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A survey on model-based testing approaches

Arilo Cláudio Dias Neto, Rajesh Subramanyan, Marlon Vieira, Guilherme Horta Travassos

Open publisher page 307 citations

Abstract

This paper describes a systematic review performed on model-based testing (MBT) approaches. A selection criterion was used to narrow the initially identified four hundred and six papers to focus on seventy-eight papers. Detailed analysis of these papers shows where MBT approaches have been applied, the characteristics, and the limitations. The comparison criteria includes representation models, support tools, test coverage criteria, the level of automation, intermediate models, and the complexity. This paper defines and explains the review methodology and presents some results.

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What this paper is about

This paper describes a systematic review performed on model-based testing (MBT) approaches. A selection criterion was used to narrow the initially identified four hundred and six papers to focus on seventy-eight papers. Detailed analysis of these papers shows where MBT approaches have been applied, the characteristics, and the limitations. The comparison criteria includes representation models, support tools, test coverage criteria, the level of automation, intermediate models, and the complexity. This paper defines and explains the review methodology and presents some results.

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OpenAlex reports 307 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This paper describes a systematic review performed on model-based testing (MBT) approaches. A selection criterion was used to narrow the initially identified four hundred and six papers to focus on seventy-eight papers. Detailed analysis of these papers shows where MBT approaches have been applied, the characteristics, and the limitations. The comparison criteria includes representation models, support tools, test coverage criteria, the level of automation, intermediate models, and the complexity. This paper defines and explains the review methodology and presents some results.

Key concepts: Computer science, Focus (optics), Automation, Selection (genetic algorithm), Representation (politics), Model selection, Data mining, Software engineering

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