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Environment Modeling in Model-Based Testing: Concepts, Prospects and Research Challenges. A Systematic Literature Review

Faezeh Siavashi, Dragos Truscan, Environment Modeling in Model-Based Testing: Concepts, Prospects and Research Challenges. A Systematic Literature Review. In: He Zhang, Muhammad Ali Babar (Eds.), 19th International Conference on Evaluation and Assessment in Software Engineering, 1–6, ACM, 2015.

http://dx.doi.org/10.1145/2745802.2745830

Abstract:

In this paper, we describe a systematic literature review (SLR) on the use of environment models in model-based testing (MBT). By applying selection criteria, we narrowed down the identified studies from two hundred ninety seven papers to sixty one papers which are used in this analysis. The results show that environment models are especially useful in testing systems with high complexity and non- deterministic behaviors in terms of facilitating automatic test generation. However, building environment models is not a trivial task due to the lack of a systematic methodol- ogy and of supporting tools for automation.

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BibTeX entry:

@INPROCEEDINGS{inpSiTr15a,
  title = {Environment Modeling in Model-Based Testing: Concepts, Prospects and Research Challenges. A Systematic Literature Review},
  booktitle = {19th International Conference on Evaluation and Assessment in Software Engineering},
  author = {Siavashi, Faezeh and Truscan, Dragos},
  editor = {Zhang, He and Babar, Muhammad Ali},
  publisher = {ACM},
  pages = {1–6},
  year = {2015},
  keywords = {environment model, software testing, model-based testing, systematic literature review},
}

Belongs to TUCS Research Unit(s): Software Engineering Laboratory (SE Lab)

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