151 research outputs found

    Contribution à la gestion de l'évolution des processus métiers

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    La gestion de l'évolution des processus métier exige une compréhension approfondie des cause des changements, de leurs niveaux d'application ainsi que de leurs impacts sur le reste du système. Dans cette thèse, nous proposons une approche de gestion et de contrôle de l'éolution des processus métier permettant d'analyser ces changements et de comprendre leurs impacts. Cela assistera les concepteurs et les chargés de l'évolution des processus métier à établir une évaluation a priori de l'impact pour réduire les risques et les coûts liés à ces changements et d'améliorer le service et la qualité des processus métier. Ce travail consiste à proposer un ensemble de contributions permettant une vérification de la cohérence et de la conformité des modèles de processus métier après chaque changement, mais aussi d'établir une éaluation a priori de l'impact structurel et qualificatif des modifications. Les différentes approches proposées sont en cours d'expérimentation et de validation à travers le développement d'une plate-forme basée sur l'environnement EclipseThe evolution management of the business processes requires an exhaustive understanding of the change. An evolution engineer needs to understand reasons of a change, its application levels, and subsequently its impact on the whole system. In this thesis, we propose an approach for an a priori change impact analysis, to better control the business process evolution. This may help the business experts and the process designers to evaluate change impact in order to reduce the associated risks and estimate the related costs. It may also help to improve the service and quality of the business processes. This work contributes an eventual improvement, in regard, to verify the coherence and the compliance of the business process models, after each change. It leads to evaluate an a priori change impact analysis in structural and qualitatie aspects. The multiple-perspectives of the proposed approach have been reviewed experimentally. The validation of the approach is evaluated by exteding the Eclipse Development Environment, with the help of a set of plug-ins, as a prototype plate-form.DUNKERQUE-SCD-Bib.electronique (591839901) / SudocSudocFranceF

    SOA-Based Aeronautical Service Integration

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    Space scienc

    Dagstuhl Reports : Volume 1, Issue 2, February 2011

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    Online Privacy: Towards Informational Self-Determination on the Internet (Dagstuhl Perspectives Workshop 11061) : Simone Fischer-Hübner, Chris Hoofnagle, Kai Rannenberg, Michael Waidner, Ioannis Krontiris and Michael Marhöfer Self-Repairing Programs (Dagstuhl Seminar 11062) : Mauro Pezzé, Martin C. Rinard, Westley Weimer and Andreas Zeller Theory and Applications of Graph Searching Problems (Dagstuhl Seminar 11071) : Fedor V. Fomin, Pierre Fraigniaud, Stephan Kreutzer and Dimitrios M. Thilikos Combinatorial and Algorithmic Aspects of Sequence Processing (Dagstuhl Seminar 11081) : Maxime Crochemore, Lila Kari, Mehryar Mohri and Dirk Nowotka Packing and Scheduling Algorithms for Information and Communication Services (Dagstuhl Seminar 11091) Klaus Jansen, Claire Mathieu, Hadas Shachnai and Neal E. Youn

    Are We Building on the Rock? On the Importance of Data Preprocessing for Code Summarization

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    Code summarization, the task of generating useful comments given the code, has long been of interest. Most of the existing code summarization models are trained and validated on widely-used code comment benchmark datasets. However, little is known about the quality of the benchmark datasets built from real-world projects. Are the benchmark datasets as good as expected? To bridge the gap, we conduct a systematic research to assess and improve the quality of four benchmark datasets widely used for code summarization tasks. First, we propose an automated code-comment cleaning tool that can accurately detect noisy data caused by inappropriate data preprocessing operations from existing benchmark datasets. Then, we apply the tool to further assess the data quality of the four benchmark datasets, based on the detected noises. Finally, we conduct comparative experiments to investigate the impact of noisy data on the performance of code summarization models. The results show that these data preprocessing noises widely exist in all four benchmark datasets, and removing these noisy data leads to a significant improvement on the performance of code summarization. We believe that the findings and insights will enable a better understanding of data quality in code summarization tasks, and pave the way for relevant research and practice

    Services State of Play - Compliance Testing and Interoperability Checking

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    The document contains an inventory of existing solutions for compliance testing and interoperability checking of services, the assumption being that the services are web services. Even if the emphasis is on geographical information and therefore on Geographical Information Systems, the document describes applicable solutions outside the geographical Information System domain.JRC.H.6-Spatial data infrastructure

    Combining SOA and BPM Technologies for Cross-System Process Automation

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    This paper summarizes the results of an industry case study that introduced a cross-system business process automation solution based on a combination of SOA and BPM standard technologies (i.e., BPMN, BPEL, WSDL). Besides discussing major weaknesses of the existing, custom-built, solution and comparing them against experiences with the developed prototype, the paper presents a course of action for transforming the current solution into the proposed solution. This includes a general approach, consisting of four distinct steps, as well as specific action items that are to be performed for every step. The discussion also covers language and tool support and challenges arising from the transformation

    CHOReOS perspective on the Future Internet and initial conceptual model (D1.2)

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    The D1.2 deliverable outlines the CHOReOS perspective on the Future Internet and its conceptualization. In particular, the deliverable focuses on: - Definition of the Future Internet and related Future Internet of Services and (Smart) Things, as considered within CHOReOS, further stressing the many dimensions underpinning the Ultra-Large Scale of the Future Internet; - Definition of the initial conceptual model of the CHOReOS Service-Oriented Architecture (SOA) for the Future Internet, identifying the impact of the ULS dimensions upon the traditional SOA paradigms and associated infrastructure

    A Collaboration Model for Community-Based Software Development with Social Machines

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    Crowdsourcing is generally used for tasks with minimal coordination, providing limited support for dynamic reconfiguration. Modern systems, exemplified by social ma chines, are subject to continual flux in both the client and development communities and their needs. To support crowdsourcing of open-ended development, systems must dynamically integrate human creativity with machine support. While workflows can be u sed to handle structured, predictable processes, they are less suitable for social machine development and its attendant uncertainty. We present models and techniques for coordination of human workers in crowdsourced software development environments. We combine the Social Compute Unit—a model of ad-hoc human worker teams—with versatile coordination protocols expressed in the Lightweight Social Calculus. This allows us to combine coordination and quality constraints with dynamic assessments of end-user desires, dynamically discovering and applying development protocols
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