Automatic Transformation-Based Model Checking of Multi-agent Systems

Multi-Agent Systems (MASs) are highly useful constructs in the context of real-world software applications. Built upon communication and interaction between autonomous agents, these systems are suitable to model and implement intelligent applications. Yet these desirable features are precisely what makes these systems very challenging to design, and their compliance with requirements extremely difficult to verify. This explains the need for the development of techniques and tools to model, understand, and implement interacting MASs. Among the different methods developed, the design-time verification techniques for MASs based on model checking offer the advantage of being formal and fully automated. We can distinguish between two different approaches used in model checking MASs, the direct verification approach, and the transformation-based approach. This thesis focuses on the later that relies on formal reduction techniques to transform the problem of model checking a source logic into that of an equivalent problem of model checking a target logic. In this thesis, we propose a new transformation framework leveraging the model checking of the computation tree logic (CTL) and its NuSMV model checker to design and implement the process of transformation-based model checking for CTL-extension logics to MASs. The approach provides an integrated system with a rich set of features, designed to support the transformation process while simplifying the most challenging and error-prone tasks. The thesis presents and describes the tool built upon this framework and its different applications. A performance comparison with MCMAS, the model checker of MASs, is also discussed

Model Checking Real-Time Conditional Commitment Logic using Transformation

A new logical language for real-time conditional commitments called RTCTLcc has been developed by extending the CTL logic with interval bounded until modalities, conditional commitment modalities, and fulfillment modalities. RTCTLcc allows us to express qualitative and quantitative commitment requirements in a convenient way. These requirements can be used to model multi-agent systems (MASs) employed in environments that react properly and timely to events occurring at time instants or within time intervals. However, the timing requirements and behaviors of MASs need an appropriate way to scale and bundle and should be carefully analyzed to ensure their correctness, especially when agents are autonomous. In this paper, we develop transformation algorithms that are fully implemented in a new Java toolkit for automatically transforming the problem of model checking RTCTLcc into the problem of model checking RTCTL (real-time CTL). The toolkit engine is built on top of the NuSMV tool, effectively used to automatically verify and analyze the correctness of real-time distributed systems. We analyzed the time and space computational complexity of the RTCTLcc model checking problem. We proved the soundness and completeness of the transformation technique and experimentally evaluated the validity of the toolkit using a set of business scenarios. Moreover, we added a capability in the toolkit to automatically scale MASs and to bundle requirements in a parametric form. We experimentally evaluated the scalability aspect of our approach using the standard ordering protocol. We further validated the approach using an industrial case study