Please click on one of the flags to reset Reading-Direction if you consider the current setting invalid

TreeNet Model Based Prediction of Testing Effort Class

Views  347
Rating  0

 صفا سعد عباس المرعب
11/10/2018 19:39:32
تصفح هذه الورقة الالكترونية بتقنية Media To Flash Paper
This strudy presents the use of the regression capability of the TreeNet regression tool to predict software class testing effort using a dataset obtained from Apache Ant l. 70. A total of twelve models with different loss regression criterion, were built with each set of predictor variables to predict the code lines (DLOC) and the Test Cases Number (NTC) of a test class. Six of the models were built using all the variables and the remaining six with subsets of the variables that were found important to their respective models. The subsets of variables were selected using a stepwise regression tool. The comparison between the TreeNet regression models results and Multi-Linear Regression (MLR) showed that the TreeNet regression models are better and further confirmed the prediction capability of the TreeNet regression tool.

  • وصف الــ Tags لهذا الموضوع
  • prediction, software s effort