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Yan Jin

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Publication statistics

Pub. period:1998-2003
Pub. count:4
Number of co-authors:8

Co-authors

Number of publications with 3 favourite co-authors:

Jörn W. Janneck:2
Robert Esser:2
Raymond E. Levitt:2

Productive colleagues

Yan Jin's 3 most productive colleagues in number of publications:

Raymond E. Levitt:5
Jörn W. Janneck:4
Robert Esser:4

Calendar

May 22

Knowing (by) Designing 2013

May 27

13th Intl. Conf. on New Interfaces for Musical Expression

May 28

Graphics Interface 2013

May 21

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Publications by Yan Jin (bibliography)

2003

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Jin, Yan, Esser, Robert and Janneck, Jörn W. (2003): Analysis-oriented semantics definition of visual languages. In: HCC 2003 - IEEE Symposium on Human Centric Computing Languages and Environments 28-31 October, 2003, Auckland, New Zealand. pp. 189-191.

2002

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Jin, Yan, Esser, Robert and Janneck, Jörn W. (2002): Describing the Syntax and Semantics of UML Statecharts in a Heterogeneous Modelling Environment. In: Hegarty, Mary, Meyer, Bernd and Narayanan, N. Hari (eds.) Diagrams 2002 - Diagrammatic Representation and Inference - Second International Conference April 18-20, 2002, Callaway Gardens, GA, USA. pp. 320-334.

1999

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Christensen, Lars Chr., Christiansen, Tore R., Jin, Yan, Kunz, John and Levitt, Raymond E. (1999): Modeling and Simulating Coordination in Projects. In Journal of Organizational Computing and Electronic Commerce, 9 (1) pp. 33-56.

“A main challenge in managing projects is identification and understanding of interactions between subtasks. These interactions give rise to dependencies between activities in the project plan. The resulting interdependence between members of the project team requires them to coordinate extensively during project execution. Project managers need a systematic methodology for describing and analyzing coordination requirements on project teams. This need is not met in traditional tools for project planning and scheduling. In this article, we describe an object-oriented framework for modeling projects and a methodology for formalizing these models such that they can be used for discrete event simulation of information processing and coordination in project execution. Our modeling framework represents projects in terms of objective (requirements), product (solution deliverables), process (activities), and organization (participants and relations). We then use matrix techniques to explicate the constraints between project requirements and deliverables (complexity), the contingencies in information flow between activities (uncertainty), and the resulting coordination requirements between project team members. The model and coordination measures can be used as input for simulation of project execution and give predictions for the probable effects of carrying out proposed changes in planning and managing projects. To illustrate how enterprise modeling and analysis can inform project planing and execution, we apply our framework and methodology to model and simulate a simplified project for development of hydraulic systems. Our simulation results demonstrate how project performance is contingent on the fit between the project policies and the objectives and preferences of the project team.”

1998

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Kunz, John C., Christiansen, Tore R., Cohen, Geoff P., Jin, Yan and Levitt, Raymond E. (1998): The Virtual Design Team. In Communications of the ACM, 41 (11) pp. 84-91.

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