Abstract. The definition of system contexts is one of the most relevant activities in early phases of requirements engineering. It allows system engineers to narrow the system scope, by defining well established system boundaries. In practice, outlining a system context is cumbersome. In order to support this process, in this paper we propose a catalogue of context models elements expressed in i*, which can be reused as building blocks in the construction of context models for new systems. We describe the process used for the identification of a set of actors and dependencies recurrently appearing in several academic and industrial cases, and the process to store them into a catalogue of reusable i* context dependencies. The paper also illustrates possible cases of instantiation, to reuse them as patterns or context models chunks, which can be parametrized in relation to a given domain, with the support of a tool specifically designed for this purpose.

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Several notations have been proposed in the last decades to support information system architecting, design and implementation. Although some of them have been widely adopted, their practical application remains cumbersome. Reasons are manifold: ambiguous semantics, confusing graphical representation, lack of safe guidelines, etc. In this paper, we explored the use of the i* framework in industry for modeling organizational context. We review the models resulting from 36 industrial collaborations conducted in the last five years, where i* has been intensively used by novice modellers, without previous exposure to i*, acting as junior consultants in the organizations. We identify and categorize the main problems that they faced and as a result, we propose a set of guidelines to improve the adoption and practical application of the framework.

una profunda comprensión de su entorno y estructura organizacional; sin embargo, la construcción de dichos modelos no es una tarea fácil debido a las brechas de conocimiento y comunicación entre los interesados, técnicos y administrativos. El método DHARMA, que hace uso intensivo de la notación i*, propone una solución a este problema, al apoyar la construcción de Modelos de Contexto. En este trabajo se presenta un enfoque para anotación de modelos i* utilizando tecnologías semánticas, para que apoyen la búsqueda y generación de modelos de contexto basados en el conocimiento definido en el modelo ontológico, permitiendo la creación de un Repositorio Semántico de Modelos de Contexto, que será empleado para descubrir relaciones entre diferentes modelos i* y extraer patrones de éstos.