Machine learning, neural and statistical classification
Machine learning, neural and statistical classification
Estimating Software Project Effort Using Analogies
IEEE Transactions on Software Engineering
Towards automated synthesis of data mining programs
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Software Engineering Economics
Software Engineering Economics
Preliminary guidelines for empirical research in software engineering
IEEE Transactions on Software Engineering
Benchmarking Attribute Selection Techniques for Discrete Class Data Mining
IEEE Transactions on Knowledge and Data Engineering
AutoBayes: a system for generating data analysis programs from statistical models
Journal of Functional Programming
Reliability and Validity in Comparative Studies of Software Prediction Models
IEEE Transactions on Software Engineering
Simple software cost analysis: safe or unsafe?
PROMISE '05 Proceedings of the 2005 workshop on Predictor models in software engineering
Feature subset selection can improve software cost estimation accuracy
PROMISE '05 Proceedings of the 2005 workshop on Predictor models in software engineering
Cross versus Within-Company Cost Estimation Studies: A Systematic Review
IEEE Transactions on Software Engineering
Global Sensitivity Analysis of Predictor Models in Software Engineering
PROMISE '07 Proceedings of the Third International Workshop on Predictor Models in Software Engineering
Cross-project defect prediction: a large scale experiment on data vs. domain vs. process
Proceedings of the the 7th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering
On learning algorithm selection for classification
Applied Soft Computing
When to use data from other projects for effort estimation
Proceedings of the IEEE/ACM international conference on Automated software engineering
How effective is Tabu search to configure support vector regression for effort estimation?
Proceedings of the 6th International Conference on Predictive Models in Software Engineering
Validity and reliability of evaluation procedures in comparative studies of effort prediction models
Empirical Software Engineering
A replicated assessment and comparison of adaptation techniques for analogy-based effort estimation
Empirical Software Engineering
The difficulties of building generic reliability models for software
Empirical Software Engineering
Empirical Software Engineering
On the dataset shift problem in software engineering prediction models
Empirical Software Engineering
Empirical Software Engineering
Local vs. global models for effort estimation and defect prediction
ASE '11 Proceedings of the 2011 26th IEEE/ACM International Conference on Automated Software Engineering
No free lunch theorems for optimization
IEEE Transactions on Evolutionary Computation
Evaluating prediction systems in software project estimation
Information and Software Technology
A review of studies on expert estimation of software development effort
Journal of Systems and Software
The scientific basis for prediction research
Proceedings of the 8th International Conference on Predictive Models in Software Engineering
Proceedings of the 8th International Conference on Predictive Models in Software Engineering
StatREC: a graphical user interface tool for visual hypothesis testing of cost prediction models
Proceedings of the 8th International Conference on Predictive Models in Software Engineering
Software effort models should be assessed via leave-one-out validation
Journal of Systems and Software
The impact of parameter tuning on software effort estimation using learning machines
Proceedings of the 9th International Conference on Predictive Models in Software Engineering
Software effort estimation as a multiobjective learning problem
ACM Transactions on Software Engineering and Methodology (TOSEM) - Testing, debugging, and error handling, formal methods, lifecycle concerns, evolution and maintenance
Software defect prediction using Bayesian networks
Empirical Software Engineering
A method for evaluation of learning components
Automated Software Engineering
Software defect prediction using relational association rule mining
Information Sciences: an International Journal
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