Iterate Your Application Architecture To Have At Least Two S

Iterate Your Application Architecture To Have At Least 2 Subsystems

Iterate your application architecture to have at least 2 subsystems per tier (e.g., data tier 3 will have 3.1 local storage and 3.2 cloud storage). List your functional requirements as a list (1.0, 1.1, 1.2, 2.1, etc.) and place them in your Software Requirements Specification (SRS) document, following the IEEE 830 template. Start your information architecture design matrix by listing all functional requirements on an Excel sheet, mapping each to a design pattern (components), a procurement method (PV), prioritization using the MoSCoW method, and engineering considerations like estimated time to complete (ETC). Once the ETC per functional requirement is determined, populate your Gantt chart in Microsoft Project, listing all tasks and representing their durations with graphical bars.

Paper For Above instruction

The process of architecting a software application with multiple subsystems per tier is essential for creating scalable, maintainable, and modular systems. Incorporating at least two subsystems within each tier—such as the data tier—enables organizations to optimize performance, enhance redundancy, and segment functionalities according to specific business needs. This paper discusses the key steps and considerations involved in iterating and designing an application architecture with at least two subsystems per tier, including the development of functional requirements, the creation of an information architecture design matrix, and the project scheduling via Gantt charts.

Firstly, clear documentation of functional requirements is fundamental. These requirements specify what the system must do, and they are typically organized in a hierarchical manner (e.g., 1.0, 1.1, 1.2, 2.1). Utilizing established templates such as the IEEE 830 ensures consistency and completeness in documenting these requirements within the Software Requirements Specification (SRS). For example, in a healthcare management system, functional requirements may include appointment scheduling, patient data management, billing procedures, and reporting functionalities. Segregating these requirements into distinct labels facilitates precise mapping during architecture design and system development.

Secondly, establishing an information architecture design matrix facilitates visual and systematic mapping of functional requirements to specific components and procurement strategies. This matrix can be constructed using Excel, where each functional requirement is linked to a particular design pattern—such as modular components, microservices, or layered services—and to procurement or development approaches (e.g., in-house development, third-party purchase, open-source). The MoSCoW prioritization method helps determine the criticality of each requirement, classifying them as Must have, Should have, Could have, or Won't have. Considering engineering factors like the estimated time to complete (ETC) for each requirement is vital for effective planning and resource allocation.

Thirdly, with ETC data available, project managers can generate detailed Gantt charts using tools like Microsoft Project. Listing all tasks—each aligned with a specific functional requirement—in the left column allows for a clear visualization of the project timeline. The ETC provides the basis for plotting duration bars, which visually communicate task overlaps, dependencies, and critical paths. Properly estimating and representing these timelines ensure efficient project management, risk mitigation, and resource deployment.

Implementing these steps, the iteration of the application architecture encourages modularity and scalability. For example, a tiered architecture with separate subsystems for data storage can include local database and cloud storage components, enabling flexible data management strategies. The decomposition of functional requirements and their mapping to clear components also facilitates easier updates and troubleshooting. Moreover, integrating project management practices such as Gantt chart planning ensures accountability and traceability throughout the development lifecycle.

In conclusion, iterating the application architecture to incorporate multiple subsystems per tier involves detailed planning and systematic documentation. Developing a comprehensive requirements list, creating an information architecture matrix, and visualizing task timelines through Gantt charts are crucial steps toward building robust, scalable, and maintainable systems. These practices foster a structured development process, improving overall project delivery and system quality.

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