Investigación

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Browsing Investigación by Author "Abad Regalado, Karina Alexandra"

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    IStar in practice: On the identification of reusable SD Context Models elements
    (CEUR-WS, 2015-08-24) Abad Regalado, Karina Alexandra; Carvallo Vega, Juan Pablo; Peña, C
    Modern enterprises rely on Information Systems (IS) required both to support their operation and provide information required to endorse strategic decisions. Because of their increasing complexity, such systems are usually constructed by integrating software components of different nature and origins into hybrid systems, for which architectural design plays a fundamental role. However, far from simple, this task is usually cumbersome. In previous work we have addressed this issue and proposed a four steps, pattern-based approach, aimed to help in the solution of this problem. In first steps, patterns are described as Context Models, which include recurring elements (actors and dependencies) identified in several industrial cases. In this work we further address this issue and present an study aimed at the validation and extension of such patterns, and/or the identification of new ones, by reviewing recurring elements appearing in 29 semi-industrial IS architectural design processes.
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    Towards the creation of a semantic repository of iStar-based context models
    (SPRINGER VERLAG, 2015-10-28) Abad Regalado, Karina Alexandra; Carvallo Vega, Juan Pablo; Espinoza Mejía, Jorge Mauricio; Saquicela Galarza, Víctor Hugo
    The System Architecture definition of the majority of organizations requires a deep understanding about its environment and organizational structure; nevertheless, the construction of such models is not an easy task because of the gap of knowledge and communication between the technical and administrative staff. The DHARMA method, which makes intensive use of the i* notation, propose a solution to that problem, supporting the Context Models construction. This paper presents an approach for annotating the i* models with semantic technologies, to support the search and generation of Context Models based on the knowledge defined in ontological models, allowing the creation of a Semantic Repository of Context Models, which will be used to discover relations between different i* models and extract patterns from them.
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    Voces y visiones de estudiantes en la heteroevaluación: el perfil del docente en la educación superior
    (Dykinson, 2024) Arteaga Auquilla, María Teresa; Maldonado Mahauad, Jorge Javier; Abad Regalado, Karina Alexandra