Wrappers for feature subset selection
Artificial Intelligence - Special issue on relevance
Bayesian Analysis of Empirical Software Engineering Cost Models
IEEE Transactions on Software Engineering
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Software Engineering Economics
Software Engineering Economics
Software Cost Estimation with Cocomo II with Cdrom
Software Cost Estimation with Cocomo II with Cdrom
Feature Subset Selection Using a Genetic Algorithm
IEEE Intelligent Systems
Benchmarking Attribute Selection Techniques for Discrete Class Data Mining
IEEE Transactions on Knowledge and Data Engineering
Simple software cost analysis: safe or unsafe?
PROMISE '05 Proceedings of the 2005 workshop on Predictor models in software engineering
Finding the Right Data for Software Cost Modeling
IEEE Software
Factors affecting duration and effort estimation errors in software development projects
Information and Software Technology
Implications of ceiling effects in defect predictors
Proceedings of the 4th international workshop on Predictor models in software engineering
Improving analogy software effort estimation using fuzzy feature subset selection algorithm
Proceedings of the 4th international workshop on Predictor models in software engineering
A comparative evaluation on the accuracies of software effort estimates from clustered data
Information and Software Technology
Can we build software faster and better and cheaper?
PROMISE '09 Proceedings of the 5th International Conference on Predictor Models in Software Engineering
Software effort estimation based on weighted fuzzy grey relational analysis
PROMISE '09 Proceedings of the 5th International Conference on Predictor Models in Software Engineering
How to avoid drastic software process change (using stochastic stability)
ICSE '09 Proceedings of the 31st International Conference on Software Engineering
On the relative value of cross-company and within-company data for defect prediction
Empirical Software Engineering
Fuzzy grey relational analysis for software effort estimation
Empirical Software Engineering
Cost estimation and analysis for government contract pricing in china
ICSP'07 Proceedings of the 2007 international conference on Software process
Proceedings of the 7th International Conference on Frontiers of Information Technology
A second look at Faster, Better, Cheaper
Innovations in Systems and Software Engineering
A COSMIC-FFP approach to predict web application development effort
Journal of Web Engineering
The inductive software engineering manifesto: principles for industrial data mining
Proceedings of the International Workshop on Machine Learning Technologies in Software Engineering
A replicated assessment and comparison of adaptation techniques for analogy-based effort estimation
Empirical Software Engineering
Special issue on repeatable results in software engineering prediction
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
Functional Link Artificial Neural Networks for Software Cost Estimation
International Journal of Applied Evolutionary Computation
IMPROVING THE PREDICTION ACCURACY OF SOFTWARE DEVELOPMENT COST MODELS
Journal of Integrated Design & Process Science
Hi-index | 0.00 |
Cost estimation is important in software development for controlling and planning software risks and schedule. Good estimation models, such as COCOMO, can avoid insufficient resources being allocated to a project. In this study, we find that COCOMO's estimates can be improved via WRAPPER- a feature subset selection method developed by the data mining community. Using data sets from the PROMISE repository, we show WRAPPER significantly and dramatically improves COCOMO's predictive power.