The SAMBA Approach for Self-Adaptive Model-Based Online Testing of Services Orchestrations

Leal, Lucas; Ceccarelli, Andrea; Martins, Eliane

doi:10.1109/compsac.2019.00076

Cited by 4 publications

(4 citation statements)

References 19 publications

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“…C. The SAMBA Framework SAMBA (Self-Adaptive Model-Based online testing for dynamic SOAs, [12]) is an online testing framework designed to perform regression tests on SOA orchestrations. It uses the information available in orchestration files to extract the business process of the orchestration and to generate a model, which is then used in the test case generation process.…”

Section: B Model-based Testingmentioning

confidence: 99%

“…MG analyzes the evolution of the target SOA application and generates updated models. MOT plans the test cases and updates the test report, and TS executes the runtime tests [12]. Fig.…”

Section: B Model-based Testingmentioning

confidence: 99%

“…i from the reference orchestration and business process languages, namely the BPEL [21] and the Business Process Modelling Notation (BPMN, [22]), towards the metamodel, and ii from the metamodel towards the MBT tool Graphwalker. The results of the transformations were applied to the SAMBA framework [12], which can perform performing runtime testing of orchestrations. Since SAMBA is an MBT framework, the model generation process is fundamental for the framework to achieve its objective.…”

Section: B Proposed Solutionmentioning

confidence: 99%

“…This paper's main contribution is to discuss the possible applications of MDE for the improvement of the runtime MBT process on SOA applications, taking into consideration the current software development paradigm. The paper also presents two metamodels, three transformations to guarantee interoperability with different orchestration languages and testing tools, and a running implementation based in an existing framework [12]. The proposed approach was evaluated on a case study with orchestrations expressed in two different languages, which evaluated that model transformation and if the reference metamodel is capable of bridging different SOA descriptions and MBT techniques.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Using Metamodels to Improve Model-Based Testing of Service Orchestrations

Leal

Montecchi

Ceccarelli

et al. 2020

2020 IEEE 25th Pacific Rim International Symposium on Dependable Computing (PRDC)

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Online model-based testing is one of the most suitable techniques to assess the proper behavior of service orchestrations. However, the diverse panorama in terms of modeling languages and test case generation tools is a limitation to widespread adoption. We advocate that the application of Model-Driven Engineering principles as meta-modeling and model transformation can cope with this problem, improving the interoperability of artifacts in the test case generation process, thus bringing benefits in case of agile development processes, where system and technology evolution is frequent. In this paper, we present our contribution to this idea, introducing i) a reference metamodel, which stores the business process behavior and the information to generate input models for testing tools, and ii) transformations from orchestration languages towards testing tools. The proposed approach is implemented in a testing framework and evaluated on a case study where multiple orchestrations are expressed in two languages. Also, the paper presents how test cases are appropriately generated and successfully executed, starting from an orchestration model as a consequence of successful transformations.

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Section: B Model-based Testingmentioning

confidence: 99%

“…MG analyzes the evolution of the target SOA application and generates updated models. MOT plans the test cases and updates the test report, and TS executes the runtime tests [12]. Fig.…”

Section: B Model-based Testingmentioning

confidence: 99%