Systematic literature review of machine learning based software development effort estimation models
CONTEXT: Software development effort estimation (SDEE) is the process of predicting the
effort required to develop a software system. In order to improve estimation accuracy, many …
effort required to develop a software system. In order to improve estimation accuracy, many …
Systematic literature review of ensemble effort estimation
The need to overcome the weaknesses of single estimation techniques for prediction tasks
has given rise to ensemble methods in software development effort estimation (SDEE). An …
has given rise to ensemble methods in software development effort estimation (SDEE). An …
River suspended sediment load prediction based on river discharge information: application of newly developed data mining models
Suspended sediment load (SSL) is one of the essential hydrological processes that affects
river engineering sustainability. Sediment has a major influence on the operation of dams …
river engineering sustainability. Sediment has a major influence on the operation of dams …
Polypropylene waste plastic fiber morphology as an influencing factor on the performance and durability of concrete: experimental investigation, soft-computing …
The increasing waste of plastic masses raises the danger alarm due to its adverse impacts
on people and the natural environment. Hence, serious attempts should be made to manage …
on people and the natural environment. Hence, serious attempts should be made to manage …
Design ensemble deep learning model for pneumonia disease classification
K El Asnaoui - International Journal of Multimedia Information …, 2021 - Springer
With the recent spread of the SARS-CoV-2 virus, computer-aided diagnosis (CAD) has
received more attention. The most important CAD application is to detect and classify …
received more attention. The most important CAD application is to detect and classify …
GA-based method for feature selection and parameters optimization for machine learning regression applied to software effort estimation
ALI Oliveira, PL Braga, RMF Lima… - information and Software …, 2010 - Elsevier
CONTEXT: In software industry, project managers usually rely on their previous experience
to estimate the number men/hours required for each software project. The accuracy of such …
to estimate the number men/hours required for each software project. The accuracy of such …
[HTML][HTML] Ensembles and locality: Insight on improving software effort estimation
LL Minku, X Yao - Information and Software Technology, 2013 - Elsevier
CONTEXT: Ensembles of learning machines and locality are considered two important
topics for the next research frontier on Software Effort Estimation (SEE). OBJECTIVES: We …
topics for the next research frontier on Software Effort Estimation (SEE). OBJECTIVES: We …
Research patterns and trends in software effort estimation
Context Software effort estimation (SEE) is most crucial activity in the field of software
engineering. Vast research has been conducted in SEE resulting into a tremendous …
engineering. Vast research has been conducted in SEE resulting into a tremendous …
Improved estimation of software development effort using classical and fuzzy analogy ensembles
Delivering an accurate estimate of software development effort plays a decisive role in
successful management of a software project. Therefore, several effort estimation …
successful management of a software project. Therefore, several effort estimation …
On the value of parameter tuning in heterogeneous ensembles effort estimation
Accurate estimation of software development effort estimation (SDEE) is fundamental for
efficient management of software development projects as it assists software managers to …
efficient management of software development projects as it assists software managers to …