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Lectures on Runtime Verification by Ezio Bartocci download in iPad, pdf, ePub

Partitionrefinement and model checking

Various specification languages for specifying requirements models are reviewed. Language inclusion and language equivalence. Configurations organize the state in units called cells, which are labeled and can be nested. Decision making in cyber-physical systems often requires dynamic monitoring of a data stream to compute performance-related quantitative properties.

Software Reliability Growth with Test Coverage. Partition-refinement and model checking within mu-calculus. The course will initially address the issue of program instrumentation using aspect oriented programming. For example, the role of a verification model is to support automated checking that an operational model of the system requirements satisfies critical properties. The lectures will give an overview on the automata- and game-theoretic foundations cf.

Finite abstractions of infinite transition systems. We conclude by outlining the rich opportunities for both theoretical investigations and practical systems for real-time decision making in IoT applications.

Alternative methods and heuristics serve applications with different characteristics, e. In this series of lectures, I will first give an overview of theoretical results. The check whether the specified properties are realizable and the construction of the actual implementation is taken care of by the synthesis algorithm. Hybrid automata as discrete-continuous models of hybrid systems. In either case, the system requirements are represented in terms of quantities in the system environment.

Executions and traces of hybrid automata. Modern overapproximation techniques for reachability analysis. Computations carry computational meaning as special nested list structures sequentializing computational tasks, such as fragments of program. This will involve consideration of evidence and argumentation, runtime monitoring, trust in tools, and related topics. Modularity makes verification scalable, allows one to give correctness guarantees for individual components such as libraries, and reduces the re-verification effort required by program changes.

Software Reliability Growth with

The Influence of Uncertainty. Although the course focuses on Java, the ideas extend to other languages. In this series of lectures, I will present a verification approach that addresses these challenges using a notion of access permissions for memory locations. Instead, we attempt to eliminate faults using good engineering practice, testing, and formal methods.

Along the way I will introduce interactive theorem proving assuming no one else does so and will conclude with future challenges, such as assurance for automated driving. The more pervasive and more complex these systems become, the more is the infrastructure of our modern society relying on their dependability. Finally, we discuss the usefulness of fault models for the derivation of check lists and present a live cycle model for defect models. Angelo Gargantini and Constance L.

Defect-Based Testing Intuition and text books suggest that good tests are those that unveil faults. The approach is model-based and relies in part on the use of formal specifications for specific kinds of analyses. In addition, we will look at runtime verification techniques that inspect the progress of executions as they unfold.