Fuzzy Sets and Systems - Special issue: fuzzy sets: where do we stand? Where do we go?
Estimating Software Project Effort Using Analogies
IEEE Transactions on Software Engineering
Software cost estimation with fuzzy models
ACM SIGAPP Applied Computing Review
Search Heuristics, Case-based Reasoning And Software Project Effort Prediction
GECCO '02 Proceedings of the Genetic and Evolutionary Computation Conference
ISESE '02 Proceedings of the 2002 International Symposium on Empirical Software Engineering
Do adaptation rules improve web cost estimation?
Proceedings of the fourteenth ACM conference on Hypertext and hypermedia
An introduction to variable and feature selection
The Journal of Machine Learning Research
A Simulation Study of the Model Evaluation Criterion MMRE
IEEE Transactions on Software Engineering
ISESE '04 Proceedings of the 2004 International Symposium on Empirical Software Engineering
Toward Integrating Feature Selection Algorithms for Classification and Clustering
IEEE Transactions on Knowledge and Data Engineering
Feature subset selection can improve software cost estimation accuracy
PROMISE '05 Proceedings of the 2005 workshop on Predictor models in software engineering
A soft computing framework for software effort estimation
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Software Development Effort Estimation Using Fuzzy Logic: A Case Study
ENC '05 Proceedings of the Sixth Mexican International Conference on Computer Science
A comparative study of attribute weighting heuristics for effort estimation by analogy
Proceedings of the 2006 ACM/IEEE international symposium on Empirical software engineering
Improving the COCOMO model using a neuro-fuzzy approach
Applied Soft Computing
The adjusted analogy-based software effort estimation based on similarity distances
Journal of Systems and Software
Selecting Best Practices for Effort Estimation
IEEE Transactions on Software Engineering
Feature weighting heuristics for analogy-based effort estimation models
Expert Systems with Applications: An International Journal
Improving the accuracy of effort estimation through fuzzy set combination of size and cost drivers
WSEAS Transactions on Computers
Fuzzy grey relational analysis for software effort estimation
Empirical Software Engineering
Case-based reasoning vs parametric models for software quality optimization
Proceedings of the 6th International Conference on Predictive Models in Software Engineering
Systematic literature review of machine learning based software development effort estimation models
Information and Software Technology
A replicated assessment and comparison of adaptation techniques for analogy-based effort estimation
Empirical Software Engineering
International Journal of Intelligent Information Technologies
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One of the major problems with software project management is the difficulty to predict accurately the required effort for developing software applications. Analogy Software effort estimation appears well suited to model problems of this nature. The analogy approach may be viewed as a systematic development of the expert opinion through experience learning and exposure to analogue case studies. The accuracy of such model depends on characteristics of datasets. This paper examines the impact of feature subset selection algorithms on improving the accuracy of analogy software effort estimation model. We proposed a feature subset selection algorithm based on fuzzy logic for analogy software effort estimation models. Validation using two established datasets (ISBSG, Desharnais) shows that using fuzzy features subset selection algorithm in analogy software effort estimation contribute to significant results as other algorithms: Hill climbing, Forward subset selection, and backward subset selection do.