Artificial intelligence (AI) and machine learning (ML) are increasingly broadly adopted in
industry. However, based on well over a dozen case studies, we have learned that …

Software cost and effort estimation is one of the most significant tasks in the area of software
engineering. Research conducted in this field has been evolving with new techniques that …

Software development companies have long suffered from inaccurate estimation of their
software projects. This in turn led to huge losses, especially in the financial resources …

Introduction: The precise estimation of software effort is a significant difficulty that project
managers encounter during software development. Inaccurate forecasting leads to either …

This study compares the performance of Pytorch-based Deep Learning, Multiple Perceptron
Neural Networks with Multiple Linear Regression in terms of software effort estimations …

Software developers in big and medium-size companies are working with millions of lines of
code in their codebases. Assuring the quality of this code has shifted from simple defect …

Software size estimation represents a complex task, which is based on data analysis or on
an algorithmic estimation approach. Software size estimation is a nontrivial task, which 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 …

Software engineering's primary task is analogy-centric effort estimation. In this, by utilizing
the existent histories, the effort needed for new software projects was estimated for the …

Abstract Background/Objective: In Software Effort Estimation (SEE), predicting the amount of
time taken in human hours or months for software development is considered as a …