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Field Information Modeling (FIM)™: Best Practices Using Point Clouds
Remote Sensing, 2021 This study presented established methods, along with new algorithmic developments, to automate point cloud processing in support of the Field Information Modeling (FIM)™ framework.
Reza Maalek
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A Systematic Review on Cloud Testing [PDF]
ACM Computing Surveys, 2019 A systematic literature review is presented that surveyed the topic of cloud testing over the period 2012--2017. Cloud testing can refer either to testing cloud-based systems (testing of the cloud) or to leveraging the cloud for testing purposes (testing in the cloud): both approaches (and their combination into testing of the cloud in the cloud) have ...
Bertolino A +6 more
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Performance testing of 3D point cloud software [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013 LiDAR systems are being used widely in recent years for many applications in the engineering field: civil engineering, cultural heritage, mining, industry and environmental engineering.
M. Varela-González +3 more
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International Journal of Applied Earth Observations and Geoinformation, 2022 Cloud detection is a crucial step in remote sensing image preprocessing. Deep learning (DL) methods are currently preferred for cloud detection, and the original images need to be cropped into smaller patches for DL training and testing. However, in very-
Guangbin Zhang +6 more
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Systematic Literature Review on Penetration Testing for Mobile Cloud Computing Applications
IEEE Access, 2019 Mobile cloud computing (MCC) enables mobile devices to exploit seamless cloud services via offloading, and has numerous advantages and increased security and complexity. Penetration testing of mobile applications has become more complex and expensive due
Ahmad Salah Al-Ahmad +3 more
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A Study of Moving from Cloud Computing to Fog Computing
Qubahan Academic Journal, 2021 The exponential growth of the Internet of Things (IoT) technology poses various challenges to the classic centralized cloud computing paradigm, including high latency, limited capacity, and network failure.
Hindreen Rashid Abdulqadir +6 more
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Cloud-based bug tracking software defects analysis using deep learning
Journal of Cloud Computing: Advances, Systems and Applications, 2022 Cloud technology is not immune to bugs and issue tracking. A dedicated system is required that will extremely error prone and less cumbersome and must command a high degree of collaboration, flexibility of operations and smart decision making. One of the
Tao Hai +5 more
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Acta Informatica Pragensia, 2018 The purpose of the article is to give a survey of research fields related to test and manage applications from the cloud, i.e. cloud-based testing, so that it can facilitate security requirements associated with the testing.
Martin Lněnička, Jan Čapek
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International Journal on Cloud Computing: Services and Architecture, 2012 This paper presents the results of a series of penetration tests performed on the OpenStack Essex Cloud Management Software. Several different types of penetration tests were performed including network protocol and command line fuzzing, session hijacking and credential theft.
LaBarge, Ralph, McGuire, Thomas
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Cloud-Based Test Tools: A Brief Comparative View
Cybernetics and Information Technologies, 2018 The concept of virtualization has brought life to the new methods of software testing. With the help of cloud technology, testing has become much more popular because of the opportunities it provides.
Kılınç Nergiz +2 more
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