Introduction to Grey system theory
The Journal of Grey System
Effort estimation using analogy
Proceedings of the 18th international conference on Software engineering
Estimating Software Project Effort Using Analogies
IEEE Transactions on Software Engineering
On-Demand Forecasting of Stock Prices Using a Real-Time Predictor
IEEE Transactions on Knowledge and Data Engineering
Using Grey Relational Analysis to Predict Software Effort with Small Data Sets
METRICS '05 Proceedings of the 11th IEEE International Software Metrics Symposium
A flexible method for software effort estimation by analogy
Empirical Software Engineering
A Systematic Review of Software Development Cost Estimation Studies
IEEE Transactions on Software Engineering
Improving analogy-based software cost estimation by a resampling method
Information and Software Technology
APSEC '07 Proceedings of the 14th Asia-Pacific Software Engineering Conference
Comparing cost prediction models by resampling techniques
Journal of Systems and Software
Fuzzy grey relational analysis for software effort estimation
Empirical Software Engineering
Empirical Software Engineering
Analogy-based software effort estimation using Fuzzy numbers
Journal of Systems and Software
Predicting software project effort: A grey relational analysis based method
Expert Systems with Applications: An International Journal
Target tracking using a hierarchical grey-fuzzy motion decision-making method
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
The gray prediction search algorithm for block motion estimation
IEEE Transactions on Circuits and Systems for Video Technology
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Efficient development of software requires accurate estimates. It is unlikely to expect very accurate estimates of software development effort because of the inherent uncertainty in software development projects and the complex and dynamic interaction of factors that impact software development. In this study, two analogy methods based on integration of Grey Relational Effort Analysis Technique using Robust Regression Methods with and without feature subset selection have been proposed. In the previous, Grey Relational based effort estimation studies, GRA is used to assess similarity between projects with m features and effort is estimated from k most similar projects. In the proposed methodologies, the effort of the reference project is estimated by applying regression techniques to k most similar projects obtained using GRA as the similarity metric. Empirical results obtained are statistically significant, indicating that the methodology has great potential and can be used as a candidate approach for software effort estimation.