SEJul 28, 2021

Beyond SDLC: Process Modeling and Documentation Using Thinging Machines

arXiv:2107.13633v11 citations
AI Analysis

This work addresses the need for improved process documentation in organizations to support growth and manage changes, but it appears incremental as it builds on existing modeling concepts.

The paper tackles process modeling in organizations by proposing a diagrammatic representation using thinging machines to create process documentation alongside daily operations, demonstrating its viability by re-modeling examples from the literature.

The software development life cycle (SDLC) is a procedure used to develop a software system that meets both the customer s needs and real-world requirements. The first phase of the SDLC involves creating a conceptual model that represents the involved domain in reality. In requirements engineering, building such a model is considered a bridge to the design and construction phases. However, this type of model can also serve as a basic model for identifying business processes and how these processes are interconnected to achieve the final result. This paper focuses on process modeling in organizations, per se, beyond its application in the SDLC when an organization needs further documentation to meet its growth needs and address regular changes over time. The resultant process documentation is created alongside the daily operations of the business process. The model provides process visualization and documentation to assist in defining work patterns, avoiding redundancy, or even designing new processes. In this paper, a proposed diagrammatic representation models each process using one diagram comprising five actions and two types of relationships to build three levels of depiction. These levels consist of a static description, events, and the behavior of the modeled process. The viability of a thinging machine is demonstrated by re-modeling some examples from the literature.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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