Software effort estimation accuracy prediction of machine learning techniques: A systematic performance evaluation
Software effort estimation accuracy is a key factor in effective planning, controlling, and
delivering a successful software project within budget and schedule. The overestimation and …
delivering a successful software project within budget and schedule. The overestimation and …
Technological support for detection and prediction of plant diseases: A systematic mapping study
The field of plant disease diagnosis and epidemiology seeks to assess symptoms caused by
pathogens. Different infectious and non-infectious agents can cause similar symptoms in …
pathogens. Different infectious and non-infectious agents can cause similar symptoms 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 …
On the effects of continuous delivery on code quality: A case study in industry
M Rubert, K Farias - Computer Standards & Interfaces, 2022 - Elsevier
Continuous delivery has been adopted by organizations to make software available to their
users at any time. The transition from traditional software delivery methodologies to …
users at any time. The transition from traditional software delivery methodologies to …
Machine learning techniques for software testing effort prediction
C López-Martín - Software Quality Journal, 2022 - Springer
Software testing (ST) has been considered as one of the most important and critical activities
of the software development life cycle (SDLC) since it influences directly on quality. When a …
of the software development life cycle (SDLC) since it influences directly on quality. When a …
Adaptive discretization using golden section to aid outlier detection for software development effort estimation
The software engineering researchers have worked on different dimensions to facilitate
better software effort estimates, including those focusing on dataset quality improvement. In …
better software effort estimates, including those focusing on dataset quality improvement. In …
Improving the software estimation models based on functional size through validation of the assumptions behind the linear regression and the use of the confidence …
F Valdés-Souto, L Naranjo-Albarrán - Programming and Computer …, 2021 - Springer
Context: For more than six decades, software cost/effort estimation has been a relevant topic
for research because of its impact on the industry. Although there are many estimation …
for research because of its impact on the industry. Although there are many estimation …
Propose-specific information related to prediction level at X and mean magnitude of relative error: A case study of software effort estimation
H Huynh Thai, P Silhavy, M Fajkus, Z Prokopova… - Mathematics, 2022 - mdpi.com
The prediction level at x (PRED (x)) and mean magnitude of relative error (MMRE) are
measured based on the magnitude of relative error between real and predicted values. They …
measured based on the magnitude of relative error between real and predicted values. They …
Uncovering the hidden potential of event-driven architecture: A research agenda
L Lazzari, K Farias - arXiv preprint arXiv:2308.05270, 2023 - arxiv.org
Event-driven architecture has been widely adopted in the software industry, emerging as an
alternative to modular development to support rapid adaptations of constantly evolving …
alternative to modular development to support rapid adaptations of constantly evolving …
Integrating Emotional Requirements in Use-Case Point Model for Effort Estimation of Healthcare System
The software industry was greatly affected by the pandemic. The emotions and human
behavior of software developers and users greatly affected the development of software …
behavior of software developers and users greatly affected the development of software …