A comparative study of attribute weighting heuristics for effort estimation by analogy
Proceedings of the 2006 ACM/IEEE international symposium on Empirical software engineering
A flexible method for software effort estimation by analogy
Empirical Software Engineering
Mining software repositories for comprehensible software fault prediction models
Journal of Systems and Software
Cases, Predictions, and Accuracy Learning and Its Application to Effort Estimation
ECCBR '08 Proceedings of the 9th European conference on Advances in Case-Based Reasoning
Why comparative effort prediction studies may be invalid
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
Fuzzy grey relational analysis for software effort estimation
Empirical Software Engineering
Integrate the GM(1,1) and Verhulst models to predict software stage effort
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Analogy-based software effort estimation using Fuzzy numbers
Journal of Systems and Software
Comparison of weighted grey relational analysis for software effort estimation
Software Quality Control
Predicting software project effort: A grey relational analysis based method
Expert Systems with Applications: An International Journal
Recent methods for software effort estimation by analogy
ACM SIGSOFT Software Engineering Notes
Information Sciences: an International Journal
Nearest neighbor selection for iteratively kNN imputation
Journal of Systems and Software
Analyzing software effort estimation using k means clustered regression approach
ACM SIGSOFT Software Engineering Notes
Grey relational effort analysis technique using robust regression methods for individual projects
International Journal of Computational Intelligence Studies
Feature weighted unsupervised classification algorithm and adaptation for software cost estimation
International Journal of Computational Intelligence Studies
An integrated fuzzy-grey based approach to group decision making problem for a wagon company
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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The inherent uncertainty of the software development process presents particular challenges for software effort prediction. We need to systematically address missing data values, feature subset selection and the continuous evolution of predictions as the project unfolds, and all of this in the context of data-starvation and noisy data. However, in this paper, we particularly focus on feature subset selection and effort prediction at an early stage of a project. We propose a novel approach of using Grey Relational Analysis (GRA) of Grey System Theory (GST), which is a recently developed system engineering theory based on the uncertainty of small samples. In this work we address some of the theoretical challenges in applying GRA to feature subset selection and effort prediction, and then evaluate our approach on five publicly available industrial data sets using stepwise regression as a benchmark. The results are very encouraging in the sense of being comparable or better than other machine learning techniques and thus indicate that the method has considerable potential.