Framework for cloud‐based software test data generation service

Chawla, Priyanka; Chana, Inderveer; Rana, Ajay

doi:10.1002/spe.2708

Cited by 7 publications

(3 citation statements)

References 32 publications

(48 reference statements)

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“…Multitudes of resources are available on cloud that can be utilized accordingly with the requirement [95]. Resources are pooled and dynamically assigned to users according to their demands [96][97][98]. Maximization of profit is achieved by the optimum resource usage [99], and it can also increase the performance of organization [100].…”

Section: Rapid Elasticitymentioning

confidence: 99%

Towards Enhancing the Capability of IoT Applications by Utilizing Cloud Computing Concept

Khan

Ali

Alshehri³

et al. 2022

Wireless Communications and Mobile Computing

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The emergence of smart and innovative applications in diverse domains has inspired our lives by presenting many state-of-the art applications ranging from offline to smart online systems, smart communication system to tracking systems, and many others. The availability of smart internet enabled systems has made the world as a global village where people can collaborate, communicate, and share information in secure and timely manner. Innovation in information technology focuses on investigating characteristics that make it easier for the people to accept and distribute innovative IT-based processes or products. To provide elastic services and resource the Internet service provider developed cloud computing to support maximal number of users. Cloud computing is a subscription paradigm in which users do not buy various resources permanently, but they purchase it with block chain-driven payment schemes (credit cards). A flexible, on-demand, and dynamically scalable computer infrastructure is offered by cloud providers to its clients on charging some amount of subscription. This research article provides an introduction of cloud computing and the integration of IoT concept, its impacts on crowd and organizations, provision of various services, and analyzing and selecting the appropriate features using probability distribution function for enhancing cloud-based IoT capabilities. In ambiguous and complex situations, decision makers use quantitative techniques combined with traditional approaches to select the appropriate one among a group of features. Probability distribution function is used to evaluate the appropriate features that will enhance the capabilities of cloud-based IoT application.

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Section: Rapid Elasticitymentioning

confidence: 99%

Towards Enhancing the Capability of IoT Applications by Utilizing Cloud Computing Concept

Khan

Ali

Alshehri³

et al. 2022

Wireless Communications and Mobile Computing

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“…Software testing has been one of the best practice areas for migration to the cloud environment 23 . Girardon et al 24 presented a systematic literature study published in 2020 that proved the advantages of utilizing cloud technology by software organizations to overcome the traditional testing issues 25 .…”

Section: Introductionmentioning

confidence: 99%

“…Software testing has been one of the best practice areas for migration to the cloud environment. 23 Girardon et al 24 presented a systematic literature study published in 2020 that proved the advantages of utilizing cloud technology by software organizations to overcome the traditional testing issues. 25 Examples of issues that traditional testing suffers from are the long-running time for designing test cases manually, the need for testers with experience in working with different testing tools, and the high license cost of the testing tools.…”

mentioning

confidence: 99%

Performance testing as a service using cloud computing environment: A survey

Ali

Maghawry

Badr

2022

J Software Evolu Process

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Cloud testing is gaining much attention in both academia and industry as an emerging concept in the field of software testing. Cloud testing implies leveraging the resources of the cloud computing environment to overcome deficiencies of the traditional testing approaches. As a result, testing-as-a-service (TaaS) is introduced as a service model that conducts all testing activities in a fully automated manner using cloud-based resources. Performance testing is a type of software testing that validates the performance characteristics of the application under test (AUT) when subjected to different workloads during its operation. Performance characteristics include throughput, response time, and resource utilization of the AUT under a certain workload. This paper focuses on reviewing the literature related to the provision of performance testing as a service (P-TaaS). In this study, we survey the previous work related to cloud-based performance testing. We show the strengths and weaknesses of the current research. Besides, we compare the P-TaaS with the traditional performance testing methodologies. A detailed discussion of the benefits and challenges of P-TaaS is introduced along with identifying the research gaps and the future directions that can be adopted.

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