AN AGILE METHOD AND FRAMEWORK FOR MODEL-BASED SYSTEMS ENGINEERING
Souza, L. M., Silva, J.R.
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- Souza, L. M., Silva, J.R.
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- 2025
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- Conference Proceedings
- Abstract
- The modern global economy involves intensive and frequent innovation activities, gathering market stakeholders and academics together. Stakeholders explore new profitable and sustainable activities, while academics look for new methods and approaches to shorten the design process while improving its efficiency and accuracy. Those are contradictory goals, especially when faced with a demand for rapid performance. Therefore, there is a general request for methods that abstractly embrace knowledge to allow process automation and the capability to process rapid, and sometimes radical, innovation. This article proposes a goal-oriented approach to compose an agile method to meet all these demands. Goal orientation can direct the design toward knowledge and final proposals, which can later be instantiated in functionalities. Goals could instantiate the final states to be reached and fit the knowledge included in Artificial Planning. Agile refers to rapid modeling and lean canvas, adapting to disruptive changes, as in startups. Automatic algorithms help navigation among different representations for requirements engineering and compose the basis for digital documentation. The close connection between requirements modeling and the lean canvas allows new demands for innovation to receive a short and direct enunciation, with business and technical considerations in the canvas, which will be refined and inserted into a goal model. Goal-oriented modeling is input for formal process modeling in Petri Nets for property analysis. The choice of Petri nets is related to its standard and successful use in the design and analysis of process automation. An advantage of this approach is the ability to contemplate design reuse based on the lean canvas and structured knowledge.
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- ABCM
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