ITECH5403 : Language Design Essay - Developer Fine-Grained Control - IT Computer Science Assignment Help

Assignment Task :

Topic Overview 

Since the development of Plankalkül back in the 1940s, a large number of programming languages have been  designed and implemented - each for its own specific problem domains and made with its own set of design  decisions and compromises. For example, there are languages which: 

• Are strongly typed and loosely typed, 

• Provide support for object orientation / abstraction of data types, 

• Use static or dynamic scoping rules, 

• Provide memory management (i.e. garbage collection) or allow the developer fine-grained control  over heap-allocation and recycling, 

• Provide closures to allow functions to be passed around like variables, 

• Allow easy access to array slices and those which do not, 

• Perform internal correctness checking of data and/or try/catch exception handling and those  which do not, 

• Provide diverse and comprehensive suites of built-in functionality and those with a more limited set  of features, 

• Use pre-processors and macros to selectively expand or substitute source code, etc. 

Each of these decisions can have a profound effect on the usefulness of a programming language in terms of  factors such as its speed, robustness and general suitability to create programs of a certain type, such as for  operating systems, or in the areas of business, scientific computation, artificial intelligence or video games. 

The topic of your essay is to design a programming language for the problem domain of: Scientific Computations 

• Scientific computations are used to simulate real-world activities using mathematical  models. 

• This is mainly achieved through the analysis of mathematical models  implemented on computers. 

• Virtually any objects with known characteristics can be modelled and simulated.

• Simulations use enormous calculations and often require supercomputer speed.  

• As personal computers became more powerful, laboratory experiments can be converted into computer models that can be interactively examined by researchers without the risk and cost of the actual experiments. 

• It’s worth thinking about the aspects of a programming language designed for  scientific applications in terms of a number of features, including: 

• Performance; 

• Data types and structures; 

• Maintenance / Reliability of code; and 

• Security requirements. 

With this in mind your task is to theoretically design a language suitable for the use within the scientific calculations domain. 

The actual implementation of the language and tool set is obviously outside the scope of this course, but you  must express and justify the design decisions behind your programming language in terms of: 

• The features and functionality that will allow your language to be suitable and useful within the problem  domain (including what differentiates it from existing languages), 

• The programming paradigms, such as procedural, object oriented, logic and functional programming.  

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