Advances in Model-Based Software Testing, Porto, Portugal,

The increasing complexity, criticality and pervasiveness 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 (for automatic test case generation) more deployable and useful for industry than ever. Following the success of previous editions, the goal of the A-MOST workshop is to bring researchers and practitioners together to discuss state of the art, practice and future prospects in MBT. Topics and sub-topics (not exhaustive): MODELS Models for component, integration and system testing Product-line models (Hybrid) embedded system models Systems-of-systems models Architectural models Models for orchestration and choreography of services Executable models, simulation and model transformations Environment and use models Non-functional models Models for variant-rich and highly configurable systems Machine-learning based models PROCESSES, METHODS AND TOOLS Model-based test generation algorithms Application of model checking techniques to MBT Symbolic execution-based techniques Tracing from requirements models to test models Performance and predictability of MBT Test model evolution during the software life-cycle Risk-based approaches for MBT Generation of testing infrastructures from models Combinatorial approaches for MBT Statistical testing Non-functional MBT Derivation of test models by reverse engineering and machine learning EXPERIENCES AND EVALUATION Estimating dependability (e.g., security, safety, reliability) using MBT Coverage metrics and measurements for structural and (non-)functional models Cost of testing, economic impact of MBT Empirical validation, experiences, case studies using MBT NOVEL APPLICATIONS The role of MBT in automata learning (model inference, model mining) Generating training data for machine learning Model-based security testing Statistical model checking