The adjusted analogy-based software effort estimation based on similarity distances
Journal of Systems and Software
Three empirical studies on estimating the design effort of Web applications
ACM Transactions on Software Engineering and Methodology (TOSEM)
Web Cost Estimation and Productivity Benchmarking
Software Engineering
Fuzzy grey relational analysis for software effort estimation
Empirical Software Engineering
The use of a Bayesian network for web effort estimation
ICWE'07 Proceedings of the 7th international conference on Web engineering
Software project similarity measurement based on fuzzy C-means
ICSP'08 Proceedings of the Software process, 2008 international conference on Making globally distributed software development a success story
Analogy-based software effort estimation using Fuzzy numbers
Journal of Systems and Software
Software effort estimation based on optimized model tree
Proceedings of the 7th International Conference on Predictive Models in Software Engineering
An empirical evaluation of outlier deletion methods for analogy-based cost estimation
Proceedings of the 7th International Conference on Predictive Models in Software Engineering
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
A replicated assessment and comparison of adaptation techniques for analogy-based effort estimation
Empirical Software Engineering
Software process improvement success factors for small and medium Web companies: A qualitative study
Information and Software Technology
EASE'09 Proceedings of the 13th international conference on Evaluation and Assessment in Software Engineering
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
Investigating effort prediction of web-based applications using CBR on the ISBSG dataset
EASE'10 Proceedings of the 14th international conference on Evaluation and Assessment in Software Engineering
EASE'08 Proceedings of the 12th 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
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Analogy-based estimation has, over the last 15 years,and particularly over the last 7 years, emerged as apromising approach with comparable accuracy to, orbetter than, algorithmic methods. In addition, it ispotentially easier to both understand and apply; thesetwo important factors can contribute to the successfuladoption of estimation methods within Web developmentCompanies We believe therefore, analogy-basedestimation should be examined further.This paper replicates previous work that investigatedthe use of two types of adaptation rules as a contributingfactor to better estimation accuracy. In addition, it alsoinvestigates the use of Feature Subset Selection, inaddition to Adaptation rules. Two datasets are used in theanalysis; results show that adaptation rules improvedestimation accuracy for the less "messy" dataset. FeatureSubset Selection also seems to help improve theadaptation results.