130,723 research outputs found

    A Constraint-Based Approach for Managing Declarative Temporal Business Process Models

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    There is an increasing interest in aligning information systems in a process-oriented way. As an alternative of the traditional imperative models which tend to be too rigid, processes may be specified in a declarative (e.g., constraint-based) way. Nonetheless, in general, offering operational support (e.g., generating possible execution traces) to declarative business process models entails more complexity when compared to imperative modeling alternatives. Such support becomes even more complex in many real scenarios where the management of complex temporal relations between the process activities is crucial (i.e., the temporal perspective should be managed). Despite the needs for enabling process flexibility and dealing with temporal constraints, most existing tools are unable to manage both. In a previous work, we then proposed TConDec-R, which is a constraint-based process modeling language which allows for the specification of temporal constraints. However, TConDec-R revealed a number of limitations that are overcome with the present work. More specifically, this paper significantly extends and improves our previous work by (1) defining TConDec-R process models based on high-level elements from the constraint programming paradigm, (2) introducing a constraint-based tool with a client/server architecture for providing operational support to TConDec-R process models, and (3) performing an empirical evaluation of the approach

    Process Oriented Collaboration in Grid-Environments: A Case Study in the Construction Industry

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    This paper addresses the process-oriented collaboration based on a grid-based platform for the support of virtual organizations (VO), illustrated on the example of the construction industry. Distributed, organizational and IT-structures of teams involved in vintage complex projects cannot be managed with conventional methods in an appropriate manner. Both using a grid platform and grid-based services, in conjunction with semantic methods for consistency saving and goal-oriented process management can increase the efficiency of collaboration processes in large-scale projects. A hybrid grid- and web service-based architecture for the next generation of VO service and a gateway solution was developed integrating the process-oriented perspective and prototypically implemented. The problem, as well as the solution on the basis of the hybrid system architecture combing the benefits of the cutting-edge technologies, the methodical concept for modeling VO processes and their automated execution on a grid platform are discussed in detail

    Decision-enabled dynamic process management for networked enterprises

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    In todays networked economy face numerous information management challenges, both from a process management perspective as well as a decision support perspective. While there have been significant relevant advances in the areas of business process management as well as decision sciences, several open research issues exist. In this paper, we highlight the following key challenges. First, current process modeling and management techniques lack in providing a seamless integration of decision models and tools in existing business processes, which is critical to achieve organizational objectives. Second, given the dynamic nature of business processes in networked enterprises, process management approaches that enable organizations to react to business process changes in an agile manner are required. Third, current state-of-the-art decision model management techniques are not particularly amenable to distributed settings in networked enterprises, which limits the sharing and reuse of models in different contexts, including their utility within managing business processes. In this paper, we present a framework for decision-enabled dynamic process management that addresses these challenges. The framework builds on computational formalisms, including the structured modeling paradigm for representing decision models, and hierarchical task networks from the artificial intelligence (AI) planning area for process modeling. Within the framework, interleaved process planning (modeling), execution and monitoring for dynamic process management throughout the process lifecycle is proposed. A service-oriented architecture combined with advances from the semantic Web field for model management support within business processes is proposed

    Automated Modeling with Abstraction for Enterprise Architecture (AMA4EA):Business Process Model Automation in an Industry 4.0 Laboratory

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    The transformation towards the Industry 4.0 paradigm requires companies to manage large amounts of data. This poses serious challenges with regard to how effectively to handle data and extract value from it. The state-of-the-art research of Enterprise Architecture (EA) provides limited knowledge on addressing this challenge. In this article, the Automated Modeling with Abstraction for Enterprise Architecture (AMA4EA) method is proposed and demonstrated. An abstraction hierarchy is introduced by AMA4EA to support companies to automatically abstract data from enterprise systems to concepts, then to automatically create an EA model. AMA4EA was demonstrated at an Industry 4.0 laboratory. The demonstration showed that AMA4EA could abstract detailed data from the Enterprise Resource Planning (ERP) system and Manufacturing Execution System (MES) to be relevant for a business process model that provided a useful and simplified visualization of production process data. The model communicated the detailed business data in an easily understandable way to stakeholders. AMA4EA is an innovative and novel method that contributes new knowledge to EA research. The demonstration provides sufficient evidence that AMA4EA is useful and applicable in the Industry 4.0 environment

    Correctness Issues on MARTE/CCSL constraints

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    International audienceThe UML Profile for Modeling and Analysis of Real-Time and Embedded systems promises a general modeling framework to design and analyze systems. Lots of works have been published on the modeling capabilities offered by MARTE, much less on available verification techniques. The Clock Constraint Specification Language (CCSL), first introduced as a companion language for MARTE, was devised to offer a formal support to conduct causal and temporal analysis on MARTE models.This work relies on a state-based semantics for CCSL to establish correctness properties on MARTE/CCSL specifications. We propose and compare two different techniques to build the state-space of a specification. One is an extension of some previous work and is based on extended finite state machines. It relies on integer linear programming to solve the constraints and reduce the state-space. The other one is based on an intentional representation and uses pure Boolean abstractions but offers no guarantee to terminate when the specification is not safe.The approach is illustrated on one simple example where the architecture plays an important role. We describe a process where the logical description of the application is progressively refined to take into account the execution platform through allocation

    UML Assisted Visual Debugging for Distributed Systems

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    The DOD is developing a Joint Battlespace Infosphere, linking a large number of data sources and user applications. To assist in this process, debugging and analysis tools are required. Software debugging is an extremely difficult cognitive process requiring comprehension of the overall application behavior, along with detailed understanding of specific application components. This is further complicated with distributed systems by the addition of other programs, their large size and synchronization issues. Typical debuggers provide inadequate support for this process, focusing primarily on the details accessible through source code. To overcome this deficiency, this research links the dynamic program execution state to a Unified Modeling Language (UML) class diagram that is reverse-engineered from data accessed within the Java Platform Debug Architecture. This research uses focus + context, graph layout, and color encoding techniques to enhance the standard UML diagram. These techniques organize and present objects and events in a manner that facilitates analysis of system behavior. High-level abstractions commonly used in system design support debugging while maintaining access to low-level details with an interactive display. The user is also able to monitor the control flow through highlighting of the relevant object and method in the display

    Models and systems for managing sensor and crowd-oriented processes

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    Business process modeling refers to the design of business process models, using business processes languages, to orchestrate the work executed by employees, their interaction with external entities, and work items that are necessary to achieve a predefined goal. Model-driven development allows people, generally called modelers, to design also sophisticated application logic using high-level abstractions. Process modeling is typically connected with business, hence, existing process languages focus principally on the support and orchestration of activities executed by employees, or by external entities like web services. However, there is a wide range of other application logics that are process-driven and that can benefit from high-level abstractions to model low-level details. Our initial research focuses on distributed UIs, which are a distributed type of actors, and then particularly concentrated on Wireless Sensor Networks (WSNs) and crowdsourcing, which are distributed and also autonomous types of actors (they can execute a part of an application logic in an autonomous and isolated fashion). Developing applications in these areas requires a deep knowledge of the field and a non-trivial programming effort; domain experts have to code an orchestrate the logic executed by these actors. Since these applications are highly process-driven, domain experts could take advantage of high-level, process-oriented modeling conventions to design the internal logic of these kinds of applications. However, the intrinsic complexity of these domains and the current state of the art of modeling paradigms make the design and execution of processes for these new actors challenging. In this dissertation we analyze, design, and present modeling formalism and systems for managing processes in these contexts. We tackle the challenges of the three areas with an approach that analyzes and extends existing process modeling languages, to enable the design of the processes, and with an architecture, similar for the three focuses, to support the development and execution of processes. Starting from our initial work on the orchestration of distributed UIs, for which we present a modeling language with a set of modeling constructs specific for the UIs, we then present our contribution to WSNs and crowdsourcing domains, which are: a modeling convention for the development of WSN applications, with high-level modeling constructs that abstract the low-level details of the networks; and a modeling paradigm to design processes that are partially executed by a crowd of people. These languages are all equipped with prototypes that contain a modeling tool to design processes and a runtime environment to support the execution. The impact of this work is not only to the domains we focused on but also to the business process domain as we demonstrate how a process modeling is a flexible and suitable formalism to design processes with very diverging, domain-specific requirements

    Domain Objects and Microservices for Systems Development: a roadmap

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    This paper discusses a roadmap to investigate Domain Objects being an adequate formalism to capture the peculiarity of microservice architecture, and to support Software development since the early stages. It provides a survey of both Microservices and Domain Objects, and it discusses plans and reflections on how to investigate whether a modeling approach suited to adaptable service-based components can also be applied with success to the microservice scenario
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