With the continuous evolution of production systems towards Cyber Physical Systems and the existence of completely digital production systems, i.e., banking and ecommerce, support codding production systems are born to satisfy the need for new code that keeps their systems updated and competitive in an ever-evolving context. IT projects for digital factories are managed through Agile methodologies that allows to manage volatile requirements, nevertheless, due to the nature of agile methodologies to assign a small amount of time for grooming and planning, it is a challenge to provide a reliable estimation and planning for large scale projects and thus there is an obvious gap between planning and the real production schedule performed. This scenario difficult the quantification of production prioritization change's consequences which difficult the company's directors to take adequate decisions. To address such challenge, a methodology is presented in which the development teams of a same company are interpretated as a production system, noting their similarities and differences with a physical production system. This representation allows the user to perform and apply several of the asset management tools, which allows to perform better impact analysis and quantify the effect prioritization changes.