This work presents an infrastructure that focuses on the capture and storage of the project execution data history, the prediction of the results of the unit tests through prediction algorithms: Logistic Regression, Naive Bayes and C4.5 Algorithm, and the provision of data for external applications. It also provides preview elements which help in understanding the data.
This work presents an infrastructure that focuses on the capture and storage of the project execution data history, the prediction of the results of the unit tests through prediction algorithms: Logistic Regression, Naive Bayes and C4.5 Algorithm, and the provision of data for external applications. It also provides preview elements which help in understanding the data.