Engineering ai systems: A research agenda

J Bosch, HH Olsson, I Crnkovic - Artificial intelligence paradigms for …, 2021 - igi-global.com
Artificial intelligence (AI) and machine learning (ML) are increasingly broadly adopted in
industry. However, based on well over a dozen case studies, we have learned that …

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 …

Software development effort estimation using regression fuzzy models

AB Nassif, M Azzeh, A Idri… - Computational intelligence …, 2019 - Wiley Online Library
Software effort estimation plays a critical role in project management. Erroneous results may
lead to overestimating or underestimating effort, which can have catastrophic consequences …

Evaluation of estimation in software development using deep learning-modified neural network

N Sreekanth, J Rama Devi, KA Shukla, DK Mohanty… - Applied …, 2023 - Springer
For both clients and developers in the development of software, the effort estimate is vital.
Lower efforts may lead to poorly created processes, low-quality and delayed budgets being …

An enhanced salp swarm optimizer boosted by local search algorithm for modelling prediction problems in software engineering

S Kassaymeh, S Abdullah, MA Al-Betar… - Artificial Intelligence …, 2023 - Springer
Scientific communities are still motivated to create novel approaches and methodologies for
early estimation of software project development efforts and testing efforts in soft computing …

Toward improving the efficiency of software development effort estimation via clustering analysis

V Van Hai, HLTK Nhung, Z Prokopova, R Silhavy… - IEEE …, 2022 - ieeexplore.ieee.org
Introduction: The precise estimation of software effort is a significant difficulty that project
managers encounter during software development. Inaccurate forecasting leads to either …

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 …

A systematic review of studies on use case points and expert‐based estimation of software development effort

Y Mahmood, N Kama, A Azmi - Journal of Software: Evolution …, 2020 - Wiley Online Library
In recent years, due to significant evolution in adopting new technologies and development
methodologies in the field of software engineering, the developers and researchers are …

Categorical variable segmentation model for software development effort estimation

P Silhavy, R Silhavy, Z Prokopova - IEEE Access, 2019 - ieeexplore.ieee.org
This paper proposes a new software development effort estimation model. The new model's
design is based on the function point analysis, categorical variable segmentation (CVS), and …

Predicting poverty using geospatial data in Thailand

N Puttanapong, A Martinez Jr, JAN Bulan… - … International Journal of …, 2022 - mdpi.com
Poverty statistics are conventionally compiled using data from socioeconomic surveys. This
study examines an alternative approach to estimating poverty by investigating whether …