Theoretical Computer Science
SOBER: statistical model-based bug localization
Proceedings of the 10th European software engineering conference held jointly with 13th ACM SIGSOFT international symposium on Foundations of software engineering
Testing real-time embedded software using UPPAAL-TRON: an industrial case study
Proceedings of the 5th ACM international conference on Embedded software
Empirical evaluation of the tarantula automatic fault-localization technique
Proceedings of the 20th IEEE/ACM international Conference on Automated software engineering
Practical Model-Based Testing: A Tools Approach
Practical Model-Based Testing: A Tools Approach
Component-Based Design and Analysis of Embedded Systems with UPPAAL PORT
ATVA '08 Proceedings of the 6th International Symposium on Automated Technology for Verification and Analysis
Model-Based Testing for Embedded Systems
Model-Based Testing for Embedded Systems
Design of adaptive security mechanisms for real-time embedded systems
ESSoS'12 Proceedings of the 4th international conference on Engineering Secure Software and Systems
A taxonomy of model-based testing approaches
Software Testing, Verification & Reliability
On Combining Model-Based Analysis and Testing
ITNG '13 Proceedings of the 2013 10th International Conference on Information Technology: New Generations
Testing of Timing Properties in Real-Time Systems: Verifying Clock Constraints
APSEC '13 Proceedings of the 2013 20th Asia-Pacific Software Engineering Conference (APSEC)
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In this paper we introduce a method for runtime verification of the behavior of a system against state machines models in order to identify inconsistencies between the two. This is achieved by tracking states and transitions at runtime and comparing with the expected behavior of the system captured in the form of state machine models. The goal is to increase our confidence that the order of states at runtime matches what is specified by the models. The method also provides for defect localization by identifying that in the transition between which states a deviation from the expected behavior has occurred. The necessity and importance of the method lies in the fact that in model-based development, models are also used to perform analysis. Therefore, if there is any discrepancy between the behavior of the system at runtime and the models, then the result of model-based analyses which are performed may also be invalid and not applicable for the system anymore. For this purpose, in our method we create executable test cases from state machine models to test the runtime behavior of the system.