Testing in the Cloud: Exploring the Practice

Riungu-Kalliosaari, Leah; Taipale, Ossi; Smolander, Kari

doi:10.1109/ms.2011.132

Cited by 53 publications

(19 citation statements)

References 3 publications

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“…The findings indicated that cloud-based testing has several advantages: cost-effectiveness, rapid customization of hardware resources, effective use of resources (green ICT), preconfigured software images, easily control-scalable cloud system infrastructure, calculate and predict the application performance and scalability, on demand test services, pay-per-use, availability of services for small businesses and customers, support of better delivery of services, and reduced time to market for key business applications Jun & Meng, 2011;Malhotra & Jain, 2013;Priyanka et al, 2012;Riungu-Kalliosaari et al, 2012;Tung et al, 2014). According to the findings of Riungu-Kalliosaari et al (2012), the primary benefit of cloud-based testing lies in the fact that it reduces costs for putting up, maintaining, and licensing internal testing environments.…”

Section: Research Methodology and Methodsmentioning

confidence: 99%

“…According to the findings of Riungu-Kalliosaari et al (2012), the primary benefit of cloud-based testing lies in the fact that it reduces costs for putting up, maintaining, and licensing internal testing environments. The flexibility to acquire a testing environment as needed and global access for both providers and customers are other benefits (Malhotra & Jain, 2013).…”

Section: Research Methodology and Methodsmentioning

confidence: 99%

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Classification and Evaluation of Cloud-Based Testing Tools: The Case Study of Web Applications' Security Testing

Lněnička¹,

Čapek²

2018

AIP

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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. This article has two main aims. The first one is the survey of published results attained by the synergy of these research fields -cloud-based testing, testing strategies and types of tests, and related architectures, which is followed by the classification of testing tools based on their testing strategies. The second part is focused on security testing of Fire and Rescue Service portals in the Czech Republic and identification of vulnerabilities in these portals. The results suggested that it is more appropriate to manage only one unified portal than a lot of portals on the regional level, also due to the economies of scale. Finally, the most suitable tool for cloud-based security testing was recommended based on these results and a typical cloud-based testing methodology was described.

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Section: Research Methodology and Methodsmentioning

confidence: 99%

Section: Research Methodology and Methodsmentioning

confidence: 99%

Classification and Evaluation of Cloud-Based Testing Tools: The Case Study of Web Applications' Security Testing

Lněnička¹,

Čapek²

2018

AIP

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“…This feature can be beneficial to reduce execution time of testing, especially in terms of automated software testing (Riungu-Kalliosaari et al 2012).…”

Section: Cloud-based Software Testingmentioning

confidence: 99%

How to test bioinformatics software?

et al. 2015

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Bioinformatics is the application of computational, mathematical and statistical techniques to solve problems in biology and medicine. Bioinformatics programs developed for computational simulation and large-scale data analysis are widely used in almost all areas of biophysics. The appropriate choice of algorithms and correct implementation of these algorithms are critical for obtaining reliable computational results. Nonetheless, it is often very difficult to systematically test these programs as it is often hard to verify the correctness of the output, and to effectively generate failure-revealing test cases. Software testing is an important process of verification and validation of scientific software, but very few studies have directly dealt with the issues of bioinformatics software testing. In this work, we review important concepts and state-ofthe-art methods in the field of software testing. We also discuss recent reports on adapting and implementing software testing methodologies in the bioinformatics field, with specific examples drawn from systems biology and genomic medicine.

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“…These tests seek to simulate real world environments through load testing and stress testing [7,13]. There are several advantages when working with test for cloud computing [7]:…”

Section: Supporting Testing In Cloud Computingmentioning

confidence: 99%

Model Driven Testing for Cloud Computing

Oliveira

Lopes

Abdelouahab

et al. 2014

Lecture Notes in Electrical Engineering

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In this paper, the authors present a proposal to support the creation of test cases for software systems under cloud computing environments. This approach is based on Model Driven Engineering (MDE). A Methodology and metamodels are proposed to support the generation of test cases. Specific metamodels for cloud computing environments are provided. Business models are created conform to UML (including profiles) and test cases are created conform to a metamodel that is independent testing platform. Both models are manipulated by model transformation that generates test cases for cloud computing environments. These metamodels are used in conjunction with the tool MT4MDE and SAMT4MDE for developing testing models. An illustrative example helps to understand the proposed approach.

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Testing in the Cloud: Exploring the Practice

Cited by 53 publications

References 3 publications

Classification and Evaluation of Cloud-Based Testing Tools: The Case Study of Web Applications' Security Testing

Classification and Evaluation of Cloud-Based Testing Tools: The Case Study of Web Applications' Security Testing

How to test bioinformatics software?

Model Driven Testing for Cloud Computing

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