| From complex questionnaire and interviewing data to intelligent Bayesian network models for medical decision support AC Constantinou, N Fenton, W Marsh, L Radlinski Artificial intelligence in medicine 67, 75-93, 2016 | 195 | 2016 |
| On the effectiveness of early life cycle defect prediction with Bayesian Nets N Fenton, M Neil, W Marsh, P Hearty, Ł Radliński, P Krause Empirical Software Engineering 13, 499-537, 2008 | 194 | 2008 |
| Project data incorporating qualitative factors for improved software defect prediction N Fenton, M Neil, W Marsh, P Hearty, L Radlinski, P Krause Third International Workshop on Predictor Models in Software Engineering …, 2007 | 73 | 2007 |
| A survey of bayesian net models for software development effort prediction L Radlinski International Journal of Software Engineering and Computing 2 (2), 95-109, 2010 | 52 | 2010 |
| Software project and quality modelling using Bayesian networks N Fenton, P Hearty, M Neil, L Radlinski Artificial intelligence applications for improved software engineering …, 2010 | 34 | 2010 |
| On predicting software development effort using machine learning techniques and local data L Radlinski, W Hoffmann International Journal of Software Engineering and Computing 2 (2), 123-136, 2010 | 32 | 2010 |
| Improved decision-making for software managers using Bayesian networks Ł Radliński, N Fenton, M Neil, D Marquez Proc. of 11th IASTED Int. Conf. Software Engineering and Applications (SEA …, 2007 | 31 | 2007 |
| Improved Bayesian networks for software project risk assessment using dynamic discretisation N Fenton, Ł Radliński, M Neil Software Engineering Techniques: Design for Quality, 139-148, 2007 | 23 | 2007 |
| Modelling project trade-off using Bayesian networks M Fineman, N Fenton, L Radlinski 2009 International Conference on Computational Intelligence and Software …, 2009 | 18 | 2009 |
| Defect cost flow model: A Bayesian network for predicting defect correction effort T Schulz, Ł Radliński, T Gorges, W Rosenstiel Proceedings of the 6th International Conference on Predictive Models in …, 2010 | 17 | 2010 |
| Improved software project risk assessment using Bayesian nets L Radlinski Queen Mary, University of London, 2008 | 16 | 2008 |
| A conceptual Bayesian net model for integrated software quality prediction Ł Radliński Annales Universitatis Mariae Curie-Sklodowska, sectio AI–Informatica 11 (4 …, 2011 | 13 | 2011 |
| Empirical analysis of the impact of requirements engineering on software quality Ł Radliński International Working Conference on Requirements Engineering: Foundation for …, 2012 | 12 | 2012 |
| Estimating productivity and defect rates based on environmental factors Ł Radliński, N Fenton, D Marquez Information Systems Architecture and Technology: Models of the Organisation …, 2008 | 11 | 2008 |
| A framework for integrated software quality prediction using bayesian nets Ł Radliński Computational Science and Its Applications-ICCSA 2011: International …, 2011 | 10 | 2011 |
| Predicting the flow of defect correction effort using a Bayesian network model T Schulz, Ł Radliński, T Gorges, W Rosenstiel Empirical Software Engineering 18, 435-477, 2013 | 7 | 2013 |
| Predicting defect types in software projects Ł Radliński Polish Journal of Environmental Studies 18 (3B), 311-315, 2009 | 7 | 2009 |
| Modelling prior productivity and defect rates in a causal model for software project risk assessment Ł Radliński, N Fenton, M Neil, D Marquez, II w Zarządzaniu Polish Journal of Environmental Studies 16 (4A), 256-260, 2007 | 7 | 2007 |
| Stability of user satisfaction prediction in software projects Ł Radliński Procedia Computer Science 176, 2394-2403, 2020 | 6 | 2020 |
| Preliminary evaluation of schemes for predicting user satisfaction with the ability of system to meet stated objectives Ł Radliński Journal of Theoretical and Applied Computer Science 9 (2), 32-50, 2015 | 6 | 2015 |