Surveys are pervasive in the modern world with its usage ranging from the field of customer satisfaction measurement to global economic trends tracking. At the core of survey processes is data collection which is, usually, computer aided. The development of data collection software involves the codification of questionnaires which vary from simple straightforward questions to complex questionnaires in which validations, derived data calculus, triggers used to guarantee consistency and dynamically created objects of interest are the rule. The questionnaire specification is part of what is called survey metadata and is a key factor for collected data and survey quality. Survey metadata establishes most of the requirements for survey support systems including data collection software. As the survey process is executed, those requirements need to be translated, coded and deployed in a sequence of activities that demands strategies for being efficient and effective. Model Driven Engineering enters this picture with the concept of software crafted directly from models. In this context, this dissertation proposes the usage of a Domain Specific Language (DSL) for modeling questionnaires, presents a prototype and evaluates DSL as a strategy to reduce the gap between survey domain experts and software developers, improve reuse, eliminate redundancy and minimize rework.