Online Testing of the ABOT Game Server Using the Qtronic Tool

Xiufeng Liu; Dragos Truscan; Johan  Lilius

Online Testing of the ABOT Game Server Using the Qtronic Tool

Xiufeng Liu, Dragos Truscan, Johan Lilius

Research output: Book/Report › Report

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Abstract

This technical report describes our experience in online testing using Conformiq Qtronic, a model-based testing tool that can automate the test generation and execution. A mobile game server is used as system under test (SUT). We show how the server is modeled in Qtronic, how an adapter between Qtronic and the SUT is implemented, and how the automatically generated tests are run against the SUT. The approach proved that taking advantage of the automatically generated tests, the SUT can be tested extensively within a short time frame, thus increasing the chances of discovering hidden implementation errors.

Original language	English

Publisher	Turku Centre for Computer Science
Number of pages	28
Publication status	Published - 2008
Externally published	Yes

Series	T U C S Technical Report
Number	879

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abstract = "This technical report describes our experience in online testing using Conformiq Qtronic, a model-based testing tool that can automate the test generation and execution. A mobile game server is used as system under test (SUT). We show how the server is modeled in Qtronic, how an adapter between Qtronic and the SUT is implemented, and how the automatically generated tests are run against the SUT. The approach proved that taking advantage of the automatically generated tests, the SUT can be tested extensively within a short time frame, thus increasing the chances of discovering hidden implementation errors.",

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AB - This technical report describes our experience in online testing using Conformiq Qtronic, a model-based testing tool that can automate the test generation and execution. A mobile game server is used as system under test (SUT). We show how the server is modeled in Qtronic, how an adapter between Qtronic and the SUT is implemented, and how the automatically generated tests are run against the SUT. The approach proved that taking advantage of the automatically generated tests, the SUT can be tested extensively within a short time frame, thus increasing the chances of discovering hidden implementation errors.