Software effort estimation accuracy prediction of machine learning techniques: A systematic performance evaluation

Y Mahmood, N Kama, A Azmi… - Software: Practice and …, 2022 - Wiley Online Library
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 …

Technological support for detection and prediction of plant diseases: A systematic mapping study

V Bischoff, K Farias, JP Menzen, G Pessin - Computers and Electronics in …, 2021 - Elsevier
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 …

Software effort estimation modeling and fully connected artificial neural network optimization using soft computing techniques

S Kassaymeh, M Alweshah, MA Al-Betar… - Cluster …, 2024 - Springer
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 …

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 …

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 …

Adaptive discretization using golden section to aid outlier detection for software development effort estimation

SS Gautam, V Singh - IEEE Access, 2022 - ieeexplore.ieee.org
The software engineering researchers have worked on different dimensions to facilitate
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 …

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 …

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 …

Integrating Emotional Requirements in Use-Case Point Model for Effort Estimation of Healthcare System

S Hassan, Q Li, A Alwadain, A Yasin, JA Khan - IEEE Access, 2024 - ieeexplore.ieee.org
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 …