Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Knowledge engineering: principles and methods
Data & Knowledge Engineering - Special jubilee issue: DKE 25
Introduction to Bayesian Networks
Introduction to Bayesian Networks
Building Probabilistic Networks: 'Where Do the Numbers Come From?' Guest Editors' Introduction
IEEE Transactions on Knowledge and Data Engineering
Building large-scale Bayesian networks
The Knowledge Engineering Review
Making Resource Decisions for Software Projects
Proceedings of the 26th International Conference on Software Engineering
A Probabilistic Model for Predicting Software Development Effort
IEEE Transactions on Software Engineering
Investigating Web size metrics for early Web cost estimation
Journal of Systems and Software
A Comparison of Techniques for Web Effort Estimation
ESEM '07 Proceedings of the First International Symposium on Empirical Software Engineering and Measurement
The Use of Bayesian Networks for Web Effort Estimation: Further Investigation
ICWE '08 Proceedings of the 2008 Eighth International Conference on Web Engineering
Bayesian Network Models for Web Effort Prediction: A Comparative Study
IEEE Transactions on Software Engineering
The use of a Bayesian network for web effort estimation
ICWE'07 Proceedings of the 7th international conference on Web engineering
Network engineering for complex belief networks
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Parameterising bayesian networks
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
Building an expert-based web effort estimation model using bayesian networks
EASE'09 Proceedings of the 13th international conference on Evaluation and Assessment in Software Engineering
Predicting web development effort using a bayesian network
EASE'07 Proceedings of the 11th international conference on Evaluation and Assessment in Software Engineering
Improving software effort estimation using an expert-centred approach
HCSE'12 Proceedings of the 4th international conference on Human-Centered Software Engineering
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This paper details our experience building and validating six different expert-based Web effort estimation models for ICT companies in New Zealand and Brazil. All models were created using Bayesian networks, via eliciting knowledge from domain experts, and validated using data from past finished projects. Post-mortem interviews with the participating companies showed that they found the entire process extremely beneficial and worthwhile, and that all the models created remained in use by those companies.