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11:00 | An Animation Module for TLA+ ABSTRACT. The Animation module is a new TLA+ module which allows for the creation of interactive visualizations of TLC execution traces that can be run inside a web browser. The talk will present an overview of the core concepts of the Animation module and how it works, and then demonstrate a few examples of TLA+ specs that have been animated using the module. |
11:45 | BMCMT – Bounded Model Checking of TLA+ Specifications with SMT SPEAKER: Igor Konnov ABSTRACT. We present the development version of BMCMT, a symbolic model checker for TLA+. It finds, whether a TLA+ specification satisfies an invariant candidate by checking satisfiability of an SMT formula that encodes: (1) an execution of bounded length, and (2) preservation of the invariant candidate in every state of the execution. Our tool is still in the experimental phase, due to a number of challenges posed by TLA+ semantics to SMT solvers. We will discuss these challenges and our current approach to them in the talk. Our preliminary experiments show that BMCMT scales better than the standard TLA+ model checker TLC for large parameter values, e.g., when a TLA+ specification models a system of 10 processes, though TLC is more efficient for tiny parameters, e.g. when the system has 3 processes. |
16:00 | Invariants in Distributed Algorithms SPEAKER: Yanhong A. Liu ABSTRACT. We will discuss making invariants explicit in specification of distributed algorithms. Clearly this helps prove properties of distributed algorithms. More importantly, we show that this helps make it easier to express and to understand distributed algorithms at a high level, especially through direct uses of message histories. We will use example specifications in TLA+, for verification of Paxos using TLAPS, as well as complete excutable specifications in DistAlgo, a high-level language for distributed algorithms. |
16:45 | Proving properties of a minimal covering algorithm SPEAKER: Ioannis Filippidis ABSTRACT. This work concerns the specification and proof using TLA+ of properties of an algorithm for solving the minimal covering problem, which we have implemented in Python. Minimal covering is the problem of choosing a minimal number of elements from a given set to cover all the elements from another given set, as defined by a given function. The TLA+ modules are available online. The proofs of safety properties in these modules have been checked with the proof assistant TLAPS (version 1.4.3), in the presence of the tools Zenon, CVC4, Isabelle, and LS4. We have been motivated to study and implement this algorithm for converting binary decision diagrams to formulas of small size, so that humans can read the results of symbolic computation. |
Workshops dinner at Magdalen College. Drinks reception from 7.15pm, to be seated by 7:45 (pre-booking via FLoC registration system required; guests welcome).