Solar radiation prediction using different machine learning algorithms and implications for extreme climate events

L Huang, J Kang, M Wan, L Fang, C Zhang… - Frontiers in Earth …, 2021 - frontiersin.org
Solar radiation is the Earth's primary source of energy and has an important role in the
surface radiation balance, hydrological cycles, vegetation photosynthesis, and weather and …

Satin bowerbird optimizer: A new optimization algorithm to optimize ANFIS for software development effort estimation

SHS Moosavi, VK Bardsiri - Engineering Applications of Artificial …, 2017 - Elsevier
Accurate software development effort estimation is crucial to efficient planning of software
projects. Due to complex nature of software projects, development effort estimation has …

An empirical analysis of data preprocessing for machine learning-based software cost estimation

J Huang, YF Li, M **e - Information and software Technology, 2015 - Elsevier
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 …

The state‐of‐the‐art in software development effort estimation

SS Gautam, V Singh - Journal of Software: Evolution and …, 2018 - Wiley Online Library
The software developers and researchers have been facing difficulties regarding software
development effort estimation (SDEE) since 1960s. Both overestimation and …

On the application of search-based techniques for software engineering predictive modeling: A systematic review and future directions

R Malhotra, M Khanna, RR Raje - Swarm and Evolutionary Computation, 2017 - Elsevier
Software engineering predictive modeling involves construction of models, with the help of
software metrics, for estimating quality attributes. Recently, the use of search-based …

Cross-validation based K nearest neighbor imputation for software quality datasets: an empirical study

J Huang, JW Keung, F Sarro, YF Li, YT Yu… - Journal of Systems and …, 2017 - Elsevier
Being able to predict software quality is essential, but also it pose significant challenges in
software engineering. Historical software project datasets are often being utilized together …

Ensembling artificial bee colony with analogy-based estimation to improve software development effort prediction

MA Shah, DNA Jawawi, MA Isa, M Younas… - IEEE …, 2020 - ieeexplore.ieee.org
Analogy-Based Estimation (ABE) is one of the promising estimation models used for
predicting the software development effort. Researchers proposed different variants of the …

Software effort estimation based on the optimal Bayesian belief network

F Zare, HK Zare, MS Fallahnezhad - Applied Soft Computing, 2016 - Elsevier
In this paper, we present a model for software effort (person-month) estimation based on
three levels Bayesian network and 15 components of COCOMO and software size. The …

DABE: Differential evolution in analogy-based software development effort estimation

TR Benala, R Mall - Swarm and Evolutionary Computation, 2018 - Elsevier
Several feature weight optimization techniques have been proposed for similarity functions
in analogy-based estimation (ABE); however, no consensus regarding the method and …

Case-based reasoning with optimized weight derived by particle swarm optimization for software effort estimation

D Wu, J Li, C Bao - Soft Computing, 2018 - Springer
Software effort estimation (SEE) is the process of forecasting the effort required to develop a
new software system, which is critical to the success of software project management and …