Automated Software Engineering
Formal Development and Validation of Java Dependable Distributed Systems
ICECCS '99 Proceedings of the 5th International Conference on Engineering of Complex Computer Systems
A metadata-based architectural model for dynamically resilient systems
Proceedings of the 2007 ACM symposium on Applied computing
Spin model checker, the: primer and reference manual
Spin model checker, the: primer and reference manual
DESIGN AND SYNTHESIS OF SYNCHRONIZATION SKELETONS USING BRANCHING TIME TEMPORAL LOGIC
25 Years of Model Checking
Automated Software Engineering
Automated Encapsulation of UML Activities for Incremental Development and Verification
MODELS '09 Proceedings of the 12th International Conference on Model Driven Engineering Languages and Systems
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The resilience of a software system can be guaranteed, among other techniques, by model checking. In that setting, it consists in exploring every execution of the system to detect violations of resilience properties. One approach is to automatically transform the program into a model. To harness the system complexity and the state space explosion, designers usually abstract details of the studied system. However, abstracting too many details may dramatically impact the validity of the model checking. This includes details about the execution environment on which resilience properties are often based. This article sketches an iterative methodology to verify and refine the transformation. We introduce the concept of witness programs to reveal a set of behaviors that the transformation must preserve.