When to Migrate Software Testing to the Cloud?

Parveen, Tauhida; Tilley, Scott

doi:10.1109/icstw.2010.77

Cited by 56 publications

(17 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We will specifically work on issues that facilitate cloud as a platform for acceptance and unit testing, and we will also focus on optimizing existing automated test tools for more proliferated use over the cloud. & Deployment [25] [25], [9], [26], [28] [54], [25], [13], [17] [27] [25], [26], [29], [55], [32], [33], [34], [56] [17] X Migration to Cloud [39] [39] X [38], [41], [6], [40] [ …”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

A Survey of Software Testing in the Cloud

Arı

et al. 2012

2012 IEEE Sixth International Conference on Software Security and Reliability Companion

View full text Add to dashboard Cite

Abstract-Cloud computing has emerged as a new computing paradigm that impacts several different research fields, including software testing. Testing cloud applications has its own peculiarities that demand for novel testing methods and tools. On the other hand, cloud computing also facilitates and provides opportunities for the development of more effective and scalable software testing techniques. This paper reports on a systematic survey of published results attained by the synergy of these two research fields. We provide an overview regarding main contributions, trends, gaps, opportunities, challenges and possible research directions. We provide a review of software testing over the cloud literature and categorize the body of work in the field.

show abstract

Section: Discussionmentioning

confidence: 99%

“…[29], [30], [35], [36], [37] Migration to Cloud X [38], [39], [40], [41], [6] [6] X [38], [41], [6], [39], [40] [ mobile devices or check the applications' conformance to certain standards [11]. Unit testing activities are another area where on-demand software testing service can be utilized.…”

Section: Testing On the Cloudmentioning

confidence: 99%

A Survey of Software Testing in the Cloud

Arı

et al. 2012

2012 IEEE Sixth International Conference on Software Security and Reliability Companion

View full text Add to dashboard Cite

show abstract

“…Parveen and Tilley [2010] present a general discussion to establish when it is worth to move software testing to the cloud. Their evaluation considers the peculiarities of the application under evaluation and the testing activities to be performed on it.…”

Section: Testingmentioning

confidence: 99%

From Security to Assurance in the Cloud

et al. 2015

View full text Add to dashboard Cite

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.

show abstract

“…The cloud platform is the latest revolution in information technology which provides on-demand access to a large and scalable amount of computing and storage resources without limiting developers to specific hardware restrictions (Parveen and Tilley 2010). 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%

“…This facility alleviates the need to invest in large high-performance computing infrastructure for testing, and also allows us to request different hardware or operating system environments for testing, which enables testing in a realistic situations. Moreover software testing may need a considerably large amount of disk space and storage, and an isolated environment to perform the testing (Parveen and Tilley 2010). For instance, in vivo testing may require independent disks or virtual machines to execute the program against test cases with different configurations in parallel without affecting each other's program state.…”

Section: Cloud-based Software Testingmentioning

confidence: 99%

How to test bioinformatics software?

et al. 2015

View full text Add to dashboard Cite

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.

show abstract

When to Migrate Software Testing to the Cloud?

Cited by 56 publications

References 3 publications

A Survey of Software Testing in the Cloud

A Survey of Software Testing in the Cloud

From Security to Assurance in the Cloud

How to test bioinformatics software?

Contact Info

Product

Resources

About