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Pseudocode resembles skeleton programs, which can be compiled without errors. Flowcharts, drakon-charts and Unified Modelling Language (UML) charts can be thought of as a graphical alternative to pseudocode, but need more space on paper. Languages such as bridge the gap between pseudocode and code written in programming languages.
Skeleton code is used to assist programmers to develop their code with the fewest errors during the time of compilation. Skeleton code is most commonly found in parallel programming, but is also applied in other situations, like documentation in programming languages. This helps to simplify the core functionality of a potentially confusing method.
Program Design Language (or PDL, for short) is a method for designing and documenting methods and procedures in software.It is related to pseudocode, but unlike pseudocode, it is written in plain language without any terms that could suggest the use of any programming language or library.
Decompilation is the process of transforming executable code into a high-level, human-readable format using a decompiler.This process is commonly used for tasks that involve reverse-engineering the logic behind executable code, such as recovering lost or unavailable source code.
Rateless codes produce an arbitrarily large number of symbols which can be broadcast until the receivers have enough symbols. High level view of the use of online codes. The online encoding algorithm consists of several phases. First the message is split into n fixed size message blocks. Then the outer encoding is an erasure code which produces ...
P-code is a name for several of Microsoft's proprietary intermediate languages. They provided an alternate binary format to machine code. At various times, Microsoft has said P-code is an abbreviation for either packed code [7] or pseudo code. [8] Microsoft P-code was used in Visual C++ and Visual Basic.
The Knuth–Plass algorithm is a line-breaking algorithm designed for use in Donald Knuth's typesetting program TeX.It integrates the problems of text justification and hyphenation into a single algorithm by using a discrete dynamic programming method to minimize a loss function that attempts to quantify the aesthetic qualities desired in the finished output.
Originally developed as an internal tool for a CTF team, [4] the developers later formed Vector 35 Inc. to turn Binary Ninja into a commercial product. Development began in 2015, and the first public version was released in July 2016. The commercial version was developed from scratch and does not share code with the original internal tool. [4]