Optimal allocation of testing effort during testing and debugging phases: a control theoretic approach. - P. K. Kapur 001; Hoang Pham; Udayan Chanda; Vijay Kumar 005 (Int. J. Syst. Sci., 2013)

Bug prediction modeling using complexity of code changes. - V. B. Singh; K. K. Chaturvedi; Sunil Kumar Khatri; Vijay Kumar 005 (Int. J. Syst. Assur. Eng. Manag., 2015)

Release time problem with multiple constraints. - Ompal Singh; P. K. Kapur 001; Avinash K. Shrivastava; Vijay Kumar 005 (Int. J. Syst. Assur. Eng. Manag., 2015)

Software Code Smell Prediction Model Using Shannon, Rényi and Tsallis Entropies. - Aakanshi Gupta; Bharti Suri; Vijay Kumar 005; Sanjay Misra; Tomas Blazauskas; Robertas Damasevicius (Entropy, 2018)

New Product Launching with Pricing, Free Replacement, Rework, and Warranty Policies via Genetic Algorithmic Approach. - Vijay Kumar 005; Biswajit Sarkar; Alok Nath Sharma; Mandeep Mittal (Int. J. Comput. Intell. Syst., 2019)

Extracting rules for vulnerabilities detection with static metrics using machine learning. - Aakanshi Gupta; Bharti Suri; Vijay Kumar 005; Pragyashree Jain (Int. J. Syst. Assur. Eng. Manag., 2021)

Driving to safety: real-time danger spot and drowsiness monitoring system. - Vijay Kumar 005; Hoang Pham; Praveen Kumar Pandey; Abhishek Goel (Soft Comput., 2021)

A Neuro-Fuzzy Approach to MOPP Open Time Prediction for Chemical Threats in Low-Intensity Conflicts. - Vijay Kumar 005; Lakshya Tyagi (Int. J. Fuzzy Syst. Appl., 2022)

A novel CRITIC-TOPSIS approach for optimal selection of software reliability growth model (SRGM). - Palak Saxena; Vijay Kumar 005; Mangey Ram (Qual. Reliab. Eng. Int., 2022)

Impact of Goodwill on Consumer Buying through Advertising in a Segmented Market: An Optimal Control Theoretic Approach. - Pradeep Kumar; Kuldeep Chaudhary; Vijay Kumar 005; Sudipa Chauhan (Axioms, 2023)

Effects of Incorporating Double Time Delays in an Investment Savings-Liquidity Preference Money Supply (IS-LM) Model. - Akanksha Rajpal; Sumit Kaur Bhatia; Vijay Kumar 005 (Int. J. Bifurc. Chaos, 2023)