Why are high-level languages easier for humans to understand?

  show understanding of the need for both high-level and low-level languages

•  show understanding of the need for compilers when translating programs written in a high-level language

•  show understanding of the use of interpreters with high-level language programs

•  show understanding of the need for assemblers when translating programs written in assembly language

Why are high-level languages easier for humans to understand?

The only language understood by computers is binary, also known as machine code

This is because computers are electronic devices that can only tell the difference between the on and off states of an electric circuit. 

The numbers 1 and 0 are used by humans to represent these on/off values. That’s why things written in binary look like this: 01010010010001010101011001001001010100110100010100100001

Machine code:

  •  Instructions for a computer to follow must therefore be written in machine code
  • This was done by early computer programmers
  • Each sort of computer is different so they all need different binary instructions to perform the same task – different computers have different machine code

Programming languages can be classified into low-level and high-level languages

Low-level languages

Assembly:

 To make it easier to program computers a programming language was invented. It was called ‘Assembly‘ and was made up of a small set of command words called mnemonics which programmers typed instead of binary Examples of mnemonics are “MOV”, “ADD” and “PUSH”

Computers could not understand Assembly so it had to be converted to machine code by an ‘assembler‘before it could be run

  • Low-level languages are more similar to machine code than they are to languages spoken by humans
  • They are not very developed and just offer quicker ways to write binary
  • This means they give the programmer close control over the computer because their instructions are very specific
  • Unfortunately they are hard to learn
  • Since the machine code for each computer is different, programs translated to machine code on one computer will not work on a different one: Low level languages are not very ‘portable’

High-level languages

High level programming languages are more developed than low-level languages so are closer to human spoken language

  • Some examples of high level languages are: C#, Visual Basic, C, C++, JavaScript, Objective C, BASIC and Pascal (the fact that they all have the letter C in their name is a coincidence. Some do not.)
  • High-level programming languages are easier for humans to write, read and maintain
  • They support a wide range of data types
  • They allow the programmer to think about how to solve the problem and not how to communicate with the computer. This is called abstraction

Converting to Machine Code

 Translators:

  • Just like low-level languages, high-level languages must be converted to machine code before a computer can understand and run them
  • This is done using a ‘translator‘
  • Different translators convert the same high level code into machine code for different computers
  • High level code ready to be translated into machine code is called ‘source code’

There are two different types of translator: Compilers and Interpreters

Compilers:

  • Compilers convert (or ‘compile’) the source code to machine code all at once
  • This is then stored as an executable file which the computer can run (for example, something ending with the ‘.exe’ file extension)
  • Errors in the source code can be spotted as the program is compiling and reported to the programmer

Interpreters:

  • Interpreters convert the code as it is running
  • They take a line of source code at a time and convert it to machine code (which the computer runs straight away)
  • This is repeated until the end of the program
  • No executable file is created
  • If the interpreter comes across an error in the source code the only things it can do is to report the error to the person trying to use the program (or it may just refuse to continue running)

Show understanding of the need for both high-level and low-level languages

Computers don’t understand high level languages because they only understand binary (‘machine code’). 

Humans struggle to understand exactly what a program does when it is in binary only.

High-level languages are more accessible to programmers.

High-level languages will work on different types of computers.

Low-level programming allows for hardware to be controlled directly.

Low-level programming will only work with the processor it is designed for (machine-dependent).

understand the need for compilers when translating programs written in a high-level language 

Translates the entire program from source (i.e. high-level language) to object code / machine code.

Produces an executable file (i.e. In binary / machine code)

Source code remains hidden so cannot be modified by customer

Compiled once only so doesn’t need a translator

Compilers use a lot of computer resources: It has to be loaded in the computer’s memory at the same time as the source code and there has to be sufficient memory to hold the object code

Difficult to pin-point errors its source in the original program.

Show understanding of the use of interpreters with high-level language programs

Interpreters translate each instruction is taken in turn and translated to machine code. The instruction is then executed before the next instruction is translated.

Error messages are output as soon as an error is encountered so easy to debug

Useful for prototypes as program will run even when part of it has errors.

Execution of a program is slow compared to that of a compiled program.

Instructions inside a loop have to be translated each time the loop is entered.

Understand the need for assemblers when translating programs written in assembly language

Assemblers translate assembly language to machine code / binary / object code.

In computer science, a high-level programming language is a programming language with strong abstraction from the details of the computer. In contrast to low-level programming languages, it may use natural language elements, be easier to use, or may automate (or even hide entirely) significant areas of computing systems (e.g. memory management), making the process of developing a program simpler and more understandable than when using a lower-level language. The amount of abstraction provided defines how "high-level" a programming language is.[1]

In the 1960s, a high-level programming language using a compiler was commonly called an autocode.[2] Examples of autocodes are COBOL and Fortran.[3]

The first high-level programming language designed for computers was Plankalkül, created by Konrad Zuse.[4] However, it was not implemented in his time, and his original contributions were largely isolated from other developments due to World War II, aside from the language's influence on the "Superplan" language by Heinz Rutishauser and also to some degree ALGOL. The first significantly widespread high-level language was Fortran, a machine-independent development of IBM's earlier Autocode systems. The ALGOL family, with ALGOL 58 defined in 1958 and ALGOL 60 defined in 1960 by committees of European and American computer scientists, introduced recursion as well as nested functions under lexical scope. ALGOL 60 was also the first language with a clear distinction between value and name-parameters and their corresponding semantics.[5] ALGOL also introduced several structured programming concepts, such as the while-do and if-then-else constructs and its syntax was the first to be described in formal notation – Backus–Naur form (BNF). During roughly the same period, COBOL introduced records (also called structs) and Lisp introduced a fully general lambda abstraction in a programming language for the first time.

"High-level language" refers to the higher level of abstraction from machine language. Rather than dealing with registers, memory addresses, and call stacks, high-level languages deal with variables, arrays, objects, complex arithmetic or boolean expressions, subroutines and functions, loops, threads, locks, and other abstract computer science concepts, with a focus on usability over optimal program efficiency. Unlike low-level assembly languages, high-level languages have few, if any, language elements that translate directly into a machine's native opcodes. Other features, such as string handling routines, object-oriented language features, and file input/output, may also be present. One thing to note about high-level programming languages is that these languages allow the programmer to be detached and separated from the machine. That is, unlike low-level languages like assembly or machine language, high-level programming can amplify the programmer's instructions and trigger a lot of data movements in the background without their knowledge. The responsibility and power of executing instructions have been handed over to the machine from the programmer.

High-level languages intend to provide features that standardize common tasks, permit rich debugging, and maintain architectural agnosticism; while low-level languages often produce more efficient code through optimization for a specific system architecture. Abstraction penalty is the cost that high-level programming techniques pay for being unable to optimize performance or use certain hardware because they don't take advantage of certain low-level architectural resources. High-level programming exhibits features like more generic data structures and operations, run-time interpretation, and intermediate code files; which often result in execution of far more operations than necessary, higher memory consumption, and larger binary program size.[6][7][8] For this reason, code which needs to run particularly quickly and efficiently may require the use of a lower-level language, even if a higher-level language would make the coding easier. In many cases, critical portions of a program mostly in a high-level language can be hand-coded in assembly language, leading to a much faster, more efficient, or simply reliably functioning optimised program.

However, with the growing complexity of modern microprocessor architectures, well-designed compilers for high-level languages frequently produce code comparable in efficiency to what most low-level programmers can produce by hand, and the higher abstraction may allow for more powerful techniques providing better overall results than their low-level counterparts in particular settings.[9] High-level languages are designed independent of a specific computing system architecture. This facilitates executing a program written in such a language on any computing system with compatible support for the Interpreted or JIT program. High-level languages can be improved as their designers develop improvements. In other cases, new high-level languages evolve from one or more others with the goal of aggregating the most popular constructs with new or improved features. An example of this is Scala which maintains backward compatibility with Java which means that programs and libraries written in Java will continue to be usable even if a programming shop switches to Scala; this makes the transition easier and the lifespan of such high-level coding indefinite. In contrast, low-level programs rarely survive beyond the system architecture which they were written for without major revision. This is the engineering 'trade-off' for the 'Abstraction Penalty'.

Examples of high-level programming languages in active use today include Python, JavaScript, Visual Basic, Delphi, Perl, PHP, ECMAScript, Ruby, C#, Java and many others.

The terms high-level and low-level are inherently relative. Some decades ago, the C language, and similar languages, were most often considered "high-level", as it supported concepts such as expression evaluation, parameterised recursive functions, and data types and structures, while assembly language was considered "low-level". Today, many programmers might refer to C as low-level, as it lacks a large runtime-system (no garbage collection, etc.), basically supports only scalar operations, and provides direct memory addressing. It, therefore, readily blends with assembly language and the machine level of CPUs and microcontrollers. Also, in the introduction chapter of The C Programming Language (second edition) by K&R, C is considered as a relatively "low level" language.[10]

Assembly language may itself be regarded as a higher level (but often still one-to-one if used without macros) representation of machine code, as it supports concepts such as constants and (limited) expressions, sometimes even variables, procedures, and data structures. Machine code, in its turn, is inherently at a slightly higher level than the microcode or micro-operations used internally in many processors.[11]

There are three general modes of execution for modern high-level languages:

Interpreted When code written in a language is interpreted, its syntax is read and then executed directly, with no compilation stage. A program called an interpreter reads each program statement, following the program flow, then decides what to do, and does it. A hybrid of an interpreter and a compiler will compile the statement into machine code and execute that; the machine code is then discarded, to be interpreted anew if the line is executed again. Interpreters are commonly the simplest implementations of the behavior of a language, compared to the other two variants listed here. Compiled When code written in a language is compiled, its syntax is transformed into an executable form before running. There are two types of compilation: Machine code generation Some compilers compile source code directly into machine code. This is the original mode of compilation, and languages that are directly and completely transformed to machine-native code in this way may be called truly compiled languages. See assembly language. Intermediate representations When code written in a language is compiled to an intermediate representation, that representation can be optimized or saved for later execution without the need to re-read the source file. When the intermediate representation is saved, it may be in a form such as bytecode. The intermediate representation must then be interpreted or further compiled to execute it. Virtual machines that execute bytecode directly or transform it further into machine code have blurred the once clear distinction between intermediate representations and truly compiled languages.Source-to-source translated or transcompiled Code written in a language may be translated into terms of a lower-level language for which native code compilers are already common. JavaScript and the language C are common targets for such translators. See CoffeeScript, Chicken Scheme, and Eiffel as examples. Specifically, the generated C and C++ code can be seen (as generated from the Eiffel language when using the EiffelStudio IDE) in the EIFGENs directory of any compiled Eiffel project. In Eiffel, the translated process is referred to as transcompiling or transcompiled, and the Eiffel compiler as a transcompiler or source-to-source compiler.

Note that languages are not strictly interpreted languages or compiled languages. Rather, implementations of language behavior use interpreting or compiling. For example, ALGOL 60 and Fortran have both been interpreted (even though they were more typically compiled). Similarly, Java shows the difficulty of trying to apply these labels to languages, rather than to implementations; Java is compiled to bytecode which is then executed by either interpreting (in a Java virtual machine (JVM)) or compiling (typically with a just-in-time compiler such as HotSpot, again in a JVM). Moreover, compiling, transcompiling, and interpreting is not strictly limited to only a description of the compiler artifact (binary executable or IL assembly).

High-level language computer architecture

Alternatively, it is possible for a high-level language to be directly implemented by a computer – the computer directly executes the HLL code. This is known as a high-level language computer architecture – the computer architecture itself is designed to be targeted by a specific high-level language. The Burroughs large systems were target machines for ALGOL 60, for example.[12]

  •  Computer programming portal

  • Abstraction (computer science)
  • Generational list of programming languages
  • Low-level programming languages
  • High-level assembler
  • Very high-level programming languages
  • Categorical list of programming languages

  1. ^ HThreads - RD Glossary
  2. ^ London, Keith (1968). "4, Programming". Introduction to Computers. 24 Russell Square London WC1: Faber and Faber Limited. p. 184. ISBN 0571085938. The 'high' level programming languages are often called autocodes and the processor program, a compiler.{{cite book}}: CS1 maint: location (link)
  3. ^ London, Keith (1968). "4, Programming". Introduction to Computers. 24 Russell Square London WC1: Faber and Faber Limited. p. 186. ISBN 0571085938. Two high level programming languages which can be used here as examples to illustrate the structure and purpose of autocodes are COBOL (Common Business Oriented Language) and FORTRAN (Formular Translation).{{cite book}}: CS1 maint: location (link)
  4. ^ Giloi, Wolfgang, K. [de] (1997). "Konrad Zuse's Plankalkül: The First High-Level "non von Neumann" Programming Language". IEEE Annals of the History of Computing, vol. 19, no. 2, pp. 17–24, April–June, 1997. (abstract)
  5. ^ Although it lacked a notion of reference-parameters, which could be a problem in some situations. Several successors, including ALGOL W, ALGOL 68, Simula, Pascal, Modula and Ada thus included reference-parameters (The related C-language family instead allowed addresses as value-parameters).
  6. ^ Surana P (2006). "Meta-Compilation of Language Abstractions" (PDF). Archived (PDF) from the original on 2015-02-17. Retrieved 2008-03-17. {{cite journal}}: Cite journal requires |journal= (help)
  7. ^ Kuketayev. "The Data Abstraction Penalty (DAP) Benchmark for Small Objects in Java". Archived from the original on 2009-01-11. Retrieved 2008-03-17.
  8. ^ Chatzigeorgiou; Stephanides (2002). "Evaluating Performance and Power Of Object-Oriented Vs. Procedural Programming Languages". In Blieberger; Strohmeier (eds.). Proceedings - 7th International Conference on Reliable Software Technologies - Ada-Europe'2002. Springer. p. 367.
  9. ^ Manuel Carro; José F. Morales; Henk L. Muller; G. Puebla; M. Hermenegildo (2006). "High-level languages for small devices: a case study" (PDF). Proceedings of the 2006 International Conference on Compilers, Architecture and Synthesis for Embedded Systems. ACM.
  10. ^ Kernighan, Brian W.; Ritchie, Dennis M. (1988). The C Programming Language: 2nd Edition. Prentice Hall. ISBN 9780131103627. Archived from the original on 2018-12-13.
  11. ^ Hyde, Randall. (2010). The art of assembly language (2nd ed.). San Francisco: No Starch Press. ISBN 9781593273019. OCLC 635507601.
  12. ^ Chu, Yaohan (1975), "Concepts of High-Level Language Computer Architecture", High-Level Language Computer Architecture, Elsevier, pp. 1–14, doi:10.1016/b978-0-12-174150-1.50007-0, ISBN 9780121741501

  • http://c2.com/cgi/wiki?HighLevelLanguage - The WikiWikiWeb's article on high-level programming languages

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