The engineering of Software Product Line (SPL) has the products derivation as one of its areas, which uses the strategy of products implementation from features previously selected. The artifacts developed, can be generated or compound during the step of domain implementation. Despite its importance, the activity of product derivation continues to be costly and error prone, and it is still difficult to automate and have support by means of tools. Furthermore, few papers have been dedicated to the product derivation process and the strategies of applying it in practical context. Thus, there is a lack of empirical reports describing the product derivation in industrial environment, in general. This Master’s dissertation, proposes the systematization of the process of system distribution of cloned web application, through the semiautomatic product derivation of existing softwares, refactoring to SPL. A well as, the use of a support tool to realize the implementation of the instance of the system previously configured, making the software product available and ready to be used in a server. Furthermore, a controlled experiment was conducted to qualitatively and quantitatively analyse product derivation process, before and after the use of this approach with and without the support tool. This approach specifies a set systematic and well-defined activities that help which will assist the system analysts and programmers to do the product derivation of the product refactored to a SPL, from a existenting system. Through the use of an approach supported by a tool, it will be possible to manage the product and its features, leaving it ready to be semiautomatic configured product, ready to be derived end deployed. The study carried out through a controlled experiment, provides information about of the concepts and actions explored in the literature, such as: derivation of softwares products, software deployment, cloning of the SPL, software reengineering of SPL, refactoring of SPL and source-code generation. IT professionals can use this work as a basis for define, adapt or evaluate theirs own derivation approaches with product deployment. While researchers can use this work, as a starting point for new industrial reports, showing yours experiences with in product derivation. The results obtained in this study showed that when using the proposed approach, it was possible to contribute with the derivation and implantation of software products in more agile, productive and satisfaction way. Even in situations where the user has few experiences with derivation and deployment of software, the actions taken to do so will occur in less time and with a good corretude during this process.