13 research outputs found

    Towards a taxonomy of process quality characteristics for assessment

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    Previous assessment of process quality have focused on process capability (i.e. the ability of a process to meet its stated goals). This paper proposes a taxonomy of alternative process quality characteristics based on intrinsic and extrinsic quality attributes. The ultimate goal of this taxonomy is to provide a framework to conduct process assessments using different process quality aspects. Such a framework would considerably broaden process quality perspectives beyond the primary measure of process capability. It would also allow practitioners to identify and evaluate relevant quality characteristics for processes based on specific contexts and implications. For the process assessment model developers, it offers a list of process quality characteristics that could be used to develop relevant process measurement frameworks

    Towards a Meta-Model for Networked Enterprise

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    Contains fulltext : 161434.pdf (preprint version ) (Open Access

    A financial reporting ontology for market, exchange, and enterprise shared information systems

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    Enterprises operate in markets by building and fulfilling exchange relationships. However, up to date accounting information systems are organized in an enterprise-specific way. We introduce the Market Information perspective on top of the Exchange (Shared Ledger) and Enterprise-Specific perspectives. The latter, developed earlier, are enhanced and the interplay with the Market perspective elaborated. First, we analyze how are Market related concepts of Offering, Contract, Resource, and Social Interaction represented in UFO ontologies and other ontologies. Second, we propose a Market perspective, and included Exchange, and Enterprise perspective conceptual model of a Shared Information System for Financial Reporting in OntoUML language, and third, we analyze the International Accounting Standards Board (IASB) Conceptual Framework and Standards for Financial Reporting to uncover construct deficit and overload in these Standards and Framework for usage in Shared Information Systems

    Interoperability-related architectural problems and solutions in information systems. A scoping study

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    <i>[Context]</i> With the increasing industrial demands for seamless exchange of data and services among information systems, architectural solutions are a promising research direction which supports high levels of interoperability at early development stages. <i> [Objectives] </i>This research aims at identifying the architectural problems and before-release solutions of interoperability on its different levels in information systems, and exploring the interoperability metrics and research methods used to evaluate identified solutions. <i> [Methods]</i> We performed a scoping study in five digital libraries and descriptively analyzed the results of the selected studies. <i>[Results]</i> From the 22 studies included, we extracted a number of architectural interoperability problems on the technical, syntactical, semantic, and pragmatic levels. Many problems are caused by systems' heterogeneity on data representation, meaning or context. The identified solutions include standards, ontologies, wrappers, or mediators. Evaluation methods to validate solutions mostly included toy examples rather than empirical studies. <i>[Conclusions]</i> Progress has been made in the software architecture research area to solve interoperability problems. Nevertheless, more researches need to be spent on solutions for the higher levels of interoperability accompanied with proper empirical evaluation for their effectiveness and usefulness

    Embedding Interoperability in System of Systems: Definition and Characterization of Fundamental Requirements

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    Part 9: Collaborative Business Frameworks IIInternational audienceThe main objective of this communication is to discuss the engineering of a System of Systems (SoS), including interoperability concept. More precisely, the here presented research focuses on the fundamental requirements to consider in a System of Systems Engineering (SoSE) project and that have to be maintain during the entire life cycle of a SoS. First, the concept of interoperability, according to its definition and its characteristics, is presented. Then, the concept of SoS is presented in the same manner. This leads to introduce and present the possible links between System of Systems and interoperability. These links are (1) clarified and defined, (2) re-expressed to meet requirements’ definition and (3) not related to a given SoS in order to be generic

    Repairing alignments : striking the right nerve

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    Process Mining is concerned with the analysis, understanding and improvement of business processes. One of the most important branches of process mining is conformance checking, i.e. assessing to what extent a business process model conforms to observed business process execution data. Alignments are the de facto standard instrument to compute conformance statistics. Alignments map elements of an event log onto activities present in a business process model. However, computing them is a combinatorial problem and hence, extremely costly. In this paper we show how to compute an alignment for a given process model, using an existing alignment and an existing process model as a basis. We show that we are able to effectively repair the existing alignment by updating those parts that no longer fit the given process model. Thus, computation time decreases significantly. Moreover, we show that the potential loss of optimality is limited and stays within acceptable bounds

    Discovering social networks instantly: Moving process mining computations to the database and data entry time

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    Process mining aims to turn event data into insights and actions in order to improve processes. To improve process performance it is crucial to get insights into the way people work and collaborate. In this paper, we focus on discovering social networks from event data. To be able to deal with large data sets or with an environment which requires repetitive discoveries during the analysis, and still provide results instantly, we use an approach where most of the computation is moved to the database and things are precomputed at data entry time. Differently from traditional process mining where event data is stored in file-based system, we store event data in relational databases. Moreover, the database also has a role as an engine to compute the intermediate structure of social network during insertion data. By moving computation both in location (to database) and time (to recording time), the discovery of social networks in a process context becomes truly scalable. The approach has been implemented using the open source process mining toolkit ProM. The experiments reported in this paper demonstrate scalability while providing results instantly
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