Optimizing Verification of Structurally Evolving Algebraic Petri Nets

System models are subject to evolve during the development life cycle, along which an initial version goes through a series of evolutions, generally aimed at progressively reaching all the requested qualities (completeness, correctness etc.). Among the existing development methodologies the iterative and incremental one has been proved to be efficient for system development but lacks of support for an adequate verification process. When considering Algebraic Petri nets (APNs) for modeling and model checking for verification, all the proofs must be redone after each iteration which is impractical both in terms of time and space. In this work, we introduce an Algebraic Petri net slicing technique that optimizes the model checking of static or structurally evolving APN models. Furthermore, our approach is proposing a classification of evolutions dedicated to the improvement of model checking.