10th Workshop on Advances in Model Based Testing (A-MOST 2014) 

Welcome to the home page of the 10th A-MOST (Advances in Model Based Testing) workshop!

A-MOST's program is now online! Our keynote speaker this year is Gordon Fraser, from Sheffield University. Also, this year we will have an award for the best paper!

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 2014 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 from have been successfully applied and continue to converge into comprehensive approaches to software and system engineering. The area encompass models derived from object-oriented software engineering, formal methods, and other mathematical and engineering disciplines.

A-MOST will focus on three main areas:
  • The models used in model based testing
  • The processes, techniques, and tools that support model based testing
  • Evaluation of model based testing


Objectives and Scope
A-MOST 2014 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 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 and simulation
  • Environment and use models
  • Non-functional models
  • Models for variant-rich and highly configurable systems


  • Model-based test generation algorithms
  • Application of model checking techniques in model-based testing
  • 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


  • 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

Maintained by Levi Lúcio. Last Modified: 2014/10/05 09:40:20.