Resinas Arias de Reyna, Manuel

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Resinas Arias de Reyna

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Resinas, Manuel

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Universidad de Sevilla
Dpto. Lenguajes y Sistemas Informáticos, University of Seville
University of Sevilla
University of Seville, Spain
Universidad de Sevilla, Spain

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Mostrando 1 - 10 de 17
  • Artículo
    Reduciendo la complejidad gráfica de indicadores de procesos de negocio usando abstracción
    Estrada-Torres, Bedilia; Del Río Ortega, Adela; Resinas Arias de Reyna, Manuel; Ruiz Cortés, Antonio. Actas de las XI Jornadas de Ingeniería de Ciencia e Ingeniería de Servicios (JCIS 2015), 2015-09-15.
    La representación de indicadores de rendimiento sobre los procesos de negocio facilita la comprensión y definición en el cálculo y obtención de datos. Al incluir varios indicadores sobre un proceso puede ser necesario incorporar una gran cantidad de elementos de medición, generando un exceso de información y dificultando el análisis visual de los datos. En este artículo se presenta una ampliación de la notación gráfica Visual PPINOT, que permite modelar gráficamente indicadores de rendimiento sobre los procesos de negocio. A la notación se incorporan elementos de abstracción para facilitar la representación de patrones recurrentes en indicadores y para mejorar la legibilidad del diagrama del proceso. La implementación se valida utilizando el Modelo de Referencia SCOR. Se propone una clasificación de sus métricas y éstas se utilizan como referencia para estudiar las diferencias del modelado con la notación original en comparación con la notación ampliada.
  • Artículo
    Board Mining: Understanding the Use of Board-Based Collaborative Work Management Tools
    Bravo Llanos, Alfonso; Cabanillas, Cristina; Peña Siles, Joaquín; Resinas Arias de Reyna, Manuel. Actas de las XVIII Jornadas de Ingeniería de Ciencia e Ingeniería de Servicios (JCIS 2023), 2023-09-12.
    Board-Based Collaborative Work Management Tools (BBTs) like Trello and Microsoft Planner are widespread and massively used. Their use includes the management of projects, static information, or processes, which is achieved by assigning and moving cards through lists representing specific states, steps, or other classification criteria. BBTs are a flexible solution as boards, lists and cards can be changed by the user to adapt to new situations, e.g., changes in the processes or projects. However, understanding how a board is being used is challenging because what can be seen at a glance is a static snapshot of its current state. BBTs usually produce logs that capture all the activity that has taken place within the boards. In this paper, we leverage that data for mining BBT logs to understand how boards are used and evolve over time. The contribution is three-fold: (i) we characterize boards according to their components and the behavior detected based on their use during a specific time period; (ii) we detect structural changes in the boards, which may imply board redesigns, and visualize the evolution of the boards’ lists; and (iii) we define a set of metrics to assess relevant features of BBT boards, which enables the classification of the boards led by BBT design patterns. To validate the approach, we have conducted an empirical analysis with more than 60 real event logs and a use case.
  • Artículo
    On the Calculation of Process Performance Indicators
    Gutiérrez-Fernández, Antonio Manuel; Resinas Arias de Reyna, Manuel; Del Río Ortega, Adela; Ruiz Cortés, Antonio. Actas de las XI Jornadas de Ingeniería de Ciencia e Ingeniería de Servicios (JCIS 2015), 2015-09-15.
    Performance calculation is a key factor to match corporate goals between different partners in process execution. However, although, a number of standards protocols and languages have recently emerged to support business process services in the industry, there is no standard related to monitoring of performance indicators over processes in these systems. As a consequence, BPMS use propietary languages to define measures and calculate them over process execution. In this paper, we describe two different approaches to compute performance mea- sures on business process decoupled from specific Business Process Man- agement System (BPMS) with an existing BPMS-independent language (PPINOT) to define indicators over business processes. Finally, some optimization techniques are described to increase calculation performance based on computing aggregated measures incrementally.
  • Artículo
    Defining PPIs for Process Variants based on Change Patterns
    Estrada-Torres, Bedilia; Torres, Victoria; Del Río Ortega, Adela; Resinas Arias de Reyna, Manuel; Pelechano, Vicente; Ruiz Cortés, Antonio. Actas de las XII Jornadas de Ingeniería de Ciencia e Ingeniería de Servicios (JCIS 2016), 2016-07-13.
    Business Process (BP) families are made up of BP variants that share commonalities but also show differences to accommodate the specific necessities of different application contexts (i.e., country regulations, industrial domain, etc.). Even though there are modelling techniques to represent these families (e.g., C-EPC, Provop), there is no work aimed at the performance measurement of the different BP variants that conform the family. Process Performance Indicators (PPI) are commonly used to study and analyse the performance of business processes. However, the application of such indicators in BP families increases the modelling and management complexity of the whole family. To deal with this complexity, this work introduces a modelling solution for managing PPI variability based on the concepts of change patterns for process families (CP4PF). The proposed solution includes a set of patterns aimed at 1) reducing the number of operations required to specify PPIs and 2) ensuring PPI family correctness.
  • Artículo
    A Hybrid Reliability Metric for SLA Predictive Monitoring
    Comuzzi, Marco; Márquez-Chamorro, Alfonso E.; Resinas Arias de Reyna, Manuel. Actas de las XV Jornadas de Ingeniería de Ciencia e Ingeniería de Servicios (JCIS 2019), 2019-09-02.
    Modern SLA management includes SLA prediction based on data collected during service operations. Besides overall accuracy of a prediction model, decision makers should be able to measure the reliability of individual predictions before taking important decisions, such as whether to renegotiate an SLA. Measures of reliability of individual predictions provided by machine learning techniques tend to depend strictly on the technique chosen and to neglect the features of the system generating the data used to learn a model, i.e., the service provisioning landscape in this case. In this paper, we define a hybrid measure of reliability of an individual SLA prediction for classification models, which accounts for both the reliability of the chosen prediction technique, if available, and features capturing the variability of the service provisioning scenario. The metric is evaluated empirically using SLAs and event logs of a real world case. This paper was presented in ACM Symposium on Applied Computing (SAC) in April 2019 (GGS Class 2).
  • Artículo
    Modelling Citizen Letters for Public Services automation
    Gutiérrez-Fernández, Antonio Manuel; Massena, Fernanda; Cappelli, Claudia; Resinas Arias de Reyna, Manuel; Santoro, Flavia; Ruiz Cortés, Antonio. Actas de las XIII Jornadas de Ingeniería de Ciencia e Ingeniería de Servicios (JCIS 2017), 2017-07-19.
    The publication and, when it is possible, automation of public services on Internet provides advantages for citizens and governance. The former because promotes the transparency and control over governance actions and avoids unneeded presencial inquiries and the latter because information systems help to decrease human resources costs. A number of efforts have been performed by public administrations to provide precise service information online. As this service information is incrementally published, manual interaction to navigate and query these services becomes a difficult task that automated mechanisms could support based on service catalogs. In this paper we introduce an ongoing work proposing the use of ontologies to enable the automated processing -i.e. search and validation- of these service catalogs.
  • Artículo
    On the feasibility of measuring performance using PPINOT in CMMN
    Estrada-Torres, Bedilia; Del Río Ortega, Adela; Resinas Arias de Reyna, Manuel; Ruiz Cortés, Antonio. Actas de las XIII Jornadas de Ingeniería de Ciencia e Ingeniería de Servicios (JCIS 2017), 2017-07-19.
    Monitoring and measuring the performance of business processes are valuable tasks that facilitate the identification of possible improvement areas within the organisation according to the fulfillment of its strategic and business goals. A large number of techniques and tools have been developed with the aim of measuring process performance, but most of those processes are structured processes, usually defined using BPMN. The object of this paper is to identify and to analyse the feasibility of using an existing mechanism for the definition and modelling of process performance indicators (PPINOT) in a different context to structured BPMN processes; such as Cases, usually modelled using CMMN. This analysis is based on the similarities between CMMN and BPMN, and on characteristics and attributes used by PPINOT to get values from the process.
  • Artículo
    Towards Defining Data-Based Thresholds for Process-Related KPIs
    Del Río Ortega, Adela; García Rubio, Félix Óscar; Resinas Arias de Reyna, Manuel; Ruiz-González, Francisco; Ruiz Cortés, Antonio. Actas de las XI Jornadas de Ingeniería de Ciencia e Ingeniería de Servicios (JCIS 2015), 2015-09-15.
    The definition of process-related key performance indicators (KPIs) is a key part of performance measurement and one of the most challenging because of the lack of one best way to define businessapplicable KPIs that are both aligned with the strategic goals that the organisation wants to achieve and, at the same time, achievable in its context. It requires the identification of relevant threshold values able to distinguish different levels of process execution quality. However, obtaining these values remains an organization-specific task based on human abilities and no consensual technique exists. To overcome this problem, this paper introduces a methodology for threshold determination that considers not only the expert opinion but also data from real process executions.
  • Artículo
    Towards Assessing Open Source Communities’ Health using SOC Concepts
    Franco-Bedoya, Oscar; Oriol, Marc; Müller, Carlos; Marco, Jordi; Fernández Montes, Pablo; Resinas Arias de Reyna, Manuel; Franch, Xavier; Ruiz Cortés, Antonio. Actas de las XI Jornadas de Ingeniería de Ciencia e Ingeniería de Servicios (JCIS 2015), 2015-09-15.
    Quality of an open source software ecosystem (OSS ecosystem) is key for different ecosystem actors such as contributors or adopters. In fact, the consideration of several quality aspects(e.g., activeness, visibility, interrelatedness, etc.) as a whole may provide a measure of the healthiness of OSS ecosystems. The more health a OSS ecosystem is, the more and better contributors and adopters it will gather. Some research tools have been developed to gather specific quality information from open source community data sources. However, there exist no frameworks available that can be used to evaluate their quality as a whole in order to obtain the health of an OSS ecosystem. To assess the health of these ecosystems, we propose to adopt robust principles and methods from the Service Oriented Computing field.
  • Artículo
    Towards a general architecture for predictive monitoring of business processes
    Márquez-Chamorro, Alfonso E.; Resinas Arias de Reyna, Manuel; Ruiz Cortés, Antonio. Actas de las XII Jornadas de Ingeniería de Ciencia e Ingeniería de Servicios (JCIS 2016), 2016-07-13.
    Process mining allows the extraction of useful information from event logs and historical data of business processes. This information will improve the performance of these processes and is generally obtained after they have finished. Therefore, predictive monitoring of business process running instances is needed, in order to provide proactive and corrective actions to improve the process performance and mitigate the possible risks in real time. This monitoring allows the prediction of evaluation metrics for a runtime process. In this context, this work describes a general methodology for a business process monitoring system for the prediction of process performance indicators and their stages, such as, the processing and encoding of log events, the calculation of aggregated attributes or the application of a data mining algorithm.