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Many programming languages require garbage collection, either as part of the language specification (e.g., RPL, Java, C#, D, [4] Go, and most scripting languages) or effectively for practical implementation (e.g., formal languages like lambda calculus). [5] These are said to be garbage-collected languages.
Further, collecting garbage destroys objects and thus can cause calls to finalizers, executing potentially arbitrary code at an arbitrary point in the program's execution. Incorrect garbage collection (deallocating memory that is not garbage), primarily due to errors in manual garbage collection (rather than errors in garbage collectors ...
In computer programming, tracing garbage collection is a form of automatic memory management that consists of determining which objects should be deallocated ("garbage collected") by tracing which objects are reachable by a chain of references from certain "root" objects, and considering the rest as "garbage" and collecting them.
In computer science, garbage in, garbage out (GIGO) is the concept that flawed, biased or poor quality ("garbage") information or input produces a result or output of similar ("garbage") quality. The adage points to the need to improve data quality in, for example, programming. Rubbish in, rubbish out (RIRO) is an alternate wording. [1] [2] [3]
In computer science, manual memory management refers to the usage of manual instructions by the programmer to identify and deallocate unused objects, or garbage.Up until the mid-1990s, the majority of programming languages used in industry supported manual memory management, though garbage collection has existed since 1959, when it was introduced with Lisp.
Code cleanup can also refer to the removal of all computer programming from source code, or the act of removing temporary files after a program has finished executing. For instance, in a web browser such as Chrome browser or Maxthon , code must be written in order to clean up files such as cookies and storage. [ 6 ]
The terminology of finalizer and finalization versus destructor and destruction varies between authors and is sometimes unclear.. In common use, a destructor is a method called deterministically on object destruction, and the archetype is C++ destructors; while a finalizer is called non-deterministically by the garbage collector, and the archetype is Java finalize methods.
In computer programming, a weak reference is a reference that does not protect the referenced object from collection by a garbage collector, unlike a strong reference.An object referenced only by weak references – meaning "every chain of references that reaches the object includes at least one weak reference as a link" – is considered weakly reachable, and can be treated as unreachable and ...