Software cost and effort estimation: Current approaches and future trends
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 …
engineering. Research conducted in this field has been evolving with new techniques that …
Extreme learning machine applied to software development effort estimation
The project management process has been used in the area of Software Engineering to
support project managers to keep projects under control. One of the essential processes in …
support project managers to keep projects under control. One of the essential processes in …
Software effort estimation modeling and fully connected artificial neural network optimization using soft computing techniques
In software engineering, the planning and budgeting stages of a software project are of great
importance to all stakeholders, including project managers as well as clients. The estimated …
importance to all stakeholders, including project managers as well as clients. The estimated …
Heterogeneous ensemble model to optimize software effort estimation accuracy
The software industry has experienced rapid expansion in recent years, with software
development now essential to the success of many multinational corporations. The demand …
development now essential to the success of many multinational corporations. The demand …
Prediction based cost estimation technique in agile development
SA Butt, T Ercan, M Binsawad, PP Ariza-Colpas… - … in engineering software, 2023 - Elsevier
Agile has been invented to improve and overcome the deficiencies of efficient software
development. At present, the agile model is used in software development vastly due to its …
development. At present, the agile model is used in software development vastly due to its …
Comparing multiple linear regression, deep learning and multiple perceptron for functional points estimation
This study compares the performance of Pytorch-based Deep Learning, Multiple Perceptron
Neural Networks with Multiple Linear Regression in terms of software effort estimations …
Neural Networks with Multiple Linear Regression in terms of software effort estimations …
IoT technology enabled heuristic model with Morlet wavelet neural network for numerical treatment of heterogeneous mosquito release ecosystem
The utmost advancements of artificial neural networks (ANNs), software-defined networks
(SDNs) and internet of things (IoT) technologies find beneficial in different applications of the …
(SDNs) and internet of things (IoT) technologies find beneficial in different applications of the …
Parameters optimization of taguchi method integrated hybrid harmony search algorithm for engineering design problems
Performance of convergence to the optimum value is not completely a known process due to
characteristics of the considered design problem and floating values of optimization …
characteristics of the considered design problem and floating values of optimization …
Improved effort and cost estimation model using artificial neural networks and taguchi method with different activation functions
N Rankovic, D Rankovic, M Ivanovic, L Lazic - Entropy, 2021 - mdpi.com
Software estimation involves meeting a huge number of different requirements, such as
resource allocation, cost estimation, effort estimation, time estimation, and the changing …
resource allocation, cost estimation, effort estimation, time estimation, and the changing …
A random forest model for early-stage software effort estimation for the SEERA dataset
EI Mustafa, R Osman - Information and Software Technology, 2024 - Elsevier
Context Publicly available software cost estimation datasets are outdated and may not
represent current industrial environments. Thus most research has concentrated on the …
represent current industrial environments. Thus most research has concentrated on the …