The Aerospace Industry is facing the challenge of developing and integrating disruptive technological innovations by 2035-2050. It means that disruptive design or designs with limited in-service experience need to be integrated in shorter times with high levels of safety and reliability. Composite structures play a major role in this transition, but have to adapt to new designs, new threats (cryogenic temperatures), new material (bio-sourced) and new manufacturing and assembly processes. A key enabler for the reduction of development cycle time and cost is the integration of more simulations in the certification test pyramid. As a result, the simulation of composite structures must reach a high level of credibility. V&VUQ builds and assesses credibility of models through methodologies which bring to play several components like Numerical Simulation tools and Mathematical algorithms, High Performance Computing submission and monitoring, and so forth. The notions of traceability (of both functional capabilities (like models) and data), data visualisation and standardized taxonomy to describe the manipulated quantities and methods are also significantly contributing to the credibility and the decision-making process. Note that some components may already exist and can be re-used off-the-shelf (UQ methodologies, FE software). The present work focuses on an efficient software implementation of the V&VUQ process to support the above challenges. VIMS (Virtual testing Integration platform for decision-Making Support) is a Python library (still under construction) developed from the translation of V&VUQ processes into software requirements. While generic, the VIMS platform is extended for applications to composite structures in a plug-in integrating Composite Damage Models (OPFM and Porto/Girona) at coupons and element levels. Several parametric FE models are integrated under a consistent model template, compatible with the MDO platform GEMSEO. Each FE model integrated in the platform is decomposed in bricks allowing to inter-change different load cases and material definition while making sure that we keep the same numerical model (FE method and material law). The latter constitutes the Travelling Model. We will focus on the model Verification and Validation bricks, including an example of stochastic validation.