Theme and Goals: The increasing complexity of software results in new challenges for testing. Model Based Testing (MBT) continues to be an important research area, where new approaches, methods and tools make MBT techniques more deployable and useful for industry than ever. Models and different abstractions can ease comprehension of a complex system and ease test generation and automation. A–MOST has proven to be a successful workshop that brings researchers and practitioners together discussing formal and semi–formal approaches, specification formats and notations that contribute to simplifying complex aspects of a system. The goal is to bring researchers and practitioners together to discuss state of the art, practice and future prospects in MBT.<br>Topics of Interest: This workshop would like to encourage the submission of original papers that deal with any of the following topics, but not limited to:<br>The models used in MBT<br>The processes, techniques, and tools that support MBT<br>Evaluation (i.e., the evaluation of software using MBT and the evaluation of MBT) Models<br>Models for component, integration and system testing<br>Product–line models & (Hybrid) embedded system models<br>Systems–of–systems models & Architectural models<br>Models for orchestration and choreography of services<br>Executable models and simulation<br>Environment and use models<br>Non–functional models and quantitative MBT<br>Model–based test generation algorithms<br>Application of model checking techniques in model–based testing<br>Tracing from requirements model to test models<br>Performance and predictability of model–driven development<br>Test model evolution during the software lifecycle<br>Generation of testing–infrastructures from models<br>Combinatorial approaches for MBT Statistical testing<br>Estimating dependability (e.g., security, safety, reliability) using MBT<br>Coverage metrics and measurements for structural and (non–)functional models<br>Cost of testing, economic impact of MBT<br>Empirical validation, experiences, case studies using MBT<br>
Abbrevation
A-MOST
City
Graz
Country
Austria
Deadline Paper
Start Date
End Date
Abstract