Service-Oriented Architecture Modeling: Bridging the Gap between Structure and Behavior

International audienceModel-driven development of large-scale software systems is highly likely to produce models that describe the systems from many diverse perspectives using a variety of modeling languages. Checking and maintaining consistency of information captured in such multi-modeling environments is known to be challenging. In this paper we describe an approach to systematically synchronize multi-models. The approach specifically addresses the problem of synchronizing business processes and domain models in a Service-oriented Architecture development environment. In the approach, the human effort required to synchronize independently developed models is supplemented with significant automated support. This process is used to identify concept divergences, that is, a concept in one model which cannot be matched with concepts in the other model. We automate the propagation of divergence resolution decisions across the conflicting models. We illustrate the approach using models developed for a Car Crash Crisis Management System (CCCMS), a case study problem used to assess Aspect-oriented Modeling approaches

A wide-spectrum approach to modelling and analysis of organisation for machine-assisted decision-making

This paper describes a modeling approach that helps to represent necessary aspects of complex socio-technical systems, such as organization, in an integrated form and provides a simulation technique for analyzing these organisations. An actor-based language is introduced and compared to a conventional simulation approach (Stock-and-Flow) by simulating aspects of a software services company

Complexity Levels of Representing Dynamics in EA Planning

Abstract. Enterprise Architecture (EA) models provide information on the fundamental as-is structure of a company or governmental agency and thus serve as an informational basis for informed decisions in enterprise transformation projects. At the same time EA models provide a means to develop and visualize to-be states in the EA planning process. Results of a literature review and implications from industry practices show that existing EA planning processes do not sufficiently cover dynamic aspects in EA planning. This paper conceptualizes seven levels of complexity for structuring EA planning dynamics by a system of interrelated as-is and to-be models. While level 1 represents the lowest complexity with non-connected as-is and to-be models, level 7 covers a multiperiod planning process also taking plan deviations during transformation phases into account. Based on these complexity levels, a multi-stage evolution of EA planning processes is proposed which develops non-dynamic as-is EA modeling into full-scale EA planning

Business process simulation revisited

Computer simulation attempts to "mimic" real-life or hypothetical behavior on a computer to see how processes or systems can be improved and to predict their performance under different circumstances. Simulation has been successfully applied in many disciplines and is considered to be a relevant and highly applicable tool in Business Process Management (BPM). Unfortunately, in reality the use of simulation is limited. Few organizations actively use simulation. Even organizations that purchase simulation software (stand-alone or embedded in some BPM suite), typically fail to use it continuously over an extended period. This keynote paper highlights some of the problems causing the limited adoption of simulation. For example, simulation models tend to oversimplify the modeling of people working part-time on a process. Also simulation studies typically focus on the steady-state behavior of business processes while managers are more interested in short-term results (a "fast forward button" into the future) for operational decision making. This paper will point out innovative simulation approaches leveraging on recent breakthroughs in process mining

Trends in Enterprise Architecture Research 5th International Workshop, TEAR 2010, Delft, The Netherlands, November 12, 2010. Proceedings

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Knowledge work and communication challenges in networked enterprises

A modern enterprise is a heavily wired and networked socio-technical system where multiple components play in symphony to yield a competitive position in the ear of digital economy. While the underling communication and interaction systems facilitate knowledge workers to carry out the enterprise mission and furnish service to the society, there are many other aspects that rather have adverse effects on the productivity of an enterprise and interruption of knowledge workers, which pose a serious scientific challenge. In this paper, we briefly discuss certain challenging aspects of knowledge work and communication processes in networked enterprises that require more profound scientific attention in networked enterprises. This paper introduces the problem, identifies some specific research challenges, and then briefly discusses emerging research that addresses some of these challenges.Multi Actor SystemsTechnology, Policy and Managemen