An empirical validation of software cost estimation models
Communications of the ACM
Decision Combination in Multiple Classifier Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Empirical methods for artificial intelligence
Empirical methods for artificial intelligence
Machine Learning
Estimating Software Project Effort Using Analogies
IEEE Transactions on Software Engineering
Estimating software costs
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
Robust Classification for Imprecise Environments
Machine Learning
Software Cost Estimation with Cocomo II with Cdrom
Software Cost Estimation with Cocomo II with Cdrom
Proceedings of the 24th International Conference on Software Engineering
Benchmarking Attribute Selection Techniques for Discrete Class Data Mining
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Software Engineering
Validation methods for calibrating software effort models
Proceedings of the 27th international conference on Software engineering
Finding the Right Data for Software Cost Modeling
IEEE Software
Ordering and Finding the Best of K2 Supervised Learning Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Estimating software-intensive systems: projects, products, and processes
Estimating software-intensive systems: projects, products, and processes
Software project economics: a roadmap
FOSE '07 2007 Future of Software Engineering
Decision Support Analysis for Software Effort Estimation by Analogy
PROMISE '07 Proceedings of the Third International Workshop on Predictor Models in Software Engineering
Column Pruning Beats Stratification in Effort Estimation
PROMISE '07 Proceedings of the Third International Workshop on Predictor Models in Software Engineering
The business case for automated software engineering
Proceedings of the twenty-second IEEE/ACM international conference on Automated software engineering
Functional size measurement revisited
ACM Transactions on Software Engineering and Methodology (TOSEM)
Multi-criteria decision analysis for customization of estimation by analogy method AQUA+
Proceedings of the 4th international workshop on Predictor models in software engineering
Confidence in software cost estimation results based on MMRE and PRED
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
Proceedings of the Second ACM-IEEE international symposium on Empirical software engineering and measurement
A constrained regression technique for cocomo calibration
Proceedings of the Second ACM-IEEE international symposium on Empirical software engineering and measurement
Software Process and Product Measurement
Impact of Base Functional Component Types on Software Functional Size Based Effort Estimation
PROFES '08 Proceedings of the 9th international conference on Product-Focused Software Process Improvement
Assessing the usability of a visual tool for the definition of e-learning processes
Journal of Visual Languages and Computing
How to Use COSMIC Functional Size in Effort Estimation Models?
IWSM/Metrikon/Mensura '08 Proceedings of the International Conferences on Software Process and Product Measurement
Feature weighting heuristics for analogy-based effort estimation models
Expert Systems with Applications: An International Journal
Can we build software faster and better and cheaper?
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
A defect prediction model for software based on service oriented architecture using expert COCOMO
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Accurate estimates without calibration?
ICSP'08 Proceedings of the Software process, 2008 international conference on Making globally distributed software development a success story
ICACT'10 Proceedings of the 12th international conference on Advanced communication technology
Stable rankings for different effort models
Automated Software Engineering
Comparative study on applicability of two novel effort estimation models in web projects
ECC'10 Proceedings of the 4th conference on European computing conference
Information and Software Technology
Two novel effort estimation models based on quality metrics in web projects
WSEAS Transactions on Information Science and Applications
A second look at Faster, Better, Cheaper
Innovations in Systems and Software Engineering
An analysis of trends in productivity and cost drivers over years
Proceedings of the 7th International Conference on Predictive Models in Software Engineering
Software effort estimation based on optimized model tree
Proceedings of the 7th International Conference on Predictive Models in Software Engineering
A principled evaluation of ensembles of learning machines for software effort estimation
Proceedings of the 7th International Conference on Predictive Models in Software Engineering
Local bias and its impacts on the performance of parametric estimation models
Proceedings of the 7th International Conference on Predictive Models in Software Engineering
Design of fuzzy radial basis function-based polynomial neural networks
Fuzzy Sets and Systems
Information and Software Technology
Adjusted case-based software effort estimation using bees optimization algorithm
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part II
Rank-based refactoring decision support: two studies
Innovations in Systems and Software Engineering
A replicated assessment and comparison of adaptation techniques for analogy-based effort estimation
Empirical Software Engineering
Regularities in learning defect predictors
PROFES'10 Proceedings of the 11th international conference on Product-Focused Software Process Improvement
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
Single and Multi Objective Genetic Programming for software development effort estimation
Proceedings of the 27th Annual ACM Symposium on Applied Computing
Size doesn't matter?: on the value of software size features for effort estimation
Proceedings of the 8th International Conference on Predictive Models in Software Engineering
Handling categorical variables in effort estimation
Proceedings of the ACM-IEEE international symposium on Empirical software engineering and measurement
Hybrid optimized polynomial neural networks with polynomial neurons and fuzzy polynomial neurons
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part I
Maintainability defects detection and correction: a multi-objective approach
Automated Software Engineering
Functional Link Artificial Neural Networks for Software Cost Estimation
International Journal of Applied Evolutionary Computation
Software effort models should be assessed via leave-one-out validation
Journal of Systems and Software
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
LMES: A localized multi-estimator model to estimate software development effort
Engineering Applications of Artificial Intelligence
Information and Software Technology
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Effort estimation often requires generalizing from a small number of historical projects. Generalization from such limited experience is an inherently underconstrained problem. Hence, the learned effort models can exhibit large deviations that prevent standard statistical methods (e.g., t-tests) from distinguishing the performance of alternative effort-estimation methods. The COSEEKMO effort-modeling workbench applies a set of heuristic rejection rules to comparatively assess results from alternative models. Using these rules, and despite the presence of large deviations, COSEEKMO can rank alternative methods for generating effort models. Based on our experiments with COSEEKMO, we advise a new view on supposed "best practices” in model-based effort estimation: 1) Each such practice should be viewed as a candidate technique which may or may not be useful in a particular domain, and 2) tools like COSEEKMO should be used to help analysts explore and select the best method for a particular domain.