Enhancing the Guidance of the Intentional Model "MAP": Graph Theory Application
Rebecca Deneckere (CRI), Elena Kornyshova (CRI), Colette Rolland (CRI)

TL;DR
This paper enhances the MAP model for process guidance in information systems by integrating graph theory algorithms and qualitative criteria, enabling automatic and improved process execution guidance.
Contribution
It introduces a novel approach to express MAP maps with graphs and applies graph algorithms for automatic guidance, improving process management.
Findings
Graph algorithms can effectively guide MAP process execution.
Adding qualitative criteria enhances map expressiveness.
The approach demonstrates practical applicability through an illustrative example.
Abstract
The MAP model was introduced in information system engineering in order to model processes on a flexible way. The intentional level of this model helps an engineer to execute a process with a strong relationship to the situation of the project at hand. In the literature, attempts for having a practical use of maps are not numerous. Our aim is to enhance the guidance mechanisms of the process execution by reusing graph algorithms. After clarifying the existing relationship between graphs and maps, we improve the MAP model by adding qualitative criteria. We then offer a way to express maps with graphs and propose to use Graph theory algorithms to offer an automatic guidance of the map. We illustrate our proposal by an example and discuss its limitations.
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Taxonomy
TopicsSoftware Engineering Techniques and Practices · Business Process Modeling and Analysis · Software Engineering Research
