Evolution of software development effort and cost estimation techniques: five decades study using automated text mining approach
A Jadhav, M Kaur, F Akter - Mathematical Problems in …, 2022 - Wiley Online Library
Software development effort and cost estimation (SDECE) is one of the most important tasks
in the field of software engineering. A large number of research papers have been published …
in the field of software engineering. A large number of research papers have been published …
Research patterns and trends in software effort estimation
Context Software effort estimation (SEE) is most crucial activity in the field of software
engineering. Vast research has been conducted in SEE resulting into a tremendous …
engineering. Vast research has been conducted in SEE resulting into a tremendous …
Poor and rich optimization algorithm: A new human-based and multi populations algorithm
SHS Moosavi, VK Bardsiri - Engineering applications of artificial intelligence, 2019 - Elsevier
This paper presents a new optimization algorithm called poor and rich optimization (PRO).
This algorithm is inspired by the efforts of the two groups of the poor and the rich to achieve …
This algorithm is inspired by the efforts of the two groups of the poor and the rich to achieve …
An empirical analysis of data preprocessing for machine learning-based software cost estimation
Context Due to the complex nature of software development process, traditional parametric
models and statistical methods often appear to be inadequate to model the increasingly …
models and statistical methods often appear to be inadequate to model the increasingly …
[HTML][HTML] Analysis and selection of a regression model for the use case points method using a stepwise approach
This study investigates the significance of use case points (UCP) variables and the influence
of the complexity of multiple linear regression models on software size estimation and …
of the complexity of multiple linear regression models on software size estimation and …
Software defect prediction for healthcare big data: an empirical evaluation of machine learning techniques
Software defect prediction (SDP) in the initial period of the software development life cycle
(SDLC) remains a critical and important assignment. SDP is essentially studied during few …
(SDLC) remains a critical and important assignment. SDP is essentially studied during few …
Estimating software development efforts using a random forest-based stacked ensemble approach
Software Project Estimation is a challenging and important activity in developing software
projects. Software Project Estimation includes Software Time Estimation, Software Resource …
projects. Software Project Estimation includes Software Time Estimation, Software Resource …
Detection of multiple-mix-attack malicious nodes using perceptron-based trust in IoT networks
Abstract The Internet of Things (IoT) has experienced a rapid growth in the last few years
allowing different Internet-enabled devices to interact with each other in various …
allowing different Internet-enabled devices to interact with each other in various …
Neural network models for software development effort estimation: a comparative study
Software development effort estimation (SDEE) is one of the main tasks in software project
management. It is crucial for a project manager to efficiently predict the effort or cost of a …
management. It is crucial for a project manager to efficiently predict the effort or cost of a …
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 …