| Analysis and selection of a regression model for the use case points method using a stepwise approach R Silhavy, P Silhavy, Z Prokopova Journal of Systems and Software 125, 1-14, 2017 | 151 | 2017 |
| Evaluating subset selection methods for use case points estimation R Silhavy, P Silhavy, Z Prokopova Information and Software Technology 97, 1-9, 2018 | 79 | 2018 |
| Categorical variable segmentation model for software development effort estimation P Silhavy, R Silhavy, Z Prokopova IEEE Access 7, 9618-9626, 2019 | 60 | 2019 |
| Algorithmic optimisation method for improving use case points estimation R Silhavy, P Silhavy, Z Prokopova PloS one 10 (11), e0141887, 2015 | 41 | 2015 |
| Improving algorithmic optimisation method by spectral clustering R Silhavy, P Silhavy, Z Prokopova Software Engineering Trends and Techniques in Intelligent Systems …, 2017 | 29 | 2017 |
| Parametric software effort estimation based on optimizing correction factors and multiple linear regression HLTK Nhung, V Van Hai, R Silhavy, Z Prokopova, P Silhavy IEEE Access 10, 2963-2986, 2021 | 24 | 2021 |
| Using actors and use cases for software size estimation R Silhavy, P Silhavy, Z Prokopova Electronics 10 (5), 592, 2021 | 23 | 2021 |
| The effects of clustering to software size estimation for the use case points methods Z Prokopová, R Silhavy, P Silhavy Software Engineering Trends and Techniques in Intelligent Systems …, 2017 | 20 | 2017 |
| Artificial intelligence perspectives in intelligent systems R Silhavy, R Senkerik, ZK Oplatkova, P Silhavy, Z Prokopova Springer, 2016 | 17 | 2016 |
| Artificial intelligence perspectives in intelligent systems R Silhavy, R Senkerik, ZK Oplatkova, P Silhavy, Z Prokopova Springer, 2016 | 17 | 2016 |
| Artificial intelligence perspectives in intelligent systems R Silhavy, R Senkerik, ZK Oplatkova, P Silhavy, Z Prokopova Springer, 2016 | 17 | 2016 |
| Toward improving the efficiency of software development effort estimation via clustering analysis V Van Hai, HLTK Nhung, Z Prokopova, R Silhavy, P Silhavy IEEE Access 10, 83249-83264, 2022 | 15 | 2022 |
| Evaluation of data clustering for stepwise linear regression on use case points estimation P Silhavy, R Silhavy, Z Prokopova Software Engineering Trends and Techniques in Intelligent Systems …, 2017 | 15 | 2017 |
| Influence analysis of selected factors in the function point work effort estimation Z Prokopova, P Silhavy, R Silhavy Proceedings of the Computational Methods in Systems and Software, 112-124, 2018 | 14 | 2018 |
| A new approach to calibrating functional complexity weight in software development effort estimation VV Hai, HLTK Nhung, Z Prokopova, R Silhavy, P Silhavy Computers 11 (2), 15, 2022 | 13 | 2022 |
| Requirements gathering methods in system engineering R Silhavy, P Silhavy, Z Prokopova Recent Researches in Automatic Control, 105-110, 2011 | 13 | 2011 |
| Algorithmic optimization method for effort estimation R Silhavy, Z Prokopova, P Silhavy Programming and Computer Software 42, 161-166, 2016 | 12 | 2016 |
| Comparing multiple linear regression, deep learning and multiple perceptron for functional points estimation HT Hoc, R Silhavy, Z Prokopova, P Silhavy IEEE Access 10, 112187-112198, 2022 | 10 | 2022 |
| Use case points benchmark dataset R Silhavy, P Silhavy, Z Prokopova Mendeley Data 1, 2017, 2017 | 10 | 2017 |
| Behavioral modeling in system engineering R Silhavy, P Silhavy, Z Prokopova Proceedings of the 13th WSEAS International Conference on Automatic Control …, 2011 | 9 | 2011 |
