A Review of Meta-Model Designed for the Model-Based Testing Technique

Authors

  • Harshith Desamsetti Student, Master of Science, Computer Science, Northern Illinois University, USA
  • Mounika Mandapuram Cognizant Technology Solutions, Teaneck, New Jersey, USA

DOI:

https://doi.org/10.18034/ei.v5i2.661

Keywords:

Software Testing, Meta-Model, Specification Paradigm, Model-based Testing

Abstract

Recently, software engineering research has focused on IT system testing. Due to its practicality, academic and corporate research has presented various model-based testing methodologies. Model-based testing is a popular software technique that ensures system performance and evaluation. Automatic test case generation from requirements is intended to replace manual testing. Most of these approaches differ in critical areas like the specification paradigm and the model used to define requirements. Still, they share common principles, problems, and characteristics inherited from model-based testing. This paper proposes a meta-model that represents model-based testing principles and attributes to define the structure and entities of any new approach.

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References

Brunette, C., Talpin, J. P., Gamatie, A., and Gautier, T. (2009). A meta-model for the design of polychronous systems. J. Logic Algebraic Program., 78, 233-259. DOI: https://doi.org/10.1016/j.jlap.2008.11.005

Desamsetti, H. (2016). Issues with the Cloud Computing Technology. International Research Journal of Engineering and Technology (IRJET), 3(5), 321-323.

Gebizli, C. S. and Sozer, H. (2016). Automated refinement of models for model-based testing using exploratory testing. Software Qual. J., 25, 979-1005. https://doi.org/10.1007/s11219-016-9338-2 DOI: https://doi.org/10.1007/s11219-016-9338-2

Gutlapalli, S. S. (2016a). An Examination of Nanotechnology’s Role as an Integral Part of Electronics. ABC Research Alert, 4(3), 21–27. https://doi.org/10.18034/ra.v4i3.651 DOI: https://doi.org/10.18034/ra.v4i3.651

Gutlapalli, S. S. (2016b). Commercial Applications of Blockchain and Distributed Ledger Technology. Engineering International, 4(2), 89–94. https://doi.org/10.18034/ei.v4i2.653 DOI: https://doi.org/10.18034/ei.v4i2.653

Mandapuram, M. (2016). Applications of Blockchain and Distributed Ledger Technology (DLT) in Commercial Settings. Asian Accounting and Auditing Advancement, 7(1), 50–57. Retrieved from https://4ajournal.com/article/view/76

Zachariadis, S., Mascolo, C., & Emmerich, W. (2006). The SATIN component system-a meta-model for engineering adaptable mobile systems. IEEE Trans. Software Eng., 32, 910-927. https://doi.org/10.1109/TSE.2006.115 DOI: https://doi.org/10.1109/TSE.2006.115

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Published

2017-12-31

How to Cite

Desamsetti, H., & Mandapuram, M. (2017). A Review of Meta-Model Designed for the Model-Based Testing Technique. Engineering International, 5(2), 107–110. https://doi.org/10.18034/ei.v5i2.661

Issue

Vol. 5 No. 2 (2017): July - December

Section

Peer Reviewed Articles

License

Copyright (c) 2017 Harshith Desamsetti, Mounika Mandapuram

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