| Nature inspired optimization algorithms: a comprehensive overview A Kumar, M Nadeem, H Banka Evolving Systems 14 (1), 141-156, 2023 | 52 | 2023 |
| Machine learning based predictive modeling to effectively implement DevOps practices in software organizations A Kumar, M Nadeem, M Shameem Automated Software Engineering 30 (2), 21, 2023 | 11 | 2023 |
| Assessing the Maturity of DevOps Practices in Software Industry: An Empirical Study of HELENA2 Dataset A Kumar, M Nadeem, M Shameem Proceedings of the 26th International Conference on Evaluation and …, 2022 | 10 | 2022 |
| Systematic literature review of metrics for measuring devops success A Kumar, M Nadeem, M Shameem AIP Conference Proceedings 2724 (1), 2023 | 6 | 2023 |
| Prioritization of DevOps Maturity models using Fuzzy TOPSIS A Kumar, M Nadeem, M Shameem Proceedings of the 27th International Conference on Evaluation and …, 2023 | 5 | 2023 |
| Multicriteria decision‐making–based framework for implementing DevOps practices: A fuzzy best–worst approach A Kumar, M Nadeem, M Shameem Journal of Software: Evolution and Process, e2631, 2024 | 3 | 2024 |
| Assessment of DevOps Lifecycle Phases and their Role in DevOps Implementation using Best–Worst MCDM A Kumar, M Nadeem, M Shameem International Journal of Information Technology 16 (4), 2139-2147, 2024 | 3 | 2024 |
| Metaheuristic-based cost-effective predictive modeling for DevOps project success A Kumar, M Nadeem, M Shameem Applied Soft Computing, 111834, 2024 | | 2024 |
| A Systematic Literature Review for Investigating DevOps Metrics to Implement in Software Development Organizations A Kumar, M Nadeem, M Shameem Journal of Software: Evolution and Process, e2733, 2024 | | 2024 |
Mohammad NadeemAligarh Muslim UniversityPotvrđena adresa e-pošte na amu.ac.in