bug severity using machine learning techniques

K. K. Chaturvedi, K. K. Chaturvedi, V. B. Singh, 2012, 2012 CSI Sixth International Conference on Software Engineering (CONSEG).

Software reliability growth model with change-point and effort control using a power function of the testing time

P. K. Kapur, P. K. Kapur, V. B. Singh, 2008 .

Multi-attribute dependent bug severity and fix time prediction modeling

Meera Sharma, Madhu Kumari, V. B. Singh, 2019, International Journal of System Assurance Engineering and Management.

Understanding the meaning of bug attributes and prediction models

Meera Sharma, Madhu Kumari, V. B. Singh, 2013, I-CARE '13.

Predicting the Fix Time of a Reported Bug using Radoop: A Big Data Approach

Meera Sharma, Sameer Anand, Madhu Kumari, 2020 .

The Way Ahead for Bug-fix time Prediction

Meera Sharma, Madhu Kumari, V. B. Singh, 2015, QuASoQ/WAWSE/CMCE@APSEC.

Measuring reliability growth of software by considering fault dependency, debugging time Lag functions and irregular fluctuation

P. K. Kapur, V. B. Singh, P. K. Kapur, 2010, SOEN.

Detection of Malign and Benign PE Files Using Texture Analysis

Vinita Verma, Sunil K. Muttoo, V. B. Singh, 2020, ICISS.

A generalized prediction model for improving software reliability using time-series modelling

V. B. Singh, A. Agarwal, Khushboo Jain, 2021, International Journal of System Assurance Engineering and Management.

Entropy based Software Reliability Growth Modelling for Open Source Software Evolution

Madhu Kumari, Meera Sharma, Abhishek Tandon, 2020, Tehnicki vjesnik - Technical Gazette.

Bug prediction modeling using complexity of code changes

Vijay Kumar, Sunil Kumar Khatri, K. K. Chaturvedi, 2015, Int. J. Syst. Assur. Eng. Manag..

Bug prediction modeling using complexity of code changes

Vijay Kumar, S. Khatri, V. B. Singh, 2014, International Journal of System Assurance Engineering and Management.

Bug prediction using entropy-based measures

K. K. Chaturvedi, V. B. Singh, V. B. Singh, 2013, Int. J. Knowl. Eng. Data Min..

Entropy based bug prediction using support vector regression

K. K. Chaturvedi, V. B. Singh, V. B. Singh, 2012, 2012 12th International Conference on Intelligent Systems Design and Applications (ISDA).

Considering the fault dependency concept with debugging time lag in software reliability growth modeling using a power function of testing time

V. B. Singh, Kalpana Yadav, V. S. S. Yadavalli, 2007, Int. J. Autom. Comput..

On the Development of Discrete Software Reliability Growth Models

P. C. Jha, P. K. Kapur, V. B. Singh, 2008 .

E-Governance: Past, Present and Future in India pdf

V. B. Singh, Nikita Yadav, V. B. Singh, 2012, ArXiv.

An empirical evaluation of cross project priority prediction

Punam Bedi, Meera Sharma, V. B. Singh, 2014, International Journal of System Assurance Engineering and Management.

Deep Learning with Big Data: An Emerging Trend

Meera Sharma, Madhu Kumari, Kumari Seema Rani, 2019, 2019 19th International Conference on Computational Science and Its Applications (ICCSA).

Improving the Testability of Object-oriented Software during Testing and Debugging Processes pdf

Sujata Khatri, Rajender Singh Chhillar, V. B. Singh, 2011, ArXiv.

Predicting the complexity of code changes using entropy based measures

P. K. Kapur, K. K. Chaturvedi, P. K. Kapur, 2014, International Journal of System Assurance Engineering and Management.

An Empirical Validation of the Complexity of Code Changes and Bugs in Predicting the Release Time of Open Source Software

Punam Bedi, K. K. Chaturvedi, Sanjay Misra, 2013, 2013 IEEE 16th International Conference on Computational Science and Engineering.

Localization Techniques in the Future IoT: A Review

Fernando Wanderley, Ananya Misra, VB Singh, 2019, 2019 19th International Conference on Computational Science and Its Applications (ICCSA).

Multiattribute Based Machine Learning Models for Severity Prediction in Cross Project Context

R. K. Singh, Meera Sharma, Madhu Kumari, 2014, ICCSA.

Tools in Mining Software Repositories

K. K. Chaturvedi, V. B. Singh, Prashast Singh, 2013, 2013 13th International Conference on Computational Science and Its Applications.