Capturing Process Knowledge for Multi-Channel Information Systems: A Case Study

Capturing Process Knowledge for Multi-Channel Information Systems: A Case Study

Shang Gao (Norwegian University of Science and Technology, Norway) and John Krogstie (Norwegian University of Science and Technology, Norway)
Copyright: © 2012 |Pages: 21
DOI: 10.4018/jismd.2012010104
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Abstract

In this paper, a case study is used to evaluate the business process characterizing modeling (BPCM) language. The BPCM-framework is meant to guide both business stakeholders and model developers during model-based development. The focus of the approach is the use of BPCM as a starting point for capturing process knowledge when planning and developing information system support. Based on information within the BPCM models, goal models and process models can be developed and used for further development of the BPCM model. The approach in this paper is evaluated using a case study related to the arrangement of a conference series. Through the case study, the authors have confirmed the potential usability and usefulness of BPCM for early stage knowledge capture, getting input for further improvement of the approach.
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Motivation And State Of The Art

Context is a key issue in the interaction between users and mobile devices, describing the surrounding facts that add meanings and can be used for additional personalization of a system. Location can be regarded as one important part of the context. Schmidt, Beigl, and Gellersen (1999) provide a working model for context. At the top level of this model, they propose two contexts related to human factors in the widest sense and physical environment respectively. Human factors related context is structured into three categories: information on the user (i.e., knowledge of habits), the user’s social environment (i.e., co-location of others, social interaction), and the user’s tasks. Likewise, context related to physical environment is structured into three categories: location (i.e., absolute position, relative position), infrastructure (i.e., surrounding resources for computation), and physical conditions (i.e., noise, light). Furthermore, how context relates to requirements specification and analysis and design of mobile information system was discussed in Krogstie (2001) and Krogstie et al. (2003).

The authors in Krogstie et al. (2003) categorize context as follows:

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