In addition to the benefits brought by the use of Distributed Software Development, new challenges linked to its use also emerged. Due to lack of information companies and organizations around the globe, independently, solve these challenges in many different ways, each with their practices, some more some less efficient, where best practices are hardly widespread among DDS community. In this context, this paper aims to present a web system based on Case Based Reasoning and Natural Language Processing to extract information in text form of problems and solutions adopted by distributed software projects and to recommend similar past experiences in order to support the decisions and resolutions of problems arising from new situations in distributed projects. The feasibility proof of the method was made from experimental tests conducted to identify the success of the recommendations of previous valid cases, with a success rate of 90% for the sample used.
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