| A comprehensive survey of deep learning in the field of medical imaging and medical natural language processing: Challenges and research directions B Pandey, DK Pandey, BP Mishra, W Rhmann Journal of King Saud University-Computer and Information Sciences 34 (8 …, 2022 | 92 | 2022 |
| Software fault prediction based on change metrics using hybrid algorithms: An empirical study W Rhmann, B Pandey, G Ansari, DK Pandey Journal of King Saud University-Computer and Information Sciences 32 (4 …, 2020 | 77 | 2020 |
| Software effort estimation using ensemble of hybrid search-based algorithms based on metaheuristic algorithms W Rhmann, B Pandey, GA Ansari Innovations in Systems and Software Engineering 18 (2), 309-319, 2022 | 20 | 2022 |
| Cross project defect prediction using hybrid search based algorithms W Rhmann International Journal of Information Technology 12 (2), 531-538, 2020 | 19 | 2020 |
| Optimized and prioritized test paths generation from UML activity diagram using firefly algorithm W Rhmann, V Saxena International Journal of Computer Applications 145 (6), 16-22, 2016 | 12 | 2016 |
| Use of genetic approach for test case prioritization from UML activity diagram W Rhmann, T Zaidi, V Saxena International Journal of Computer Applications 115 (4), 2015 | 10 | 2015 |
| Application of hybrid search based algorithms for software defect prediction W Rhmann International Journal of Modern Education and Computer Science 11 (4), 51, 2018 | 9 | 2018 |
| Fuzzy expert system based test cases prioritization from UML state machine diagram using risk information W Rhmann, V Saxena International Journal of Mathematical Sciences and Computing (IJMSC) 3 (1 …, 2017 | 9 | 2017 |
| Ensemble techniques-based software fault prediction in an open-source project W Rhmann, GA Ansari Research Anthology on Usage and Development of Open Source Software, 693-709, 2021 | 7 | 2021 |
| Generation of test cases from UML sequence diagram based on extenics theory VS Wasiur Rhmann British Journal of Mathematics & Computer Science 16 (1), 2016 | 7 | 2016 |
| Modifying one of the Machine Learning Algorithms kNN to Make it Independent of the Parameter k by Re-defining Neighbor PK Sinha International Journal of Mathematical Sciences and Computing (IJMSC) 6 (4 …, 2020 | 6* | 2020 |
| Software vulnerability prediction using grey wolf-optimized random forest on the unbalanced data sets W Rhmann International Journal of Applied Metaheuristic Computing (IJAMC) 13 (1), 1-15, 2022 | 4 | 2022 |
| Test case generation from uml sequence diagram for aadhaar card number based atm system W Rhmann, V Saxena International Journal of Applied Information Systems 11 (4), 37-43, 2016 | 4 | 2016 |
| Risk based Test Case Prioritization using UML State Machine Diagram GA Ansari, W Rhmann, V Saxena International Journal of Applied Information Systems 11 (7), 15-21, 2016 | 4 | 2016 |
| An ensemble of Hybrid Search-Based algorithms for Software effort prediction W Rhmann International Journal of Software Science and Computational Intelligence …, 2021 | 3 | 2021 |
| Dynamic Test Data Generation using Negative Selection Algorithm and Equivalence Class Partitioning W Rhmann, GA Ansari International Journal of Advanced Research in Computer Science 8 (3), 189-192, 2017 | 3 | 2017 |
| Quantitative software change prediction in open source web projects using time series forecasting W Rhmann International Journal of Open Source Software and Processes (IJOSSP) 12 (2 …, 2021 | 2 | 2021 |
| Software effort estimation: Machine learning vs. Hybrid algorithms W Rhmann Computational Intelligence Techniques and Their Applications to Software …, 2020 | 2 | 2020 |
| Use of metaheuristic algorithms in malware detection W Rhmann, GA Ansari Int. J. Recent Innov. Trends Comput. Commun 5 (6), 1370-1374, 2017 | 2 | 2017 |
| UML Models of Research Process in Empirical Software Engineering W Rhmann International Journal of Computer Sciences and Engineering 5 (10), 176-180, 2017 | 1 | 2017 |
