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 …

Advancement from neural networks to deep learning in software effort estimation: Perspective of two decades

PS Kumar, HS Behera, A Kumari, J Nayak… - Computer Science …, 2020 - Elsevier
In the software engineering, estimation of the effort, time and cost required for the
development of software projects is an important issue. It is a very difficult task for project …

Heterogeneous ensemble model to optimize software effort estimation accuracy

SS Ali, J Ren, K Zhang, J Wu, C Liu - IEEE Access, 2023 - ieeexplore.ieee.org
The software industry has experienced rapid expansion in recent years, with software
development now essential to the success of many multinational corporations. The demand …

Parametric software effort estimation based on optimizing correction factors and multiple linear regression

HLTK Nhung, V Van Hai, R Silhavy, Z Prokopova… - Ieee …, 2021 - ieeexplore.ieee.org
Context: Effort estimation is one of the essential phases that must be accurately predicted in
the early stage of software project development. Currently, solving problems that affect the …

Effort and Cost Estimation Using Decision Tree Techniques and Story Points in Agile Software Development

E Rodríguez Sánchez, EF Vázquez Santacruz… - Mathematics, 2023 - mdpi.com
Early effort estimation is important for efficiently planning the use of resources in an
Information Technology (IT) project. However, limited research has been conducted on the …

Predicting software effort from use case points: A systematic review

M Azzeh, AB Nassif, IB Attili - Science of Computer Programming, 2021 - Elsevier
Context: Predicting software project effort from Use Case Points (UCP) method is
increasingly used among researchers and practitioners. However, unlike other effort …

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 …

[HTML][HTML] Framework to improve software effort estimation accuracy using novel ensemble rule

SS Ali, J Ren, J Wu - Journal of King Saud University-Computer and …, 2024 - Elsevier
This investigation focuses on refining software effort estimation (SEE) to enhance project
outcomes amidst the rapid evolution of the software industry. Accurate estimation is a …

HSCWMA: A new hybrid SCA-WMA algorithm for solving optimization problems

MK Parizi, F Keynia, AK Bardsiri - International Journal of …, 2021 - World Scientific
Hybrid metaheuristic algorithms have recently become an interesting topic in solving
optimization problems. The woodpecker mating algorithm (WMA) and the sine cosine …

A novel UCP model based on artificial neural networks and orthogonal arrays

N Rankovic, D Rankovic, M Ivanovic, L Lazic - Applied Sciences, 2021 - mdpi.com
Adequate estimation is a crucial factor for the implementation of software projects within set
customer requirements. The use of Case Point Analysis (UCP) is the latest and most …