2008 Sixth International Conference on Software Engineering Research, Management and Applications
Modeling Enhanced Scenarios for Automated Instrumentation
August 20-August 22
ISBN: 978-0-7695-3302-5
There is a resurgence of research in model-based testing, especially in the automated generation of test cases from abstract models. However this work largely remains theoretical: industrial adoption is low. This is partly due to the dominance of state-based approaches that often rely on global states that are problematic with respect to scalability and traceability. Developers and testers alike significantly prefer the intuitive nature, traceability and user-friendliness of scenarios, to the semantics of formal approaches. Proposals for scenario-driven testing exist but, as is the case for the vast majority of existing work on model-based testing, there is a considerable gap between the generated test cases and their corresponding IUT instrumentation. It is this problem we address here. In this paper we focus on modeling responsibilities and scenarios within a scenario-driven testing framework that generates fully-instrumented test cases. Our work proceeds from the scenario contracts proposed by Nebut et al.
Index Terms:
Automation, Instrumentation, Scenarios
Citation:
Dave Arnold, Jean-Pierre Corriveau, "Modeling Enhanced Scenarios for Automated Instrumentation," sera, pp.290-297, 2008 Sixth International Conference on Software Engineering Research, Management and Applications, 2008