Our supportive method helps improve accuracy of software effort estimation, using results of classification of Use Cases. They are classified using machine-learning method called Naïve Bayes Classifier. The result of this classification helps determine the risk of underestimation of tasks in future work on the software project.
CITATION STYLE
Štrba, R., Briš, R., Vondrák, I., & Štolfa, S. (2016). Application of naïve Bayes in classification of use cases. In Advances in Intelligent Systems and Computing (Vol. 427, pp. 361–370). Springer Verlag. https://doi.org/10.1007/978-3-319-29504-6_35
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