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TAICPART
2006
IEEE

Integration Testing of Components Guided by Incremental State Machine Learning

10 years 10 months ago
Integration Testing of Components Guided by Incremental State Machine Learning
The design of complex systems, e.g., telecom services, is nowadays usually based on the integration of components (COTS), loosely coupled in distributed architectures. When components come from third party sources, their internal structure is usually unknown and the documentation is insufficient. Therefore, the system integrator faces the problem of providing a required system assembling COTS whose behaviour is barely specified and for which no model is usually available. In this paper, we address the problem of integration testing of COTS. It combines test generation techniques with machine learning algorithms. Statebased models of components are built from observed behaviours. The models are alternatively used to generate tests and extended to take into account observed behaviour. This process is iterated until a satisfactory level of confidence in testing is achieved.
Keqin Li 0002, Roland Groz, Muzammil Shahbaz
Added 12 Jun 2010
Updated 12 Jun 2010
Type Conference
Year 2006
Where TAICPART
Authors Keqin Li 0002, Roland Groz, Muzammil Shahbaz
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