Creating resilient machine learning (ML) systems has become necessary to...
Load forecasting is a crucial topic in energy management systems (EMS) d...
Most machine learning methods assume that the input data distribution is...
Data quality assessment has become a prominent component in the successf...
Digital twins (DT) of industrial processes have become increasingly
impo...
Today, machine learning (ML) is widely used in industry to provide the c...
Most industrial processes in real-world manufacturing applications are
c...
There is often a scarcity of training data for machine learning (ML)
cla...
Finite State Machine is a popular modeling notation for various systems,...
Ongoing research on anomaly detection for the Internet of Things (IoT) i...
The dynamicity of real-world systems poses a significant challenge to
de...
Test Coverage criteria are an essential concept for test engineers when
...
Model-based Testing (MBT) is an effective approach for testing when part...
Defects during production may lead to material waste, which is a signifi...
This paper discusses a new variant of the Henry Gas Solubility Optimizat...
With the rapid growth of the contemporary Internet of Things (IoT) marke...
The current development of the Internet of Things (IoT) technology poses...
Software module clustering is an unsupervised learning method used to cl...
Quality and reliability metrics play an important role in the evaluation...
Code coverage has been used in the software testing context mostly as a
...
The recent active development of Internet of Things (IoT) solutions in
v...
To effectively test parts of the Internet of Things (IoT) systems with a...
As the popularity of Smart Televisions (TVs) and interactive Smart TV
ap...
Hyper-heuristic is a new methodology for the adaptive hybridization of
m...
Smart TV application (app) is a new technological software app that can ...
This paper presents the outcome of a research collaboration between acad...
A natural method to evaluate the effectiveness of a testing technique is...
Nowadays, ensuring the quality becomes challenging for most modern softw...
Combinatorial interaction testing (CIT) is a useful testing technique to...
Combinatorial interaction testing has been addressed as an effective sof...
Owing to the significance of combinatorial search strategies both for
ac...
Smart TVs are coming to dominate the television market. This accompanied...
Context: Software has become an innovative solution nowadays for many
ap...
Testing processes and workflows in information and Internet of Things sy...
Smart TV applications are software applications that have been designed ...
Combinatorial interaction testing (CIT) is a well-known technique, but t...
Although showing competitive performances in many real-world optimizatio...
Flower Pollination Algorithm (FPA) is the new breed of metaheuristic for...
In the past few years, mobile devices have been increasingly replacing
t...
Internet of Things (IoT) is an emerging technology that has the promisin...
Categorization of quality characteristics helps in a more effective
stru...
Combinatorial interaction testing is an important software testing techn...
Contemporary development of the Internet of Things (IoT) technology brin...
The sine-cosine algorithm (SCA) is a new population-based meta-heuristic...
Generally, combinatorial design concerns with the arrangement of a finit...
Context: Combinatorial testing strategies have lately received a lot of
...
Executing various sequences of system functions in a system under test
r...
For a considerable number of software projects, the creation of effectiv...