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Stage 1: the bootstrap compiler is produced. This compiler is enough to translate its own source into a program which can be executed on the target machine. At this point, all further development is done using the language defined by the bootstrap compiler, and stage 2 begins. Stage 2: a full compiler is produced by the bootstrap compiler.
Bootstrapping: If using a compiler, a developer may use the process of bootstrapping, where a compiler for a programming language is rewritten in itself. [13] This is good for bug checking, and proving its capability. [14] Bootstrapping also comes with the benefit of only needing to program the language in itself from there-on.
Bootstrappable builds, a process of compiling software that doesn't depend on (compiler) binaries that aren't built from source by this process. [1] [2] [3]This process can protect against compiler backdoors: if the build process doesn't depend on binary code that is difficult to audit, then a compiler backdoor cannot be hidden in compiler binaries anymore.
In computer technology, the term bootstrapping refers to language compilers that are able to be coded in the same language. (For example, a C compiler is now written in the C language. Once the basic compiler is written, improvements can be iteratively made, thus "pulling the language up by its bootstraps").
Tombstone diagram representing an Ada compiler written in C that produces machine code. Representation of the process of bootstrapping a C compiler written in C, by compiling it using another compiler written in machine code. To explain, the lefthand T is a C compiler written in C that produces machine code.
Compiler design. Regardless of the exact number of phases in the compiler design, the phases can be assigned to one of three stages. The stages include a front end, a middle end, and a back end. The front end scans the input and verifies syntax and semantics according to a specific source language.
First published in 1986, it is widely regarded as the classic definitive compiler technology text. [2] It is known as the Dragon Book to generations of computer scientists [3] [4] as its cover depicts a knight and a dragon in battle, a metaphor for conquering complexity. This name can also refer to Aho and Ullman's older Principles of Compiler ...
Building a self-hosting compiler is a bootstrapping problem, i.e. the first such compiler for a language must be either hand written machine code, compiled by a compiler written in another language, or compiled by running the compiler's source on itself in an interpreter.