[HTML][HTML] A comprehensive review and assessment of cybersecurity vulnerability detection methodologies
The number of new vulnerabilities continues to rise significantly each year. Simultaneously,
vulnerability databases have challenges in promptly sharing new security events with …
vulnerability databases have challenges in promptly sharing new security events with …
Turkish vowel classification based on acoustical and decompositional features optimized by Genetic Algorithm
In digital speech processing (DSP), vowel classification is one of the important and
challenging issue of automatic speech/speaker recognition (ASR) systems where vowels …
challenging issue of automatic speech/speaker recognition (ASR) systems where vowels …
Initialization of feature selection search for classification
Selecting the best features in a dataset improves accuracy and efficiency of classifiers in a
learning process. Datasets generally have more features than necessary, some of them …
learning process. Datasets generally have more features than necessary, some of them …
Feature selection optimisation of software product line using metaheuristic techniques
The role of software product line (SPL) is very important in representing the same system
with multiple variants. Feature models are used to define SPL. In this paper, genetic …
with multiple variants. Feature models are used to define SPL. In this paper, genetic …
Stability prediction model of roadway surrounding rock based on concept lattice reduction and a symmetric alpha stable distribution probability neural network
Y Liu, Y Ye, Q Wang, X Liu - Applied Sciences, 2018 - mdpi.com
To combat the uncertainty of the multiple factors affecting roadway surrounding rock stability,
five initial indexes are selected for reduction according to concept lattice theory: rock quality …
five initial indexes are selected for reduction according to concept lattice theory: rock quality …
Hybrid Model using Firefly and BBO for Feature Selection in Software Product Line
Background: Software Product Line is the group of multiple software systems that share a
similar set of features with multiple variants. Feature model is used to capture and organize …
similar set of features with multiple variants. Feature model is used to capture and organize …
EvoSPL: An evolutionary approach for adopting software product lines in the automotive industry
K Ignaim - 2021 - search.proquest.com
Algumas empresas desenvolvem uma família de produtos, criando a oportunidade de
reutilizar e diferenciar os produtos da família. Na prática, o desenvolvimento ea evolução de …
reutilizar e diferenciar os produtos da família. Na prática, o desenvolvimento ea evolução de …
A novel hybrid approach for feature selection in software product lines
Abstract Software Product Line (SPL) customizes software by combining various existing
features of the software with multiple variants. The main challenge is selecting valid features …
features of the software with multiple variants. The main challenge is selecting valid features …
Comparing Reusability Metrics of Core Assets Identification in Model-Based Testing for Software Product Line
Many metrics have been proposed in Model-based testing (MBT) for Software Product Lines
(SPLs) to measure reusable core asset represented as feature model (FM). This paper …
(SPLs) to measure reusable core asset represented as feature model (FM). This paper …
Experimenting with Evolutionary Algorithms to Reduce Feature Model Configuration Steps
In the software engineering world, software product lines constitute an approach for building
reliable software systems. These use feature models to capture, develop, and document …
reliable software systems. These use feature models to capture, develop, and document …