Introduction to Grey system theory
The Journal of Grey System
A Validity Measure for Fuzzy Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
A Comparative Study of Cost Estimation Models for Web Hypermedia Applications
Empirical Software Engineering
Software effort estimation by analogy and "regression toward the mean"
Journal of Systems and Software - Special issue: Best papers on Software Engineering from the SEKE'01 Conference
Feature subset selection can improve software cost estimation accuracy
PROMISE '05 Proceedings of the 2005 workshop on Predictor models in software engineering
Using Grey Relational Analysis to Predict Software Effort with Small Data Sets
METRICS '05 Proceedings of the 11th IEEE International Software Metrics Symposium
Software Development Effort Estimation Using Fuzzy Logic: A Case Study
ENC '05 Proceedings of the Sixth Mexican International Conference on Computer Science
Optimal Project Feature Weights in Analogy-Based Cost Estimation: Improvement and Limitations
IEEE Transactions on Software Engineering
Improving analogy-based software cost estimation by a resampling method
Information and Software Technology
Analysis of attribute weighting heuristics for analogy-based software effort estimation method AQUA+
Empirical Software Engineering
APSEC '07 Proceedings of the 14th Asia-Pacific Software Engineering Conference
Multi-criteria decision analysis for customization of estimation by analogy method AQUA+
Proceedings of the 4th international workshop on Predictor models in software engineering
Experiments with Analogy-X for Software Cost Estimation
ASWEC '08 Proceedings of the 19th Australian Conference on Software 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
Systematic literature review of machine learning based software development effort estimation models
Information and Software Technology
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Delivering accurate software effort estimation has been a research challenge for a long time, where none of the existing estimation methods has proven to consistently deliver an accurate estimate. Previous studies have demonstrated that estimation by analogy (EBA) is a viable alternative to other conventional estimation methods in terms of predictive accuracy. EBA offers a way to use a formal method with data from a past project to derive a new estimate. Two important research areas in EBA are addressed in this paper: software projects similarity measurement and attribute weighting. However, the inherent uncertainty of attribute measurement makes similarity measurement between two software projects subject to considerable uncertainty. To tolerate such inherent uncertainty we propose a new similarity measurement method by combining the advantages of Fuzzy Set Theory and Grey Relational Analysis. In addition, since each attribute has different influence on the project retrieval we propose a new approach to deal with this issue based upon the idea of Kendall's coefficient of concordance between the similarity matrix of project attributes and the similarity matrix of known effort values of the dataset. Our results show improved prediction accuracy when multiple project attributes are used with determined weights.