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Welcome to the 12th edition of the A-MOST Workshop in Chicago ! 

    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 2016 will bring together researchers and practitioners interested in the topic of Model Based Testing.

    The use of models for designing and testing software is currently one of the most salient industrial trends with significant impact on the development and testing processes. Model-based tools and methods have been successfully applied and continue to converge into comprehensive approaches to software and system engineering. The area encompasses models derived from object-oriented software engineering, formal methods, and other mathematical and engineering disciplines.

    The execution of software using test cases or sequences derived in a manual or automatic manner from models, often referred to as MBT, is an encouraging scientific and industrial trend to cope with growing software system complexity. Modeling requires substantial investment, and practical and scalable MBT solutions can help leverage this investment. The testing models may have been adapted from system design models or might have been devised specifically to support MBT. Naturally, the greatest benefits are often obtained when test generation is automated, but many practitioners report that the modeling process itself is of value, often highlighting requirements issues. 

    The use of industrial scale software demands the model-based construction of software and systems as compositions of independent and reusable actors. In this engineering paradigm, complex system functionality arises out of the composition of many component services. For these systems, model based testing may significantly improve component acceptance and move component integration testing towards a canonical validation and certification of complete systems.

    Automation of software development and software testing on the basis of executable models and simulation promises significant reductions in fault-removal cost and development time. As a consequence of automating MBT, changes in requirements analysis, development and testing processes are needed that demand combined efforts from research and industry towards a broadly accepted solution. 

    A-MOST 2016 will focus on three main areas: the models used in MBT; the processes, techniques, and tools that support MBT; and evaluation. Here, evaluation includes the evaluation of software using MBT and the evaluation of MBT. These areas can be further broken down into the following topics.

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

PROCESSES, METHODS AND TOOLS
Model-based test generation algorithms
Application of model checking techniques to model-based testing
Model-based Mutation Testing
Symbolic execution-based techniques
Tracing from requirements model to test models
Performance and predictability of model-driven development 
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

EXPERIENCES AND EVALUATION
Non-functional MBT
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