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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 …
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 …
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
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 …
models and statistical methods often appear to be inadequate to model the increasingly …
The state‐of‐the‐art in software development effort estimation
The software developers and researchers have been facing difficulties regarding software
development effort estimation (SDEE) since 1960s. Both overestimation and …
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
Software engineering predictive modeling involves construction of models, with the help of
software metrics, for estimating quality attributes. Recently, the use of search-based …
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
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 …
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
Analogy-Based Estimation (ABE) is one of the promising estimation models used for
predicting the software development effort. Researchers proposed different variants of the …
predicting the software development effort. Researchers proposed different variants of the …
Software effort estimation based on the optimal Bayesian belief network
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 …
three levels Bayesian network and 15 components of COCOMO and software size. The …
DABE: Differential evolution in analogy-based software development effort estimation
Several feature weight optimization techniques have been proposed for similarity functions
in analogy-based estimation (ABE); however, no consensus regarding the method and …
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 …
new software system, which is critical to the success of software project management and …