Application of naïve Bayes in classification of use cases

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Abstract

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.

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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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