Comparison of the classification methods in software development effort estimation

The inaccuracy of software cost estimation has been one of the important reasons for the frustration of software experts and cost estimation researchers. Despite the many efforts made to improve it, the estimation accuracy is still low. The lack of proper analysis at the beginning of the project, as well as the failure to update it during the project, is one of the most important reasons for the failure of projects. Although feedback is generated when a project is closed, if the recorded estimates and actuals do not fully match the completed project, then an accurate estimate cannot be expected. Therefore, it is necessary to collect project data based on certain characteristics, and this is where you can understand the bold role of projects done in the past and the data sets that can be created using them. In this study, we investigated the role of different classification methods in software effort estimation.The inaccuracy of software cost estimation has been one of the important reasons for the frustration of software experts and cost estimation researchers. Despite the many efforts made to improve it, the estimation accuracy is still low. The lack of proper analysis at the beginning of the project, as well as the failure to update it during the project, is one of the most important reasons for the failure of projects. Although feedback is generated when a project is closed, if the recorded estimates and actuals do not fully match the completed project, then an accurate estimate cannot be expected. Therefore, it is necessary to collect project data based on certain characteristics, and this is where you can understand the bold role of projects done in the past and the data sets that can be created using them. In this study, we investigated the role of different classification methods in software effort estimation.The inaccuracy of software cost estimation has been one of the important reasons for the frustration of software experts and cost estimation researchers. Despite the many efforts made to improve it, the estimation accuracy is still low. The lack of proper analysis at the beginning of the project, as well as the failure to update it during the project, is one of the most important reasons for the failure of projects.