Application of Naïve Bayes in Classification of Use Cases.

Radoslav Strba,Radim Bris,Ivo Vondrák,Svatopluk Stolfa

PROCEEDINGS OF THE SECOND INTERNATIONAL AFRO-EUROPEAN CONFERENCE FOR INDUSTRIAL ADVANCEMENT (AECIA 2015)（2016）

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摘要

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 Naive 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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关键词

Naive Bayes,Classification,Effort estimation,Use case

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