Integrated TaaS platform for mobile development: Architecture solutions

Starov, Oleksii; Vilkomir, Sergiy

doi:10.1109/iwast.2013.6595783

Cited by 16 publications

(20 citation statements)

References 13 publications

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“…An example of such a tool is the Cloud Testing of Mobile Systems (CTOMS) platform [20,21]. The CTOMS user can choose a set of models for testing, including EC and pair-wise combinatorial approaches.…”

Section: Discussionmentioning

confidence: 99%

Using Combinatorial Approaches for Testing Mobile Applications

Vilkomir

Amstutz

2014

2014 IEEE Seventh International Conference on Software Testing, Verification and Validation Workshops

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Device-specific faults are very common for mobile software applications. To avoid such faults and guarantee the reliability and quality of mobile applications, sufficient testing is required on different mobile devices, which is expensive and time-consuming. This makes the task of the optimal selection of mobile devices for testing important and interesting from both practical and theoretical points of view. The suggested approach in this paper is based on combinatorial methods for coverage of each device characteristics. The initial results of the experimental investigation using comparisons with a random selection of devices are provided and show that the proposed approach is effective and promising.

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Section: Discussionmentioning

confidence: 99%

Using Combinatorial Approaches for Testing Mobile Applications

Vilkomir

Amstutz

2014

2014 IEEE Seventh International Conference on Software Testing, Verification and Validation Workshops

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“…One study presents a TaaS framework for mobile development [29], evaluating the framework with one example and implementing a web user interface using a VAADIN framework, Google App Engine application, and Jersey RESTful web services. A simulation-based mobile testing environment [30], emulating mobile devices using VMs and IaaS is evaluated using analytical techniques.…”

Section: ) Mobile Testingmentioning

confidence: 99%

A Systematic Mapping Study of Empirical Studies on Software Cloud Testing Methods

Ahmad

Brereton

András

2017

2017 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C)

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Abstract-Context: Software has become more complicated, dynamic, and asynchronous than ever, making testing more challenging. With the increasing interest in the development of cloud computing, and increasing demand for cloud-based services, it has become essential to systematically review the research in the area of software testing in the context of cloud environments. Objective: The purpose of this systematic mapping study is to provide an overview of the empirical research in the area of software cloud-based testing, in order to build a classification scheme. We investigate functional and non-functional testing methods, the application of these methods, and the purpose of testing using these methods. Method: We searched for electronically available papers in order to find relevant literature and to extract and analyze data about the methods used. Result: We identified 69 primary studies reported in 75 research papers published in academic journals, conferences, and edited books. Conclusion: We found that only a minority of the studies combine rigorous statistical analysis with quantitative results. The majority of the considered studies present early results, using a single experiment to evaluate their proposed solution.

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“…Mahmood et al [2012] rely on the cloud to automatically test the security and robustness of Android apps in a scalable way. Recently, Starov and Vilkomir [2013] presented Cloud Testing of Mobile Systems (CTOMS), an integrated TaaS solution of mobile systems with a core infrastructure that enables the scaling of additional functionalities, while introduced the design and implementation of Vee@Cloud, a platform-independent virtual test lab to provide on-demand testing services and Internet-scale testing capabilities.…”

Section: Testingmentioning

confidence: 99%

From Security to Assurance in the Cloud

et al. 2015

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The cloud computing paradigm has become a mainstream solution for the deployment of business processes and applications. In the public cloud vision, infrastructure, platform, and software services are provisioned to tenants (i.e., customers and service providers) on a pay-as-you-go basis. Cloud tenants can use cloud resources at lower prices, and higher performance and flexibility, than traditional on-premises resources, without having to care about infrastructure management. Still, cloud tenants remain concerned with the cloud's level of service and the nonfunctional properties their applications can count on. In the last few years, the research community has been focusing on the nonfunctional aspects of the cloud paradigm, among which cloud security stands out. Several approaches to security have been described and summarized in general surveys on cloud security techniques. The survey in this article focuses on the interface between cloud security and cloud security assurance. First, we provide an overview of the state of the art on cloud security. Then, we introduce the notion of cloud security assurance and analyze its growing impact on cloud security approaches. Finally, we present some recommendations for the development of next-generation cloud security and assurance solutions.

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Integrated TaaS platform for mobile development: Architecture solutions

Cited by 16 publications

References 13 publications

Using Combinatorial Approaches for Testing Mobile Applications

Using Combinatorial Approaches for Testing Mobile Applications

A Systematic Mapping Study of Empirical Studies on Software Cloud Testing Methods

From Security to Assurance in the Cloud

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