What Are the Stable Analysis Patterns (SAPs)?
Stable Analysis Patterns (SAPs)/Enduring Business Themes (EBTs) (BASE)
Software analysis patterns play a significant and decisive role in reducing the overall cost and condensing the time duration of software project lifecycles. However, building reusable and Stable Analysis Patterns (SAPs) is still a significant and dicey challenge. We propose SAPs as a new and fresh approach for building durable and reusable analysis patterns based on Software Stability Model (SSM)
Software stability Model (SSM) is a Concurrent Software Development Model (CSDM) introduced and pioneered by me and has demonstrated great promise and immense hope in software reuse and lifecycle improvement. In practice, software stability models apply the unified word of "Enduring business themes" or "Goals" (EBTs) and "Business objectives" or "Capabilities to achieve the goals" (BOs). These revolutionary Unified Words have been shown to produce and yield stable models over time across various paradigm shifts within a given domain or application context. By applying the enduring words of the stability model to the notion of analysis patterns, we propose the Stable Analysis Patterns (SAPs). Here, we analyze the problem regarding its EBTs and the BOs, aiming to reach increased stability and broader reuse. By analyzing the problem in terms of its EBTs and BOs, the resulting pattern models structure the core knowledge of the problem. The ultimate goal, therefore, is stability. As a result, these stable patterns could be easily understood and reused to model the same problem in any context.
Significant advantages of SAPs:
1. Highlight the significant aspects, techniques, and processes of understanding software problems.
2. Illustrate many delicate problems: unified functional and non-functional requirements.
3. Provide workable solutions to the most controversial and debatable questions facing software analysis patterns today.
4. Provide a diversity of domain-less SAPs that can be easily comprehended and reused to model similar problems in any context.
5. Show how to link the SAPs to the design phase. It will also provide the main design issues necessary for a smooth transition between analysis and design.
6. Provide a new template for improving all developers' communication of analysis patterns. This template aims to capture the static and dynamic behavior of the pattern while maintaining the simplicity of reading and understanding the pattern. Subsequently, using SAPs enhances the reusability further.
Where BASE means that the SAPs is a base book, and we will generate a book on each domain, such as Machine Learning SAPs (ML-SAPs), Computer Vision SAPs (CV-SAPs), Data Mining SAPs (DM-SAPs), Smart City SAPs (SC-SAPs), Business Intelligence SAPs (BI-SAPs), Geographical Database SAPs (GDB-SAPs), Cyber Security SAPS (CS-SAPs), and others.
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