SEApr 8, 2015

Proceedings Tenth Workshop on Model Based Testing

arXiv:1504.01928v1
Originality Synthesis-oriented
AI Analysis

This is an incremental workshop for researchers and users to discuss the state of the art in model-based testing techniques and tools.

The workshop addressed model-based testing for software and hardware, focusing on using models to guide test selection and evaluation, and validating system behavior against models while also identifying model errors.

The workshop is devoted to model-based testing of both software and hardware. Model-based testing uses models describing the required behavior of the system under consideration to guide such efforts as test selection and test results evaluation. Testing validates the real system behavior against models and checks that the implementation conforms to them, but is capable also to find errors in the models themselves. The intent of this workshop is to bring together researchers and users of model-based testing techniques and tools to discuss the state of the art in theory, applications, tools, and industrialization of model-based testing and related domains.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes