An Artificial Neural Network Model for Project Effort Estimation

Estimating the project effort remains a challenge for managers and estimators. In early phases of project, having high level uncertainty lack experience cause poor estimation required work. Especially projects that produce highly customized unique product each customer, it is challenging to make estimations. Project has been studied mainly software in literature. Currently, there no study on estimating machine development best our knowledge. This aims fill this gap literature regarding projects. Additionally, focused single phase automation phase, which automated according customer-specific requirements. Therefore, crucial. some cases, first time company experienced requirements specific customer. For purpose, proposed model estimate how much work automate machine. Insufficient one main reasons behind failures, nowadays, researchers prefer more objective approaches such as learning over expert-based ones. also an artificial neural network (ANN) purpose. Data from past were used train ANN model. The was tested 11 real-life showed promising results with acceptable prediction accuracy. desktop application developed system easier use managers.