32 research outputs found

    Subconjuntos M铆nimos de Correcci贸n para explicar caracter铆sticas muertas en Modelos de L铆neas de Productos. El caso de los Modelos de Caracter铆sticas

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    Aprovechar los beneficios que ofrecen las l铆neas de productos depende, entre otros aspectos, de la calidad de los modelos que representan cada l铆nea de productos. Una parte de la calidad consiste en asegurar que los Modelos de L铆neas de Productos (MLPs) se encuentran libres de defectos. Un tipo de defecto de los MLPs son las caracter铆sticas muertas, ellas son elementos reutilizables que no est谩n presente en ning煤n producto configurado a partir del MLPs. Cuando las caracter铆sticas muertas aparecen, quien crea los MLPs necesita herramientas que le permitan identificar por qu茅 se presentan las caracter铆sticas muertas y c贸mo podr铆a corregirse el modelo. Sin embargo, aunque muchos trabajos en la literatura identifican caracter铆sticas muertas, pocos explican por qu茅 se originan o lo explican de manera incompleta. En este art铆culo se propone un nuevo m茅todo para explicar por qu茅 se presentan caracter铆sticas muertas en un MLP expresado con la notaci贸n modelos de caracter铆sticas. Nuestra explicaci贸n consiste en identificar diferentes subconjuntos de elementos que podr铆an ser modificados para corregir el modelo cada que se presente una caracter铆stica muerta. Esta explicaci贸n ofrece al modelador informaci贸n completa sobre c贸mo corregir el modelo para cada caracter铆stica muerta encontrada

    PARTICIPACI脫N DE LOS CASOS DE USO EN LA SOLUCI脫N DE LOS PROBLEMAS DE UNA ORGANIZACI脫N

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    RESUMEN ANAL脥TICOMediante las decisiones que toman, las organizaciones logran sus objetivos y superan los problemas que surgen. Seg煤n la metodolog铆a Kepner-Tregoe, se puede establecer una relaci贸n secuencial o de trazabilidad entre la definici贸n de una soluci贸n, sus problemas y sus objetivos, con el fin de encontrar la m谩s adecuada. Sin embargo, esta relaci贸n no se aplica al proceso de educci贸n de requisitos en el m茅todo de desarrollo UN-M茅todo y el an谩lisis de la problem谩tica de la organizaci贸n y la valoraci贸n del impacto que la aplicaci贸n de software tiene sobre ella, la realiza el analista subjetivamente. Por ello, en este art铆culo se propone un m茅todo para determinar la participaci贸n de los casos de uso en la soluci贸n de los problemas de una organizaci贸n, de modo que se aplique la relaci贸n de trazabilidad que se puede establecer entre los artefactos que se afectan al introducir una soluci贸n software a la organizaci贸n, con el prop贸sito de que se realice una valoraci贸n m谩s objetiva de dicha aplicaci贸n de software.PALABRAS CLAVES: Educci贸n de requisitos, Valoraci贸n de soluciones, Casos de uso, Trazabilidad聽 ANALYTICAL SUMMARYOrganizations reach their goals and solve their problems by making decisions. According to Kepner-Tregoe methodology, goals and problems must be traced to the solution, in order to complete the most suitable solution. However, UN-Metodo elicitation requirement process does not have such relationship between problem analysis and solution assessment appliances; so, the analyst job involves subjectivity when a software solution is developed. For this reason, in this paper we propose a use cases performance in organizational problem solving method. Our main goal is allowing traceability relationship application to the appliances involved, in order to make a more-objective assessment of the solution.KEYWORDSRequirements elicitation, Solution assessment, Use cases, Traceabilit

    PARTICIPACI脫N DE LOS CASOS DE USO EN LA SOLUCI脫N DE LOS PROBLEMAS DE UNA ORGANIZACI脫N

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    RESUMEN ANAL脥TICOMediante las decisiones que toman, las organizaciones logran sus objetivos y superan los problemas que surgen. Seg煤n la metodolog铆a Kepner-Tregoe, se puede establecer una relaci贸n secuencial o de trazabilidad entre la definici贸n de una soluci贸n, sus problemas y sus objetivos, con el fin de encontrar la m谩s adecuada. Sin embargo, esta relaci贸n no se aplica al proceso de educci贸n de requisitos en el m茅todo de desarrollo UN-M茅todo y el an谩lisis de la problem谩tica de la organizaci贸n y la valoraci贸n del impacto que la aplicaci贸n de software tiene sobre ella, la realiza el analista subjetivamente. Por ello, en este art铆culo se propone un m茅todo para determinar la participaci贸n de los casos de uso en la soluci贸n de los problemas de una organizaci贸n, de modo que se aplique la relaci贸n de trazabilidad que se puede establecer entre los artefactos que se afectan al introducir una soluci贸n software a la organizaci贸n, con el prop贸sito de que se realice una valoraci贸n m谩s objetiva de dicha aplicaci贸n de software.PALABRAS CLAVES: Educci贸n de requisitos, Valoraci贸n de soluciones, Casos de uso, Trazabilidad聽 ANALYTICAL SUMMARYOrganizations reach their goals and solve their problems by making decisions. According to Kepner-Tregoe methodology, goals and problems must be traced to the solution, in order to complete the most suitable solution. However, UN-Metodo elicitation requirement process does not have such relationship between problem analysis and solution assessment appliances; so, the analyst job involves subjectivity when a software solution is developed. For this reason, in this paper we propose a use cases performance in organizational problem solving method. Our main goal is allowing traceability relationship application to the appliances involved, in order to make a more-objective assessment of the solution.KEYWORDSRequirements elicitation, Solution assessment, Use cases, Traceabilit

    Identifying dead features and their causes in product line models: an ontological approach

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    Feature Models (FMs) are a notation to represent differences and commonalities between products derived from a product line. However, product line modelers could unintentionally incorporate dead features in FMs. A dead feature is a type of defect, which implies that one or more features are not present in any product of the product line. Some authors have used ontologies in product lines, but they have not exploited ontology reasoning to identify and explain causes for defects in FMs in natural language. In this paper, we propose an ontology that represents FMs in OWL (Web Ontology Language). Then, we use SQWRL (Semantic Query-enhanced Web Rule Language) to identify dead features in a FM and identify and explain certain causes of this defect in natural language. Our preliminary empirical evaluation confirms the benefits of our approach

    Innovaciones en los procesos de ense帽anza y aprendizaje del 谩rea de ciencias sociales en el nivel de educaci贸n b谩sica primaria

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    El proyecto se define como propuesta de car谩cter conceptual y experimental para que los futuros licenciados orienten pedag贸gicamente su quehacer educativo mediante la apropiaci贸n de estrategias metodol贸gicas vivenciales que generan ambientes de interacci贸n y confianza que les posibiliten como gu铆as y acompa帽antes del proceso educativo escolar contribuir al desarrollo arm贸nico y simult谩neo del pensar, sentir y actuar de los ni帽os, como dimensiones fundamentales para su formaci贸n integral y su interacci贸n con el medio social, de acuerdo con sus necesidades, problemas e intereses

    A neurodegenerative disease landscape of rare mutations in Colombia due to founder effects.

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    Background: The Colombian population, as well as those in other Latin American regions, arose from a recent tri-continental admixture among Native Americans, Spanish invaders, and enslaved Africans, all of whom passed through a population bottleneck due to widespread infectious diseases that left small isolated local settlements. As a result, the current population reflects multiple founder effects derived from diverse ancestries. Methods: We characterized the role of admixture and founder effects on the origination of the mutational landscape that led to neurodegenerative disorders under these historical circumstances. Genomes from 900 Colombian individuals with Alzheimer's disease (AD) [n = 376], frontotemporal lobar degeneration-motor neuron disease continuum (FTLD-MND) [n = 197], early-onset dementia not otherwise specified (EOD) [n = 73], and healthy participants [n = 254] were analyzed. We examined their global and local ancestry proportions and screened this cohort for deleterious variants in disease-causing and risk-conferring genes. Results: We identified 21 pathogenic variants in AD-FTLD related genes, and PSEN1 harbored the majority (11 pathogenic variants). Variants were identified from all three continental ancestries. TREM2 heterozygous and homozygous variants were the most common among AD risk genes (102 carriers), a point of interest because the disease risk conferred by these variants differed according to ancestry. Several gene variants that have a known association with MND in European populations had FTLD phenotypes on a Native American haplotype. Consistent with founder effects, identity by descent among carriers of the same variant was frequent. Conclusions: Colombian demography with multiple mini-bottlenecks probably enhanced the detection of founder events and left a proportionally higher frequency of rare variants derived from the ancestral populations. These findings demonstrate the role of genomically defined ancestry in phenotypic disease expression, a phenotypic range of different rare mutations in the same gene, and further emphasize the importance of inclusiveness in genetic studies

    Organizational memory supporting the continue transformation of engineering curricula

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    We consider seven knowledge components that constitute the pillars for building a document-based organizational memory for engineering curriculum design: epistemology, pedagogy, Philosophy, universal knowledge, internal academic knowledge, external academic knowledge and extra-academic knowledge. We present domain ontology for guiding access to, and management and retrieval of knowledge and information stored in annotated documents. The curriculum oriented organizational memory supports the construction, evaluation and continuous evolution of engineering curricula. The integration of knowledge and information for continuous curricular transformation is illustrated with a case study of an informatics curriculum.Pages: 507-51

    Organizational Memory for Knowledge and Information Management in the Definition, Analysis and Design Phases of Civil Engineering Projects using an XML Model

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    An ontology of civil engineering services is created by combining knowledge of the phases of the life cycle of an engineering design product, the steps in the phases in an engineering service and the technical, technological, scientific, social, economic, organizational and legal aspects associated with an engineering service. The documents containing information and knowledge related to projects are tagged using ontological concepts. The annotated documents are stored in an XML-Database, and constitute an organizational memory that enables access to, and reuse of information and knowledge. A case study of an engineering service is used to illustrate the proposed approach to the construction of the organizational memory.Pages: 499-50

    De la integraci贸n de datos a la integraci贸n de servicios en los sistemas mediadores

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    Los sistemas mediador es han demostrado ser muy eficientes en la integraci贸n de informaci贸n. El sistema mediador PICSEL (Producci贸n de Inter faces de Conocimiento par a Sistemas En L铆nea) fue concebido inicialmente par a integrar fuentes de datos m煤ltiples y heterog茅neas. Dado el amplio desarrollo que tiene la Web y los cambios de paradigma que ella conlleva, se hace necesario extender la aplicaci贸n de los sistemas mediadores a la integraci贸n de ser vicios. Este cambio, lleva a adaptar los sistemas existentes a este nuevo contexto aplicativo. Se trata principalmente de adaptar el contenido de la ontolog铆a y de transformar las vistas que describen el contenido de las fuentes en vistas que describan las funcionalidades de los ser vicios ejecutables. En este art铆culo se presenta, desde el punto de vista del mediador PICSEL, las caracter铆sticas de este cambio de paradigma y sus implicaciones

    An Ontological Rule-Based Approach for Analyzing Dead and False Optional Features in Feature Models

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    International audienceProduct lines engineering uses Feature Models (FMs) as a notation to represent variability and commonality in families of products. One of the well-known issues of FMs is that they may have defects that can drastically diminish the benefits of the product line approach. Two of these defects are dead features and false optional features. Dead features are features absent from any valid product of the product line. False optional features are features declared as optional but actually required in all valid products. These two types of defects are undesirable in FMs because they give a wrong idea of domain that represents the FM. Several techniques documented in literature help to identify dead and false optional features. However, only few of them tackle the problem of identifying the causes of these defects. Besides, the explanations they provide are cumbersome and hard to understand by humans. In this paper, we propose an ontological rule-based approach to (i) identify dead and false optional features in FMs; (ii) identify certain causes of these defects; and (iii) explain these causes in natural language. Moreover, we propose a collection of rules that (i) formalize some cases that produce dead and false optional features; (ii) find the FM's elements that causes each defect; and (iii) explain why a feature is dead or false optional. This collection of rules helps modelers to correct the defects found in FMs and helps prevent the occurrence of new ones. We illustrate our approach in a reference model from literature. A preliminary empirical evaluation of our approach, using a benchmark composed of 31 FMs of sizes up to 150 features, shows that the proposal is effective, accurate and scalable
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