基于样本程序的领域开发平台的研究与实践

为了解决行业应用软件开发存在的问题,在全面分析研究行业应用软件和大量实践的基础上,提出了与组件业务建模(CBM)不同的组装业务建模(ABM)和样本程序,并设计了一个企业级的基于样本程序的领域开发平台来支持行业应用的开发和提升行业应用的开发效率与效果。平台通过组装业务建模(ABM)与组件业务建模(CBM)来驱动行业应用软件的开发,并通过样本程序来对行业应用软件的开发工作进行实际指导。实验结果表明了该平台能够有效地提高软件复用率,极大地缩短行业应用软件的开发周期,减少信息系统的成本支出。

Participatory design and business modeling

En este proyecto miraremos como los campos de Diseño Participativo de las tecnologías de la información (DP, Participatory IT Design) y el diseño empresarial de modelos de negocio interactúan entre sí. Exploraremos el hueco que existe en los asuntos que aborda un proyecto de DP señalado por Kyng (2010). DP es una forma de enfocar el diseño para diseñar sistemas informáticos que tiene su propia ideología, haciendo mucho hincapié en la participación de los usuarios en el proceso. Esta ideología propia de DP da paso a un conjunto de métodos y herramientas para diseñar. DP tiene sus orígenes en Escandinavia en la década de los setenta cuando cambios de progreso social de la sociedad se introdujeron en el lugar de trabajo. Ya hay algunos investigadores del campo de DP que empiezan a estudiar este hueco señalado por Kyng. Un modelo de negocios es la forma en que un negocio crea, entrega y captura valor. En las últimas décadas las empresas informáticas han cambiado su modelo de negocios, transformándose en una oferta de servicios informáticos mayoritariamente. El mundo empresarial ya conoce los beneficios de las metodologías de diseño orientadas al usuario, sin embargo no acaban de ser adoptadas por las empresas informáticas. En el proyecto buscamos responder a las preguntas que surgen al juntar estas dos áreas de estudio. ¿Cómo interpreta la comunidad de DP el mundo empresarial? ¿La teoría empresarial como trata la metodología de diseño orientado al usuario? ¿Cómo afecta en una compañía real su política de usuario a su modelo de negocio y que técnicas utilizan para involucrar al usuario? ¿Qué intereses comunes y opuestos existen entre DP y el mundo empresarial? ¿Cuál es el futuro de DP en el mundo empresarial? En cuanto a la metodología del proyecto realice un estudio de la literatura de los campos de DP y el mundo empresarial usando fuentes recomendadas por expertos de cada área así como trabajos encontrados por mi propia cuenta que eran relevantes al tema tratado. Además realice un estudio de compañías desarrolladoras de software locales a Copenhague. Mediante una serie de visitas y entrevistas con esas compañías obtuve información del modelo de negocio y proceso de desarrollo de software de las mismas. También dialogamos en cuanto a su visión de DP y metodologías de diseño orientado al usuario y como se podrían beneficiar de ellas. Durante el desarrollo del proyecto he encontrado que DP y el mundo empresarial tienen dos visiones muy diferentes. Mientras uno busca obtener el máximo beneficio el otro busca apoderar a los usuarios en su área de trabajo. Aunque al igual que DP las empresas necesitan obtener información acerca de los usuario como sus necesidades, gustos, etc. Está claro que el software producido para el mundo empresarial tiene mucho espacio para mejorar ya que suele venir con manuales de instrucciones extensos y es necesario un entrenamiento previo para su utilización. Un problema importante de la introducción de DP en las empresas es la falta de predisposición de los usuarios en colaborar en el proceso de desarrollo ya que no hay demasiada tendencia a usuarios a dar feedback. El trabajo de investigacion de Timpka y Vimarlund (1998) Participatory Design In Economic Terms: A Theoretical Discussion llega a la conclusión de que DP es económicamente favorable para los desarrolladores. Pero omite muchos factores críticos de la economía de una empresa. En cuanto al futuro de DP en el mundo empresarial, DP tiene que adaptarse a las compañías desarrolladoras de software. A sus necesidades y teniendo en cuenta sus límites de recursos. Pero hay ciertos aspectos que deben ser abordados. El primer aspecto es el uso de recursos en las técnicas de DP, ya que utilizan demasiados. Otro aspecto que debería abordar es el uso de las nuevas tecnologías de comunicación y redes sociales, ya que apenas se han utilizado en DP. Mientras que otras áreas de estudio han hecho uso de estas nuevas tecnologías y se han revolucionado DP no ha sido capaz de integrarlas en sus técnicas. Por último en el proyecto realizo una comparativa del actual modelo de negocios y proceso de desarrollo de software de la compañía Forecast.it. En esta comparativa miro como cambiaria el negocio en el caso de que se produjeran cambios en ella al introducir la ideología de DP. Donde más se notan los cambios seria en su esquema de desarrollo de software ya que habría que hacer hueco para nuevos factores y pasos.

An Approach to Representing the Process of Information Business Modeling

The compact and visualized documenting of information business modeling is a major prerequisite for comprehending its basic concepts, as well as for its effective application and improvement. The documenting of this process is related to its modeling. Thus, the process of information business modeling can be represented by its own tools. Being based on this thesis, the authors suggest an approach to representing the process of information business modeling. A profile for its documenting has been developed for the purpose.

Business Modeling of the Application Architecture of the Bulgarian Folklore Artery

In an attempt to answer the need of wider accessibility and popularization of the treasury of Bulgarian folklore, a team from the Institute of Mathematics and Informatics at the Bulgarian Academy of Sciences has planned to develop the Bulgarian folklore artery within the national project ―Knowledge Technologies for Creation of Digital Presentation and Significant Repositories of Folklore Heritage‖. This paper presents the process of business modeling of the application architecture of the Bulgarian folklore artery, which aids requirements analysis, application design and its software implementation. The folklore domain process model is made in the context of the target social applications—e-learning, virtual expositions of folklore artifacts, research, news, cultural/ethno-tourism, etc. The basic processes are analyzed and modeled and some inferences are made for the use cases and requirements specification of the Bulgarian folklore artery application. As a conclusion the application architecture of the Bulgarian folklore artery is presented.

CASCADE: An Agent Based Framework For Modeling The Dynamics Of Smart Electricity Systems

The Complex Adaptive Systems, Cognitive Agents and Distributed Energy (CASCADE) project is developing a framework based on Agent Based Modelling (ABM). The CASCADE Framework can be used both to gain policy and industry relevant insights into the smart grid concept itself and as a platform to design and test distributed ICT solutions for smart grid based business entities. ABM is used to capture the behaviors of diff erent social, economic and technical actors, which may be defi ned at various levels of abstraction. It is applied to understanding their interactions and can be adapted to include learning processes and emergent patterns. CASCADE models ‘prosumer’ agents (i.e., producers and/or consumers of energy) and ‘aggregator’ agents (e.g., traders of energy in both wholesale and retail markets) at various scales, from large generators and Energy Service Companies down to individual people and devices. The CASCADE Framework is formed of three main subdivisions that link models of electricity supply and demand, the electricity market and power fl ow. It can also model the variability of renewable energy generation caused by the weather, which is an important issue for grid balancing and the profi tability of energy suppliers. The development of CASCADE has already yielded some interesting early fi ndings, demonstrating that it is possible for a mediating agent (aggregator) to achieve stable demandfl attening across groups of domestic households fi tted with smart energy control and communication devices, where direct wholesale price signals had previously been found to produce characteristic complex system instability. In another example, it has demonstrated how large changes in supply mix can be caused even by small changes in demand profi le. Ongoing and planned refi nements to the Framework will support investigation of demand response at various scales, the integration of the power sector with transport and heat sectors, novel technology adoption and diffusion work, evolution of new smart grid business models, and complex power grid engineering and market interactions.

Pattern-based analysis of EAI languages : the case of the business modelling language

Enterprise Application Integration (EAI) is a challenging area that is attracting growing attention from the software industry and the research community. A landscape of languages and techniques for EAI has emerged and is continuously being enriched with new proposals from different software vendors and coalitions. However, little or no effort has been dedicated to systematically evaluate and compare these languages and techniques. The work reported in this paper is a first step in this direction. It presents an in-depth analysis of a language, namely the Business Modeling Language, specifically developed for EAI. The framework used for this analysis is based on a number of workflow and communication patterns. This framework provides a basis for evaluating the advantages and drawbacks of EAI languages with respect to recurrent problems and situations.

Computational modeling techniques for reliability of electronic components on printed circuit boards

This paper describes modeling technology and its use in providing data governing the assembly and subsequent reliability of electronic chip components on printed circuit boards (PCBs). Products, such as mobile phones, camcorders, intelligent displays, etc., are changing at a tremendous rate where newer technologies are being applied to satisfy the demands for smaller products with increased functionality. At ever decreasing dimensions, and increasing number of input/output connections, the design of these components, in terms of dimensions and materials used, is playing a key role in determining the reliability of the final assembly. Multiphysics modeling techniques are being adopted to predict a range of interacting physics-based phenomena associated with the manufacturing process. For example, heat transfer, solidification, marangoni fluid flow, void movement, and thermal-stress. The modeling techniques used are based on finite volume methods that are conservative and take advantage of being able to represent the physical domain using an unstructured mesh. These techniques are also used to provide data on thermal induced fatigue which is then mapped into product lifetime predictions.

Parameter estimation and equation formulation in Business Dynamics

System Dynamics enables modelling and simulation of highly non-linear feedback systems to predict future system behaviour. Parameter estimation and equation formulation are techniques in System Dynamics, used to retrieve the values of parameters or the equations for ?ows and/or variables. These techniques are crucial for the annotations and thereafter the simulation. This paper critically examines existing and well established approaches in parameter estimation and equation formulation along with their limitations, identifying performance gaps as well as providing directions for potential future research.

Calculating the application criticality and business risk from technology obsolescence

The problem of technology obsolescence in information intensive businesses (software and hardware no longer being supported and replaced by improved and different solutions) and a cost constrained market can severely increase costs and operational, and ultimately reputation risk. Although many businesses recognise technological obsolescence, the pervasive nature of technology often means they have little information to identify the risk and location of pending obsolescence and little money to apply to the solution. This paper presents a low cost structured method to identify obsolete software and the risk of their obsolescence where the structure of a business and its supporting IT resources can be captured, modelled, analysed and the risk to the business of technology obsolescence identified to enable remedial action using qualified obsolescence information. The technique is based on a structured modelling approach using enterprise architecture models and a heatmap algorithm to highlight high risk obsolescent elements. The method has been tested and applied in practice in three consulting studies carried out by Capgemini involving four UK police forces. However the generic technique could be applied to any industry based on plans to improve it using ontology framework methods. This paper contains details of enterprise architecture meta-models and related modelling.

Advanced Business Simulations-Incorporating business and process execution data

Key Performance Indicators (KPIs) and their predictions are widely used by the enterprises for informed decision making. Nevertheless , a very important factor, which is generally overlooked, is that the top level strategic KPIs are actually driven by the operational level business processes. These two domains are, however, mostly segregated and analysed in silos with different Business Intelligence solutions. In this paper, we are proposing an approach for advanced Business Simulations, which converges the two domains by utilising process execution & business data, and concepts from Business Dynamics (BD) and Business Ontologies, to promote better system understanding and detailed KPI predictions. Our approach incorporates the automated creation of Causal Loop Diagrams, thus empowering the analyst to critically examine the complex dependencies hidden in the massive amounts of available enterprise data. We have further evaluated our proposed approach in the context of a retail use-case that involved verification of the automatically generated causal models by a domain expert.

A hybrid simulation framework to assess the impact of renewable generators on a distribution network

With an increasing number of small-scale renewable generator installations, distribution network planners are faced with new technical challenges (intermittent load flows, network imbalances…). Then again, these decentralized generators (DGs) present opportunities regarding savings on network infrastructure if installed at strategic locations. How can we consider both of these aspects when building decision tools for planning future distribution networks? This paper presents a simulation framework which combines two modeling techniques: agent-based modeling (ABM) and particle swarm optimization (PSO). ABM is used to represent the different system units of the network accurately and dynamically, simulating over short time-periods. PSO is then used to find the most economical configuration of DGs over longer periods of time. The infrastructure of the framework is introduced, presenting the two modeling techniques and their integration. A case study of Townsville, Australia, is then used to illustrate the platform implementation and the outputs of a simulation.

Tutorial on NK model

NK model, proposed by Kauffman (1993), is a strong simulation framework to study competing dynamics. It has been applied in some social science fields, for instance, organization science. However, like many other simulation methods, NK model has not received much attention from Management Information Systems (MIS) discipline. This tutorial, thus, is trying to introduce NK model in a simple way and encourage related studies. To demonstrate how NK model works, this tutorial reproduces several Levinthal’s (1997) experiments. Besides, this tutorial attempts to make clear the relevance between NK model and agent-based modeling (ABM). The relevance can be a theoretical basis to further develop NK model framework for other research scenarios. For example, this tutorial provides an NK model solution to study IT value cocreation process by extending network structure and agent interactions.

Modelado basado en agentes: una herramienta para complementar el análisis de fenómenos sociales

Este estudio busca mostrar la utilidad del modelado basado en agentes (MbA) para estudiar diferentes fenómenos sociales. Dicha herramienta economiza tiempo y recursos, permitiendo analizar muchas variables para posteriormente seleccionar las más significativas y proseguir así con la investigación. Lo anterior se ilustra con un modelo que analiza el tiempo requerido para encontrar y atender enfermos según sea su tratamiento: domiciliario u hospitalario, si el personal puede compartir o no información sobre localización de enfermos y si estos residen densamente o no. Los resultados revelan que compartir información acorta significativamente el tiempo sólo para tratamientos hospitalarios y que la densidad no tiene impacto. Concluimos que MbA tiene grandes ventajas para el diseño de investigaciones sociales y asiste a la toma de decisiones en contextos profesionales.

A micro-level simulation for the prediction of intention and behaviour

In this contribution we aim at anchoring Agent-Based Modeling (ABM) simulations in actual models of human psychology. More specifically, we apply unidirectional ABM to social psychological models using low level agents (i.e., intra-individual) to examine whether they generate better predictions, in comparison to standard statistical approaches, concerning the intentions of performing a behavior and the behavior. Moreover, this contribution tests to what extent the predictive validity of models of attitude such as the Theory of Planned Behavior (TPB) or Model of Goal-directed Behavior (MGB) depends on the assumption that peoples’ decisions and actions are purely rational. Simulations were therefore run by considering different deviations from rationality of the agents with a trembling hand method. Two data sets concerning respectively the consumption of soft drinks and physical activity were used. Three key findings emerged from the simulations. First, compared to standard statistical approach the agent-based simulation generally improves the prediction of behavior from intention. Second, the improvement in prediction is inversely proportional to the complexity of the underlying theoretical model. Finally, the introduction of varying degrees of deviation from rationality in agents’ behavior can lead to an improvement in the goodness of fit of the simulations. By demonstrating the potential of ABM as a complementary perspective to evaluating social psychological models, this contribution underlines the necessity of better defining agents in terms of psychological processes before examining higher levels such as the interactions between individuals.