Fields of interest:
software engineering, Bayesian nets, project management, machine learning, knowledge management
Software Development Effort and Quality Prediction Using Bayesian Nets and Small Local Qualitative Data
Proc. International Conference on Software Engineering and Knowledge Engineering, Redwood City, CA, 2010, pp. 113-116.
T. Schulz, Ł. Radliński, T. Gorges and W. Rosenstiel:
Defect Cost Flow Model – A Bayesian Network for Predicting Defect Correction Effort
Proc. 6th International Conference on Predictive Models in Software Engineering, Timisoara, 2010.
Predicting Defect Types in Software Projects
Polish Journal of Environmental Studies, vol. 18 no. 3B, 2009, pp. 311-315.
N. Fenton, M. Neil, W. Marsh, P. Hearty, Ł. Radliński and P. Krause:
On the effectiveness of early life cycle defect prediction with Bayesian Nets
Empirical Software Engineering, vol. 13 no. 5, Oct. 2008, pp. 499–537.
Ł. Radliński, N. Fenton and M. Neil:
A Learning Bayesian Net for Predicting Number of Software Defects Found in a Sequence of Testing
Polish Journal of Environmental Studies, vol. 17 no. 3B, 2008, pp. 359–364.