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Scenarios have been widely used for discovering requirements in requirements engineering. Yet, requirements directly obtained from scenarios are often incomplete and inaccurate due to their inherent limitations. This paper presents a pattern language which takes a scenario obtained in the early stages of requirements analysis and transforms it into a rich set of multi-perspective models. These models respectively represent the process behavior, object behavior, agent behavior, and intentional goal of the scenario. Collectively, these models aim to provide a more complete and accurate requirements specification than the original scenario description. The transformation of these models is performed by a sequence of four patterns: establishing the story line, elaborating things that change, identifying agents and their interactions, and unraveling the goal and its subgoals. The scope of the transformation is defined by a fundamental structure (a meta-model) shared by scenarios used for cognition as well as for requirements discovery. The pattern language intends to provide a systematical approach for transforming scenarios into requirements specification models.