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Metamorphic relation automation: Rationale, challenges, and solution directions
(
John Wiley and Sons Ltd
, 2022 , Article Review)
Metamorphic testing addresses the issue of the oracle problem by comparing results transformation from multiple test executions. The relationship that governs the output transformation is called metamorphic relation. ...
Machine Learning-Based Software Defect Prediction for Mobile Applications: A Systematic Literature Review
(
MDPI
, 2022 , Article Review)
Software defect prediction studies aim to predict defect-prone components before the testing stage of the software development process. The main benefit of these prediction models is that more testing resources can be ...
Automation of systematic literature reviews: A systematic literature review
(
Elsevier
, 2021 , Article Review)
Context: Systematic Literature Review (SLR) studies aim to identify relevant primary papers, extract the required data, analyze, and synthesize results to gain further and broader insight into the investigated domain. ...
Deep learning for crop yield prediction: a systematic literature review
(
Taylor and Francis Ltd.
, 2022 , Article Review)
Deep Learning has been applied for the crop yield prediction problem, however, there is a lack of systematic analysis of the studies. Therefore, this study aims to provide an overview of the state-of-the-art application ...
Precision nutrition: A systematic literature review
(
Elsevier
, 2021 , Article Review)
Precision Nutrition research aims to use personal information about individuals or groups of individuals to deliver nutritional advice that, theoretically, would be more suitable than generic advice. Machine learning, a ...
Applications of deep learning for mobile malware detection: A systematic literature review
(
Springer Science and Business Media Deutschland GmbH
, 2022 , Article Review)
For detecting and resolving the various types of malware, novel techniques are proposed, among which deep learning algorithms play a crucial role. Although there has been a lot of research on the development of DL-based ...
Smart warehouses: Rationale, challenges and solution directions
(
MDPI
, 2022 , Article Review)
Smart warehouses aim to increase the overall service quality, productivity, and efficiency of the warehouse while minimizing costs and failures. In recent years, several studies have proposed and discussed different types ...
Predictive maintenance using digital twins: A systematic literature review
(
Elsevier
, 2022 , Article Review)
Context: Predictive maintenance is a technique for creating a more sustainable, safe, and profitable industry. One of the key challenges for creating predictive maintenance systems is the lack of failure data, as the machine ...
Data analytics platforms for agricultural systems: A systematic literature review
(
Elsevier
, 2022 , Article Review)
With the rapid developments in ICT, the current agriculture businesses have become increasingly data-driven and are supported by advanced data analytics techniques. In this context, several studies have investigated the ...
Hybrid Blockchain Platforms for the Internet of Things (IoT): A Systematic Literature Review
(
MDPI
, 2022 , Article Review)
In recent years, research into blockchain technology and the Internet of Things (IoT) has grown rapidly due to an increase in media coverage. Many different blockchain applications and platforms have been developed for ...