2017 4th NAFOSTED Conference on Information and Computer Science 2017
DOI: 10.1109/nafosted.2017.8108067
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Cited by 2 publications
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“…target that enters the model, the procedure calculates the predicted value of a [49]. KNN was previously used for estimating effort and provided better results in comparison to other techniques [50], [51]. However, what distinguishes this study is that it is performed on a local set of data on a project driven by agile methodology while applying iterative effort modeling per sprint.…”
Section: K-nearest Neighbor Algorithmmentioning
confidence: 99%
“…target that enters the model, the procedure calculates the predicted value of a [49]. KNN was previously used for estimating effort and provided better results in comparison to other techniques [50], [51]. However, what distinguishes this study is that it is performed on a local set of data on a project driven by agile methodology while applying iterative effort modeling per sprint.…”
Section: K-nearest Neighbor Algorithmmentioning
confidence: 99%