This study compares the performance of Pytorch-based Deep Learning, Multiple Perceptron Neural Networks with Multiple Linear Regression in terms of software effort estimations …
The estimation of the Software Development Effort,(further only SDE), value is critical for the effective management of any software industry. Function Point Analysis,(further only FPA)-is …
Function point analysis is a widely used metric in the software industry for development effort estimation. It was proposed in the 1970s, and then standardized by the International …
This study focuses on improving the accuracy of effort estimation by employing ensemble, deep learning, and transfer learning techniques. An ensemble approach is utilized …
Background: There are many studies on the effect of data clustering on the effort estimation process. Most of them are on partitioning and density-based clustering, and some use …
Z Prokopova, P Šilhavý, R Šilhavý - Annals of DAAAM and …, 2018 - publikace.k.utb.cz
The paper presents the Function Points (FP) method, which can be used for a preliminary effort estimation using limited information. Despite the potential for early use of the effort …
VV Hai, HLTK Nhung, HT Hoc - … in Intelligent Systems: Proceedings of 4th …, 2020 - Springer
The estimation of software development effort is a critical task for the effective management of any software industry. Despite the fact that it has been under development for a long time …
Function point analysis is a widely used metric in the software industry for development effort estimation. It was proposed in the 1970s, and then standardized by the International …
Software effort estimation in a very early stage of the application development lifecycle is always a challenge for project managers. Many researchers have proposed different …