Empirical evaluation of code smells in open-source software (OSS) using Best Worst Method (BWM) and TOPSIS approach S Tandon, V Kumar, VB Singh International Journal of Quality & Reliability Management 39 (3), 815-835, 2022 | 11 | 2022 |
An empirical analysis of code smells using CRITIC-TOPSIS method S Tandon, V Kumar, VB Singh 2022 12th international conference on cloud computing, data science …, 2022 | 6 | 2022 |
Study of Code Smells: A Review and Research Agenda VBS Stuti Tandon, Vijay Kumar IJMEMS 9 (3), 472-498, 2024 | 4* | 2024 |
Modeling Software Release Time and Software Patch Release Time Based on Testing Effort and Warranty P Saxena, V Kumar, S Tandon, K Chaudhary, M Ram Journal of Reliability and Statistical Studies, 77-108, 2024 | 2 | 2024 |
Optimization of Resource Allocation for Detection of Software Architectural Defects S Tandon, V Kumar, VB Singh 2024 11th International Conference on Computing for Sustainable Global …, 2024 | 1 | 2024 |
Machine learning technique for generation of human readable rules to detect software code smells in open-source software S Tandon, V Kumar, VB Singh Life Cycle Reliability and Safety Engineering 13 (3), 277-291, 2024 | | 2024 |
Steganography: Unveiling Techniques and Research Agenda A Kumar, S Tandon, S Deorari, R Kumar IntechOpen, 2024 | | 2024 |
Steganography: Unveiling Techniques and Research Agenda SDRK Arvind Kumar, Stuti Tandon Steganography - The Art of Hiding Information, 2024 | | 2024 |
Uncovering the Challenges From Algorithmic Bias Affecting the Marginalized Patient Groups in Healthcare ST Sarthak Bhatia, Shobhit, Anuj Kumar ICICC, 2024 | | 2024 |