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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 …
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 …
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 …
A grasshopper optimizer approach for feature selection and optimizing SVM parameters utilizing real biomedical data sets
Support vector machines (SVM) are one of the important techniques used to solve
classifications problems efficiently. Setting support vector machine kernel factors affects the …
classifications problems efficiently. Setting support vector machine kernel factors affects the …
An enhanced salp swarm optimizer boosted by local search algorithm for modelling prediction problems in software engineering
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 …
early estimation of software project development efforts and testing efforts in soft computing …
Supervised machine learning-based salp swarm algorithm for fault diagnosis of photovoltaic systems
The diagnosis of faults in grid-connected photovoltaic (GCPV) systems is a challenging task
due to their complex nature and the high similarity between faults. To address this issue, we …
due to their complex nature and the high similarity between faults. To address this issue, we …
Quantitative CT lung imaging and machine learning improves prediction of emergency room visits and hospitalizations in COPD
Rationale Predicting increased risk of future healthcare utilization in chronic obstructive
pulmonary disease (COPD) patients is an important goal for improving patient management …
pulmonary disease (COPD) patients is an important goal for improving patient management …
Search-based software project management
Project management presents the manager with a complex set of related optimisation
problems. Decisions made can more profoundly affect the outcome of a project than any …
problems. Decisions made can more profoundly affect the outcome of a project than any …
Chronic obstructive pulmonary disease prediction using Internet of things-spiro system and fuzzy-based quantum neural network classifier
Abstract Chronic Obstructive Pulmonary Disease (COPD) is a multifarious progressive
disease that increases the mortality and morbidity ratio as well as becoming a life …
disease that increases the mortality and morbidity ratio as well as becoming a life …
Estimating software effort using neural network: an experimental investigation
Software companies develop various softwares at the same time. It is very critical task that is
to be managed by project managers. Completion of a project is purely dependent on various …
to be managed by project managers. Completion of a project is purely dependent on various …