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Removing Garbage Collection in Programming Languages and Object-Space Programming

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1、Removing Garbage Collection in Programming Languages
Garbage Collection (GC) as an automatic memory management technique has emerged in programming languages due to various historical and background reasons. Several key factors include:
(1) Memory management issues: In early programming, developers needed to manually allocate and release memory. This approach was prone to problems such as memory leaks (allocated memory that is no longer needed but not released) and memory overflow (allocated memory exceeds available memory), affecting program stability and reliability.
(2) Improving development efficiency: Automatic memory management significantly simplifies developers' work, reducing errors and complexity associated with manual memory management. This allows developers to focus more on implementing application logic rather than worrying excessively about memory allocation and deallocation details.
(3) Increasing dynamic memory demands: As software complexity and functionality increased, so did the demand for dynamic memory. Traditional manual memory management often couldn't meet the needs of complex applications, whereas automatic memory management can effectively handle large-scale and dynamic memory allocation and deallocation.
(4) Language design trends: With the evolution of programming languages, automatic memory management has become a common design trend. Many modern programming languages like Java, C#, Python, etc., have built-in garbage collection mechanisms. These languages periodically inspect and reclaim unused memory through garbage collectors, thereby enhancing programming convenience and efficiency.
(5) Performance optimization and balance: The development of garbage collection technology also focuses on how to manage memory effectively while ensuring program performance. Modern garbage collectors use optimized algorithms and strategies to minimize the impact on runtime performance, meeting a wide range of application needs.
Overall, the advent of garbage collection aims to address issues caused by traditional manual memory management, while enhancing development efficiency, program reliability, and performance. As computer and programming language technologies continue to evolve, garbage collection techniques also evolve and optimize.

Analyzing Java and Rust languages, envisioning a mechanism for automatic garbage collection without needing GC, the viewpoint is as follows:
Java's garbage collector identifies and reclaims recyclable objects after method calls, while Rust language automatically releases resources through ownership mechanisms. Combining these two and delving deeper, a model is proposed here:
Objects' ownership is bound to the scope of methods; when a method completes execution, immediately invoke the operating system's memory release method for objects bound to that method.

2、Object-Space Programming
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