Design and Implementation of Automatic Generation of Test Cases Based on Model Driven Architecture

Liu, Yang; Li, Yafen; Wang, Pu

doi:10.1109/itcs.2010.90

Cited by 10 publications

(2 citation statements)

References 2 publications

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“…Works in the MBT/MDA context are mainly focused on transforming the system model at the PIM level into the test model at PIT level [1], [5], [6], [19], [22], and defining transformations from the PIT level to the PST level and/or the test code [1], [20], [22], [38]. However, it is important to have some independence between the system models and the test models, because mistakes in the system models can be propagated to the code and the tests and, therefore, they are impossible to detect [30], [34].…”

Section: Model-based Testing and Model-driven Architecturementioning

confidence: 99%

A test model for graph database applications: an MDA-based approach

Blanco

Tuya

2015

Proceedings of the 6th International Workshop on Automating Test Case Design, Selection and Evaluation

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NoSQL databases have given rise to new testing challenges due to the fact that they use data models and access modes to the data that differ from the relational databases. Testing relational database applications has attracted the interest of many researchers; but this is still not the case with NoSQL database applications. The approach presented in this paper defines a test model for graph database applications that takes into account the data model of this technology and the system specification. To automate the derivation of the test cases and the evaluation of their adequacy we propose a framework that places model-based testing into the model-driven architecture context.

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Section: Model-based Testing and Model-driven Architecturementioning

confidence: 99%

A test model for graph database applications: an MDA-based approach

Blanco

Tuya

2015

Proceedings of the 6th International Workshop on Automating Test Case Design, Selection and Evaluation

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“…It is different from traditional methods as it includes beta-testing which is carried out by end-users. A methodology to automate generation of test cases based on Model Driven Architecture is proposed by Yang Liu et al [14 ]. A sytem model and a test model is designed using Web-application system and test cases are generated using model to code conversion method.…”

Section: Related Workmentioning

confidence: 99%

Automatic Generation of Regression Test Cases for Web Components using Domain Analysis and Modeling

Gagandeep¹,

Sengupta²

2010

IJCA

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Web components and their underlying parts are evolving rapidly to provide services and information over the internet. Web sites are becoming a basic part of business quality of service. As web services play an important role in providing different functionality, their correctness becomes an important factor. The diversity and complexity of web systems derived the need for test automation. Test Automation is the use of software for automatic execution of test cases and their comparison with expected outcome. In this paper, we present an analysis based modeling and regression testing technique for web applications. Model based testing is a test automation approach that generates and maintains more useful and flexible tests from explicit descriptions of the application. Models describing web components structure before and after the changes are incorporated. It helps to identify test cases generated for the initial version of component that can be rerun on the changed component. The regression test-suite generated for the component is optimized using "all-path" coverage criteria. The proposed approach yields substantial results with optimized test data generation.

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Design and Implementation of Automatic Generation of Test Cases Based on Model Driven Architecture

Cited by 10 publications

References 2 publications

A test model for graph database applications: an MDA-based approach

A test model for graph database applications: an MDA-based approach

Automatic Generation of Regression Test Cases for Web Components using Domain Analysis and Modeling

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