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Antipasti: Solving the Software Puzzles

Antipasti: Solving the Software Puzzles
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Copyright: 2019
Pages: 23
Source title: Software Engineering for Enterprise System Agility: Emerging Research and Opportunities
Source Author(s)/Editor(s): Sergey V. Zykov (National Research University Higher School of Economics, Russia), Alexander Gromoff (National Research University Higher School of Economics, Russia)and Nikolay S. Kazantsev (National Research University Higher School of Economics, Russia)
DOI: 10.4018/978-1-5225-5589-6.ch004

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Abstract

Nowadays megatrend of Industry 4.0 initiative in complex and dynamic business environments require easy and hands-on methods for enterprise modelling that will be able to recalibrate process's models constantly. Processes are often declared as being “modeled” or “documented” but seldom as being “designed.” This leads to certain afflictions in allocation of the particular resources required for the tasks of process modeling or design. There is perception of process modeling as a routine task, which is structured itself by “modeling terms and conditions” or “modeling agreement,” while “design thinking” is mainly considered as much more less structured and belonging to the artist's nature. Implementation of such models in practice or IT automation does not fit the reality because of misinterpretation from the start of modeling and multiplied on each step of model transformation. In such circumstances any thought about fruitful digitalization looks very abused. This chapter describes a set of tools and techniques for enriching organizational models with semantic information and adjusting them on request. Firstly, this chapter considers an innovative approach for the model binding with relevant documents and experts. Secondly, factors that trigger models' changes using company's information environment (field) are defined. Thirdly, an agile enterprise-modeling framework that automatically adapts to the business situation, creating context-aware working environment for employees, is introduced.

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