A filtering engine for large conceptual schemas

Postprint (published version

Computing the Importance of Schema Elements Taking Into Account the Whole SCHEMA

Conceptual Schemas are one of the most important artifacts in the development cycle of information systems. To understand the conceptual schema is essential to get involved in the information system that is described within it. As the information system increases its size and complexity, the relative conceptual schema will grow in the same proportion making di cult to understand the main concepts of that schema/information system. The thesis comprises the investigation of the in uence of the whole schema in computing the relevance of schema elements. It will include research and implementation of algorithms for scoring elements in the literature, an study of the di erent results obtained once applied to a few example conceptual schemas, an extension of those algorithms including new components in the computation process like derivation rules, constraints and the behavioural subschema speci cation, and an in-depth comparison among the initial algorithms and the extended ones studying the results in order to choose those algorithms that give the most valuable output

Extending the methods for computing the importance of entity types in large conceptual schemas

Visualizing and understanding large conceptual schemas requires the use of specific methods. These methods generate clustered, summarized, or focused schemas that are easier to visualize and understand. All of these methods require computing the importance of each entity type in the schema. In principle, the totality of knowledge defined in the schema could be relevant for the computation of that importance but, up to now, only a small part of that knowledge has been taken into account. In this paper, we extend seven existing methods for computing the importance of entity types by taking into account more relevant knowledge defined in the structural and behavioural parts of the schema. We experimentally evaluate the original and extended versions of these methods with three large real-world schemas. We present the two main conclusions we have drawn from the experiments.Postprint (published version

UML profile for MIF static models. Version 1.0

HL7 provides standards for interoperability that improve care delivery, optimize workflow, reduce ambiguity and enhance knowledge transfer among all of our stakeholders, including healthcare providers, government agencies, the vendor community, fellow SDOs and patients. In all of our processes we exhibit timeliness, scientific rigor and technical expertise without compromising transparency, accountability, practicality, or our willingness to put the needs of our stakeholders first. HL7 is holding a contest to encourage the development of HL7 tools. This document describes the specification of a UML Profile for MIF Static Models as a particular submission to the HL7 2012-2013 Tooling ChallengePreprin

Computing the Importance of Schema Elements Taking Into Account the Whole SCHEMA

Conceptual Schemas are one of the most important artifacts in the development cycle of information systems. To understand the conceptual schema is essential to get involved in the information system that is described within it. As the information system increases its size and complexity, the relative conceptual schema will grow in the same proportion making di cult to understand the main concepts of that schema/information system. The thesis comprises the investigation of the in uence of the whole schema in computing the relevance of schema elements. It will include research and implementation of algorithms for scoring elements in the literature, an study of the di erent results obtained once applied to a few example conceptual schemas, an extension of those algorithms including new components in the computation process like derivation rules, constraints and the behavioural subschema speci cation, and an in-depth comparison among the initial algorithms and the extended ones studying the results in order to choose those algorithms that give the most valuable output

On computing the importance of entity types in large conceptual schemas

The visualization and the understanding of large conceptual schemas require the use of specific methods. These methods generate clustered, summarized or focused schemas that are easier to visualize and to understand. All of these methods require computing the importance of each entity type in the schema. In principle, the totality of knowledge defined in the schema could be relevant for the computation of that importance but, up to now, only a small part of that knowledge has been taken into account. In this paper, we extend six existing methods for computing the importance of entity types by taking into account all the relevant knowledge defined in the structural and behavioural parts of the schema. We experimentally evaluate the original and the extended versions of those methods with two large real-world schemas. We present the two main conclusions we have drawn from the experiments.Peer ReviewedPostprint (published version

UML profile for MIF static models

This article summarizes our contribution to the 2012-2013 HL7 Tooling Challenge “Produce a UML Profile for MIF Static Models”. The main goal of the profile is to enable the representation in UML of the MIF static models. This representation allows all members of the large software engineering community to understand those models without requiring additional training. Furthermore, the healthcare community can benefit from existing UML-based modeling tools and methodologies. Among others, there are tools that generate a significant part of the final code of a software system from its UML model. In what follows, we first briefly describe the proposed profile, and then we illustrate its use by means of a small example in the transformation of MIF models into equivalent UML models.Postprint (published version

Propuesta de plan de mejora del clima laboral del Banco Continental BBVA Balta basado en la teoría de Litwin y Stringer, Chiclayo

El presente trabajo de investigación surgió a partir de la observación de la situación actual del clima laboral que existe en la agencia del Banco Continental BBVA, Balta, ubicada en la ciudad de Chiclayo, y del diagnóstico se generó una propuesta de mejora en el aspecto antes mencionado para dicha entidad bancaria. Por lo tanto, el presente trabajo de investigación se trazó como objetivo: desarrollar una propuesta de un plan de mejora, basado en la teoría de Litwin y Stinger, para el clima laboral de los trabajadores del Banco Continental BBVA Balta-Chiclayo. Asimismo, nos planteamos la siguiente hipótesis: la propuesta de un plan de mejora basado en la teoría de Litwin y Stinger mejorará el clima laboral de los trabajadores del Banco Continental BBVA Balta-Chiclayo. El presente estudio es importante por cuanto pretende despertar la reflexión de la alta dirección de las organizaciones sobre el clima laboral, en las que se desenvuelve el personal de cada institución financiera del sector de la banca comercial. Se concluye, los trabajadores de la agencia del banco BBVA – Continental: conocen claramente la estructura organizativa, falta trabajar en equipo, perciben las recompensas como un estímulo por el trabajo bien realizado, asumen riesgos, existe un clima laboral apto para el trabajo, generalmente son indiferentes sobre la existencia de un espíritu de ayuda, las normas de rendimiento son bastante alto, existen conflictos y el grado de identidad de los trabajadores con la empresa es alto