The Impact of Test Case Generation Methods on the Software Performance: A Review

Hasan, Dathar Abas; Hussan, Bzar Kh.; Zeebaree, Subhi R. M.; Ahmed, Dindar M.; Kareem, Omar Sedqi; Sadeeq, Mohammed A. M.

doi:10.5281/zenodo.4623940

2021

DOI: 10.5281/zenodo.4623940

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The Impact of Test Case Generation Methods on the Software Performance: A Review

Dathar Abas Hasan¹,

Bzar Kh. Hussan²,

Subhi R. M. Zeebaree³

et al.

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2021

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Cited by 18 publications

(1 citation statement)

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“…This creates a massive network of data-generating devices, necessitating robust, scalable, and efficient computing solutions (Ahmed, 2023;Mohammed et al, 2024). The intersection of these technologies is revolutionizing various sectors by enabling real-time data processing, advanced analytics, and improved operational efficiencies (Hasan et al, 2021).…”

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confidence: 99%

Navigating the Landscape of IoT, Distributed Cloud Computing: A Comprehensive Review

A. H. Alkurdi,

R. M. Zeebaree

2024

ACAD J NAWROZ UNIV

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This comprehensive academic exploration delves into the revolutionary convergence of the Internet of Things (IoT) with distributed cloud computing, redefining the realms of data processing, storage, and communication. The paper critically analyzes scholarly work from reputable journals, providing profound insights into this integration's multifaceted applications and underlying technological frameworks. The relevance of IoT, a network of interconnected devices and sensors, is emphasized through its significant impact on diverse sectors, including healthcare, education, agriculture, and smart cities. This impact is magnified by its extensive data collection, processing, and analysis capabilities, enabled through cloud computing platforms. The objective of the paper is to methodically compare and contrast contemporary scholarly contributions, shedding light on the diverse applications and technological infrastructures of IoT in conjunction with distributed cloud computing. This endeavor encompasses an examination of IoT-based cloud infrastructure, detailed analysis of specific needs, implementations, and applications of IoT-based cloud computing, and a review of various IoT cloud platforms. The paper also highlights the benefits of integrating IoT with cloud computing, elucidating significant advantages and potential future directions of this technology. Through this scholarly inquiry, the paper aims to offer an in-depth perspective on the state-of-the-art developments in IoT and distributed cloud computing. It underscores their significance and potential in shaping the future of digital technology and its applications across various domains.

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confidence: 99%

Navigating the Landscape of IoT, Distributed Cloud Computing: A Comprehensive Review

A. H. Alkurdi,

R. M. Zeebaree

2024

ACAD J NAWROZ UNIV

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Bi-objective carbon-efficient distributed flow-shop scheduling with multistep electricity pricing

Yu,

Du,

Zhou

et al. 2024

International Journal of Production Research

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Task Scheduling Algorithms in Cloud Computing: A Review

Ibrahim¹

2021

TURCOMAT

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Cloud computing is the requirement based on clients and provides many resources that aim to share it as a service through the internet. For optimal use, Cloud computing resources such as storage, application, and other services need managing and scheduling these services. The principal idea behind the scheduling is to minimize loss time, workload, and maximize throughput. So, the scheduling task is essential to achieve accuracy and correctness on task completion. This paper gives an idea about various task scheduling algorithms in the cloud computing environment used by researchers. Finally, many authors applied different parameters like completion time, throughput, and cost to evaluate the system.

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The Impact of Test Case Generation Methods on the Software Performance: A Review

Cited by 18 publications

References 0 publications

Navigating the Landscape of IoT, Distributed Cloud Computing: A Comprehensive Review

Navigating the Landscape of IoT, Distributed Cloud Computing: A Comprehensive Review

Bi-objective carbon-efficient distributed flow-shop scheduling with multistep electricity pricing

Task Scheduling Algorithms in Cloud Computing: A Review

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