Computer science programming is often known as ‘coding’ or ‘developing’. Usually computer science programming demands in writing, modifying, fixing, and maintaining the source code of a computer software program. Since the software source code is written in a computer science programming languages, the programmer or ‘coder’ needs to know the programming language in depth, the programmer needs to know the programming language in-and-out as the source code is written using a computer programming language.
In the traditional software development life cycle, computer science programming phase is thought as one of the most significant steps. Although there are ongoing debates on whether the computer science programming is an art or engineering practice, I personally think that computer science programming is an engineering practice.
First of all, it was all mechanically predefined process that was presented as programming. One of the most famous ‘programming’ incidents was Al-Jazari’s robotic musicians who were programmed using pegs and cams. Although this ‘programming’ was wholly different from the type of the programming we see at present, there was a positive influence from the historical programming concepts to the modern ‘programming’ concepts.
There are a few demands to fulfill in the modern computer science programming. When it comes to quality, efficiency, performance, reliability, robustness, usability, and portability are thought as the critical factors. If the software program code is neglecting these parameters, then it is not a properly writen software. For making the programmer’s life easy, there are many algorithms introduced and standardized. In addition to that, there are a number of methodologies introduced for making the computer science programming exercise easy. Based on the methodology, these programming languages are ideal for software development in deferent fields.
Tags: computer programming language, computer science programming, computer software program, efficiency performance, modern computer science, performance reliability, programming phase, software development life cycle, software source code, traditional software development