A survey on runtime testing of dynamically adaptable and distributed systems

Lahami, Mariam; Krichen, Moez

doi:10.1007/s11219-021-09558-x

Cited by 11 publications

(5 citation statements)

References 137 publications

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“…For instance, it will be interesting to investigate how machine learning (ML) techniques [ 175 , 176 , 177 ] may be used in the context of blockchain technology to increase security levels and the performances of blockchain-based systems. It will also be extremely useful to apply some formal testing techniques for blockchain-based solutions to improve their quality and increase their robustness [ 178 , 179 , 180 ].…”

Section: Discussionmentioning

confidence: 99%

Blockchain for Modern Applications: A Survey

Krichen

Ammi

Mihoub

et al. 2022

Sensors

Self Cite

104

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Blockchain is a modern technology that has revolutionized the way society interacts and trades. It could be defined as a chain of blocks that stores information with digital signatures in a distributed and decentralized network. This technique was first adopted for the creation of digital cryptocurrencies, such as Bitcoin and Ethereum. However, research and industrial studies have recently focused on the opportunities that blockchain provides in various other application domains to take advantage of the main features of this technology, such as: decentralization, persistency, anonymity, and auditability. This paper reviews the use of blockchain in several interesting fields, namely: finance, healthcare, information systems, wireless networks, Internet of Things, smart grids, governmental services, and military/defense. In addition, our paper identifies the challenges to overcome, to guarantee better use of this technology.

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Section: Discussionmentioning

confidence: 99%

Blockchain for Modern Applications: A Survey

Krichen

Ammi

Mihoub

et al. 2022

Sensors

Self Cite

104

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“…Other approaches for test isolation such as canary releases Tang et al (2015b), gradual rollouts Feitelson et al (2013), and shadow releases Feitelson et al (2013), are known to be useful for regression testing of cloud services as they can be conducted while the upgrade is taking place. More extensive surveys on test isolation techniques can be found in Lahami and Krichen (2021); Bertolino et al (2021). In this work we did not propose test isolation techniques, but we propose a test isolation strategy (Algorithm 2) which helps select the right test isolation technique for each situation.…”

Section: Related Workmentioning

confidence: 99%

Test Plan Generation for Live Testing of Cloud Services

Jebbar¹,

Khendek²,

Toeroe

2023

Preprint

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Live testing is performed in the production environment ideally without causing unacceptable disturbance to the production traffic. Thus, test activities have to be orchestrated properly to avoid test interferences with the production traffic. A test plan is the road map that specifies how the test activities need to be orchestrated. Developing a test plan includes tasks such as test configuration selection/generation, test configuration deployment planning, creating the test runs schedule, choosing strategies to mitigate the risk of test interferences, etc. The manual design of a test plan is tedious and error prone. This task becomes harder especially when the systems are large and complex. In this paper we propose an approach for automating test plans generation. With this approach we aim at reducing the time needed to execute the test plan while maintaining the service disruption at an acceptable level. We illustrate our approach with a case study and discuss its different aspects.

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“…Regression testing is another important technique for IoT and cloud systems [246,247]. It involves retesting the system after making changes or updates to ensure that the changes have not introduced new defects or issues in previously tested areas [248].…”

Section: Different Categories Of Vandv Techniquesmentioning

confidence: 99%

Early Detection of Earthquakes Using IoT and Cloud Infrastructure: A Survey

Abdalzaher,

Krichen,

Yiltas-Kaplan

et al. 2023

Sustainability

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Earthquake early warning systems (EEWS) are crucial for saving lives in earthquake-prone areas. In this study, we explore the potential of IoT and cloud infrastructure in realizing a sustainable EEWS that is capable of providing early warning to people and coordinating disaster response efforts. To achieve this goal, we provide an overview of the fundamental concepts of seismic waves and associated signal processing. We then present a detailed discussion of the IoT-enabled EEWS, including the use of IoT networks to track the actions taken by various EEWS organizations and the cloud infrastructure to gather data, analyze it, and send alarms when necessary. Furthermore, we present a taxonomy of emerging EEWS approaches using IoT and cloud facilities, which includes the integration of advanced technologies such as machine learning (ML) algorithms, distributed computing, and edge computing. We also elaborate on a generic EEWS architecture that is sustainable and efficient and highlight the importance of considering sustainability in the design of such systems. Additionally, we discuss the role of drones in disaster management and their potential to enhance the effectiveness of EEWS. Furthermore, we provide a summary of the primary verification and validation methods required for the systems under consideration. In addition to the contributions mentioned above, this study also highlights the implications of using IoT and cloud infrastructure in early earthquake detection and disaster management. Our research design involved a comprehensive survey of the existing literature on early earthquake warning systems and the use of IoT and cloud infrastructure. We also conducted a thorough analysis of the taxonomy of emerging EEWS approaches using IoT and cloud facilities and the verification and validation methods required for such systems. Our findings suggest that the use of IoT and cloud infrastructure in early earthquake detection can significantly improve the speed and effectiveness of disaster response efforts, thereby saving lives and reducing the economic impact of earthquakes. Finally, we identify research gaps in this domain and suggest future directions toward achieving a sustainable EEWS. Overall, this study provides valuable insights into the use of IoT and cloud infrastructure in earthquake disaster early detection and emphasizes the importance of sustainability in designing such systems.

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A survey on runtime testing of dynamically adaptable and distributed systems

Cited by 11 publications

References 137 publications

Blockchain for Modern Applications: A Survey

Blockchain for Modern Applications: A Survey

Test Plan Generation for Live Testing of Cloud Services

Early Detection of Earthquakes Using IoT and Cloud Infrastructure: A Survey

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