research
∙
09/20/2023
Machine Learning Data Suitability and Performance Testing Using Fault Injection Testing Framework
Creating resilient machine learning (ML) systems has become necessary to...
share
research
∙
05/15/2023
DA-LSTM: A Dynamic Drift-Adaptive Learning Framework for Interval Load Forecasting with LSTM Networks
Load forecasting is a crucial topic in energy management systems (EMS) d...
research
∙
04/18/2023
A Domain-Region Based Evaluation of ML Performance Robustness to Covariate Shift
Most machine learning methods assume that the input data distribution is...
research
∙
03/27/2023
DQSOps: Data Quality Scoring Operations Framework for Data-Driven Applications
Data quality assessment has become a prominent component in the successf...
research
∙
02/26/2023
Automated and Systematic Digital Twins Testing for Industrial Processes
Digital twins (DT) of industrial processes have become increasingly impo...
research
∙
11/23/2022
Quality Assurance in MLOps Setting: An Industrial Perspective
Today, machine learning (ML) is widely used in industry to provide the c...
research
∙
08/15/2022
A Drift Handling Approach for Self-Adaptive ML Software in Scalable Industrial Processes
Most industrial processes in real-world manufacturing applications are c...
research
∙
08/08/2022
Testing of Machine Learning Models with Limited Samples: An Industrial Vacuum Pumping Application
There is often a scarcity of training data for machine learning (ML) cla...
research
∙
07/25/2022
Novel Strategy Generating Variable-length State Machine Test Paths
Finite State Machine is a popular modeling notation for various systems,...
research
∙
07/19/2022
IoT Anomaly Detection Methods and Applications: A Survey
Ongoing research on anomaly detection for the Internet of Things (IoT) i...
research
∙
03/21/2022
From Concept Drift to Model Degradation: An Overview on Performance-Aware Drift Detectors
The dynamicity of real-world systems poses a significant challenge to de...
research
∙
03/17/2022
Overview of Test Coverage Criteria for Test Case Generation from Finite State Machines Modelled as Directed Graphs
Test Coverage criteria are an essential concept for test engineers when ...
research
∙
03/17/2022
Prioritized Variable-length Test Cases Generation for Finite State Machines
Model-based Testing (MBT) is an effective approach for testing when part...
research
∙
01/25/2022
Using Deep Reinforcement Learning for Zero Defect Smart Forging
Defects during production may lead to material waste, which is a signifi...
research
∙
05/31/2021
Hybrid Henry Gas Solubility Optimization Algorithm with Dynamic Cluster-to-Algorithm Mapping for Search-based Software Engineering Problems
This paper discusses a new variant of the Henry Gas Solubility Optimizat...
research
∙
01/27/2021
PatrIoT: IoT Automated Interoperability and Integration Testing Framework
With the rapid growth of the contemporary Internet of Things (IoT) marke...
research
∙
01/05/2021
Review of Specific Features and Challenges in the Current Internet of Things Systems Impacting their Security and Reliability
The current development of the Internet of Things (IoT) technology poses...
research
∙
12/02/2020
Software Module Clustering: An In-Depth Literature Analysis
Software module clustering is an unsupervised learning method used to cl...
research
∙
11/21/2020
Quality and Reliability Metrics for IoT Systems: A Consolidated View
Quality and reliability metrics play an important role in the evaluation...
research
∙
09/07/2020
Code Coverage Aware Test Generation Using Constraint Solver
Code coverage has been used in the software testing context mostly as a ...
research
∙
07/22/2020
Interoperability and Integration Testing Methods for IoT Systems: a Systematic Mapping Study
The recent active development of Internet of Things (IoT) solutions in v...
research
∙
05/20/2020
Alternative Effort-optimal Model-based Strategy for State Machine Testing of IoT Systems
To effectively test parts of the Internet of Things (IoT) systems with a...
research
∙
04/03/2020
Testing the Usability and Accessibility of Smart TV Applications Using an Automated Model-based Approach
As the popularity of Smart Televisions (TVs) and interactive Smart TV ap...
research
∙
02/18/2020
An Evaluation of Monte Carlo-Based Hyper-Heuristic for Interaction Testing of Industrial Embedded Software Applications
Hyper-heuristic is a new methodology for the adaptive hybridization of m...
research
∙
02/02/2020
An Automated Testing Framework For Smart TV apps Based on Model Separation
Smart TV application (app) is a new technological software app that can ...
research
∙
02/02/2020
Avocado: Open-Source Flexible Constrained Interaction Testing for Practical Application
This paper presents the outcome of a research collaboration between acad...
research
∙
01/25/2020
Open-source Defect Injection Benchmark Testbed for the Evaluation of Testing
A natural method to evaluate the effectiveness of a testing technique is...
research
∙
09/16/2019
Generation and Application of Constrained Interaction Test Suites Using Base Forbidden Tuples With Mixed Neighborhood Tabu Search
Nowadays, ensuring the quality becomes challenging for most modern softw...
research
∙
07/21/2019
Code-Aware Combinatorial Interaction Testing
Combinatorial interaction testing (CIT) is a useful testing technique to...
research
∙
04/09/2019
Generating Pairwise Combinatorial Interaction Test Suites Using Single Objective Dragonfly Optimisation Algorithm
Combinatorial interaction testing has been addressed as an effective sof...
research
∙
04/05/2019
A New Approach to Speed up Combinatorial Search Strategies Using Stack and Hash Table
Owing to the significance of combinatorial search strategies both for ac...
research
∙
04/05/2019
EvoCreeper: Automated Black-Box Model Generation for Smart TV Applications
Smart TVs are coming to dominate the television market. This accompanied...
research
∙
03/25/2019
Achievement of Minimized Combinatorial Test Suite for Configuration-Aware Software Functional Testing Using the Cuckoo Search Algorithm
Context: Software has become an innovative solution nowadays for many ap...
research
∙
03/20/2019
Prioritized Process Test: An Alternative to Current Process Testing Strategies
Testing processes and workflows in information and Internet of Things sy...
research
∙
03/14/2019
Testing of Smart TV Applications: Key Ingredients, Challenges and Proposed Solutions
Smart TV applications are software applications that have been designed ...
research
∙
03/13/2019
Towards an Automated Unified Framework to Run Applications for Combinatorial Interaction Testing
Combinatorial interaction testing (CIT) is a well-known technique, but t...
research
∙
02/13/2019
Software Module Clustering based on the Fuzzy Adaptive Teaching Learning based Optimization Algorithm
Although showing competitive performances in many real-world optimizatio...
research
∙
02/13/2019
Dynamic Solution Probability Acceptance within the Flower Pollination Algorithm for t-way Test Suite Generation
Flower Pollination Algorithm (FPA) is the new breed of metaheuristic for...
research
∙
02/01/2019
AMOGA: A Static-Dynamic Model Generation Strategy for Mobile Apps Testing
In the past few years, mobile devices have been increasingly replacing t...
research
∙
01/22/2019
Aspects of Quality in Internet of Things (IoT) Solutions: A Systematic Mapping Study
Internet of Things (IoT) is an emerging technology that has the promisin...
research
∙
12/23/2018
A Comprehensive View on Quality Characteristics of the IoT Solutions
Categorization of quality characteristics helps in a more effective stru...
research
∙
10/13/2018
Fuzzy Adaptive Tuning of a Particle Swarm Optimization Algorithm for Variable-Strength Combinatorial Test Suite Generation
Combinatorial interaction testing is an important software testing techn...
research
∙
05/03/2018
Internet of Things: Current Challenges in the Quality Assurance and Testing Methods
Contemporary development of the Internet of Things (IoT) technology brin...
research
∙
04/27/2018
A Hybrid Q-Learning Sine-Cosine-based Strategy for Addressing the Combinatorial Test Suite Minimization Problem
The sine-cosine algorithm (SCA) is a new population-based meta-heuristic...
research
∙
04/20/2018
Assessing Combinatorial Design for Analyzing System Performance of a Computer Network
Generally, combinatorial design concerns with the arrangement of a finit...
research
∙
04/20/2018
Handling Constraints in Combinatorial Interaction Testing in the presence of Multi Objective Particle Swarm and Multithreading
Context: Combinatorial testing strategies have lately received a lot of ...
research
∙
02/22/2018
Employment of Multiple Algorithms for Optimal Path-based Test Selection Strategy
Executing various sequences of system functions in a system under test r...
research
∙
02/22/2018
