Answer
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Work Step by Step
Designing a large software system with all data elements as global can lead to several maintenance issues:
1. **Dependency Management:** Global data elements can create tight coupling between different parts of the system, making it difficult to manage dependencies. Changes to one part of the system may require modifications to multiple other parts, increasing the risk of introducing bugs.
2. **Concurrency Issues:** Global data can lead to concurrency problems when multiple parts of the system attempt to access or modify the same data simultaneously. This can result in race conditions, deadlocks, and inconsistent behavior.
3. **Security Vulnerabilities:** Global data increases the surface area for potential security vulnerabilities. Unauthorized access or manipulation of global data can compromise the integrity and confidentiality of the system.
4. **Scalability Challenges:** As the system grows in size and complexity, managing global data becomes more challenging. Scalability issues may arise as the system struggles to handle increasing data volumes and user loads.
5. **Testing and Debugging Difficulty:** Global data makes it harder to isolate and test individual components of the system in isolation. Debugging becomes more complex, as it may be difficult to determine the source of errors when multiple parts of the system are interacting with global data.
6. **Code Maintainability:** Global data can lead to code that is more difficult to understand and maintain. Without clear boundaries between different parts of the system, it becomes harder to reason about the behavior of the system and make modifications without unintended side effects.
Overall, designing a large software system with all data elements as global can result in decreased maintainability, scalability, and security, while also increasing the complexity of development and testing processes.
