| 1. |
- Bider, Ilia, et al.
(författare)
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Limiting Variety by Standardizing and Controlling Knowledge Intensive Processes : Case Study and Reflection on Experience
- 2016
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Ingår i: 2016 IEEE 20th International Enterprise Distributed Object Computing Workshop (EDOCW). - : IEEE Computer Society. - 9781467399333
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Konferensbidrag (refereegranskat)abstract
- This paper studies the effects of applying process improvement principles to knowledge-intensive processes, which are typical for being supported by Adaptive Case Management systems. The study is being completed by investigating a process of conducting a small-scale research project that results in BS or MS thesis being defended and graded. The research is a mixture of the case study at the department with which both authors are affiliated and reflections on own experience as active participants of the process. The preliminary results show that the improvement principles applied in the project have helped to smoothen the process and improve its outcome in terms of producing defendable theses that satisfy the requirements set by the relevant authority. However, it seems they might not positively affect other outcomes, like the size and quality of research contribution.
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| 2. |
- Birgersson, Marcus, 1988, et al.
(författare)
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Data Integration Using Machine Learning
- 2016
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Ingår i: Proceedings - IEEE International Enterprise Distributed Object Computing Workshop, EDOCW. - 1541-7719. ; 2016-September, s. 313-322, s. 313-322
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Konferensbidrag (refereegranskat)abstract
- Today, enterprise integration and cross-enterprise collaboration is becoming evermore important. The Internet of things, digitization and globalization are pushing continuous growth in the integration market. However, setting up integration systems today is still largely a manual endeavor. Most probably, future integration will need to leverage more automation in order to keep up with demand. This paper presents a first version of a system that uses tools from artificial intelligence and machine learning to ease the integration of information systems, aiming to automate parts of it. Three models are presented and evaluated for precision and recall using data from real, past, integration projects. The results show that it is possible to obtain Fo.5 scores in the order of 80% for models trained on a particular kind of data, and in the order of 60%-70% for less specific models trained on a several kinds of data. Such models would be valuable enablers for integration brokers to keep up with demand, and obtain a competitive advantage. Future work includes fusing the results from the different models, and enabling continuous learning from an operational production system.
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| 3. |
- de Carvalho, Renata M., et al.
(författare)
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On the analysis of CMMN expressiveness : revisiting workflow patterns
- 2016
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Ingår i: 2016 IEEE 20TH INTERNATIONAL ENTERPRISE DISTRIBUTED OBJECT COMPUTING WORKSHOP (EDOCW). - 9781467399333 ; , s. 54-61
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Konferensbidrag (refereegranskat)abstract
- Traditional business process modeling languages use an imperative style to specify all possible execution flows, leaving little flexibility to process operators. Such languages are appropriate for low-complexity, high-volume, mostly automated processes. However, they are inadequate for case management, which involves low-volume, high-complexity, knowledge-intensive work processes of today's knowledge workers. OMG's Case Management Model and Notation (CMMN), which uses a declarative style to specify constraints placed at a process execution, aims at addressing this need. To the extent that typical case management situations do include at least some measure of imperative control, it is legitimate to ask whether an analyst working exclusively in CMMN can comfortably model the range of behaviors s/he is likely to encounter. This paper aims at answering this question by trying to express the extensive collection of Workflow Patterns in CMMN. Unsurprisingly, our study shows that the workflow patterns fall into three categories: 1) the ones that are handled by CMMN basic constructs, 2) those that rely on CMMN's engine capabilities and 3) the ones that cannot be handled by current CMMN specification. A CMMN tool builder can propose patterns of the second category as companion modeling idioms, which can be translated behind the scenes into standard CMMN. The third category is problematic, however, since its support in CMMN tools will break model interoperability.
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| 4. |
- Henkel, Martin, et al.
(författare)
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Using Open Data to Support Case Management
- 2016
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Ingår i: 2016 IEEE 20th International Enterprise Distributed Object Computing Workshop (EDOCW). - : IEEE. - 9781467399333 ; , s. 50-53
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Konferensbidrag (refereegranskat)abstract
- Public organizations handle many request from citizens, some are routine requests, while others are more complex. To handle requests it is assumed that the case handler and the client share some common grounds, for example that the client and handler have a basic shared understanding of the roles and requirement on them. In this paper we examine how the concept of open data can be used to help the interaction between the client and the case handler. Open data builds upon that public data sources, such as legislations and explanations thereof, is made public. Third parties can then make use of this data and provide tailor-made services for clients. The paper is based on a case study performed at a Swedish municipality, and focus on the potential of open data application for improving the municipalities case handling.
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| 5. |
- Johnson, Pontus, et al.
(författare)
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Automatic Probabilistic Enterprise IT Architecture Modeling : a Dynamic Bayesian Networks Approach
- 2016
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Ingår i: 2016 IEEE 20TH INTERNATIONAL ENTERPRISE DISTRIBUTED OBJECT COMPUTING WORKSHOP (EDOCW). - : IEEE. - 9781467399333 ; , s. 122-129
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Konferensbidrag (refereegranskat)abstract
- Enterprise architecture modeling and model maintenance are time-consuming and error-prone activities that are typically performed manually. This position paper presents new and innovative ideas on how to automate the modeling of enterprise architectures. We propose to view the problem of modeling as a probabilistic state estimation problem, which is addressed using Dynamic Bayesian Networks (DBN). The proposed approach is described using a motivating example. Sources of machine-readable data about Enterprise Architecture entities are reviewed.
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| 6. |
- Närman, Pia, et al.
(författare)
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Analyzing Coordination and Flexibility in Organizations Using Enterprise Architecture
- 2016
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Ingår i: 2016 IEEE 20TH INTERNATIONAL ENTERPRISE DISTRIBUTED OBJECT COMPUTING WORKSHOP (EDOCW). - : IEEE. - 9781467399333 ; , s. 106-113
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Konferensbidrag (refereegranskat)abstract
- The structure of organizations impact their performances. Here, we present a framework based on enterprise architecture to analyze the impact organization structure has on flexibility and coordination within an organization. The framework incorporates organization structure theories by Henry Mintzberg using the Object Constraint Language (OCL) and the Unified Modeling Language (UML) in the modeling tool Enterprise Architecture Analysis Tool (EAAT). The framework has also been applied on a case study where the suitability of three organizations' structures with regards to flexibility and coordination are analyzed.
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| 7. |
- Rychkova, Irina, et al.
(författare)
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Message from the AdaptiveCM 2016 Workshop Chairs
- 2016
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Ingår i: 2016 IEEE 20th International Enterprise Distributed ObjectComputing Workshop (EDOCW). - : IEEE Computer Society. - 9781467399333
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- This preface provides a brief overview of the Fifth International Workshop on Adaptive Case Management and other Non-workflow Approaches to BPM (AdaptiveCM) held in conjunction with EDOC 2016. The preface introduces the workshop goals, lists the accepted papers and acknowledges the great efforts of PC and other individuals who worked for this event to happen.
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| 8. |
- Zimmermann, Alfred, et al.
(författare)
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Multi-Perspective Decision Management for Digitization Architecture and Governance
- 2016
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Ingår i: 2016 IEEE 20th International Enterprise Distributed Object Computing Workshop (EDOCW). - : IEEE. - 9781467399333 ; , s. 1-9
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Konferensbidrag (refereegranskat)abstract
- The Internet of Things, Enterprise Social Networks, Adaptive Case Management, Mobility Systems, Analytics for Big Data, and Cloud environments are emerging to support smart connected i.e. digital products and services and the digital transformation. Biological metaphors of living and adaptable ecosystems provide the logical foundation for selfoptimizing and resilient run-time environments for intelligent business services and related distributed information systems with service-oriented digitization architectures. We are investigating mechanisms for flexible adaptation and evolution of information systems with digital architecture in the context of the ongoing digital transformation. Our aim is to support flexibility and agile transformation for both business and related information systems through adaptation and dynamical evolution of their digital architectures. The present research paper investigates mechanisms of decision analytics for digitization architectures, putting a spotlight to Internet of Things architectures, by extending original enterprise architecture reference models with digitization architectures and their multiperspective architectural decision management.
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