The MIDAS Cloud Platform for Testing SOA Applications

The quality of Web services is an important factor for businesses that advertise or sell their services in the Internet. Failures can directly lead to fewer costumers or security problems. However, the testing of complex Web services that are organized in service-oriented architectures is a difficult and complex problem. Model-based testing (MBT) is one solution to deal with the complexity of the testing. With MBT, testers do not define the tests directly, but rather specify the structure and behavior of the System Under Test using models. Then, a test strategy is used to derive test cases automatically from the models. However, MBT yields a large amount of tests for complex systems which require lots of resources for their execution, thereby limiting its potential. Within this article, we discuss how cloud computing can be used to provide the required resources for scaling up test campaigns with large amounts of test cases derived using MBT.

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“…4. This discussion is based on the results of the MIDAS European project [12,18]. Finally, we conclude the article in Sect.…”

Section: Introductionmentioning

confidence: 90%

Model-based testing as a service

Herbold

Hoffmann

2017

Int J Softw Tools Technol Transfer

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“…Indeed, each service receives a MIDAS DSL model as input and generates test cases for the input model, based on its own test scenario. There are also other services for test case prioritization, scheduling, transformation to the TTCN-3 test code, execution, and arbitration [4,[9][10][11][12]14].…”

Section: Previous Attemptsmentioning

confidence: 99%

Challenges & opportunities in low-code testing

Khorram

Mottu

Sunyé

2020

Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedi

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Low-code is a growing development approach supported by many platforms. It fills the gap between business and IT by supporting the active involvement of non-technical domain experts, named Citizen Developer, in the application development lifecycle.Low-code introduces new concepts and characteristics. However, it is not investigated yet in academic research to point out the existing challenges and opportunities when testing low-code software. This shortage of resources motivates this research to provide an explicit definition to this area that we call it Low-Code Testing.In this paper, we initially conduct an analysis of the testing components of five commercial Low-Code Development Platforms (LCDP) to present low-code testing advancements from a business point of view. Based on the low-code principles as well as the result of our analysis, we propose a feature list for low-code testing along with possible values for them. This feature list can be used as a baseline for comparing low-code testing components and as a guideline for building new ones. Accordingly, we specify the status of the testing components of investigated LCDPs based on the proposed features. Finally, the challenges of low-code testing are introduced considering three concerns: the role of citizen developer in testing, the need for high-level test automation, and cloud testing. We provide references to the state-of-the-art to specify the difficulties and opportunities from an academic perspective. The results of this research can be used as a starting point for future research in low-code testing area. CCS CONCEPTS• Software and its engineering → Software testing and debugging.

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“…The availability of many and relatively cheap resources in the cloud makes performance testing easier, thus many frameworks have been developed addressing the objective of performance testing [35], [116], [75], [103], [112], [153], [58], [102]. However performance evaluation requires a rigorous planning and the setting of specific configurations to maximize test effectiveness.…”

Section: Testing In the Cloudmentioning

confidence: 99%

“…Different model based testing frameworks have been developed [12], [98], [82], [81], such as AUTOMATIC that derives many different QoS configurations to be tested in the cloud [12], or ATCloud that generates test cases based on API models [154], or the proposal of [82] that specifically addresses functional testing for composed services. MIDAS [58] is a model based scalable testing platform leveraging a Domain Specific Language (DSL), based on the Unified Modeling Language (UML) and the UML Testing Profile (UTP). EvoDroid [99] is another model based framework that analyzes the source code of an app, and automatically extracts both a behavioral model, and the APIs of externally referred apps.…”

Section: Testing In the Cloudmentioning

confidence: 99%

A Systematic Review on Cloud Testing

et al. 2019

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A systematic literature review is presented that surveyed the topic of cloud testing over the period 2012--2017. Cloud testing can refer either to testing cloud-based systems (testing of the cloud) or to leveraging the cloud for testing purposes (testing in the cloud): both approaches (and their combination into testing of the cloud in the cloud) have drawn research interest. An extensive paper search was conducted by both automated query of popular digital libraries and snowballing, which resulted in the final selection of 147 primary studies. Along the survey, a framework has been incrementally derived that classifies cloud testing research among six main areas and their topics. The article includes a detailed analysis of the selected primary studies to identify trends and gaps, as well as an extensive report of the state-of-the-art as it emerges by answering the identified Research Questions. We find that cloud testing is an active research field, although not all topics have received enough attention and conclude by presenting the most relevant open research challenges for each area of the classification framework.

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The MIDAS Cloud Platform for Testing SOA Applications

Cited by 9 publications

References 16 publications

Model-based testing as a service

Model-based testing as a service

Challenges & opportunities in low-code testing

A Systematic Review on Cloud Testing

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