Development of the different paradigms

Limitations of the imperative paradigm

Difficulty with solving certain types of problems

• Computers were intitally designed to solve mathematicl problems
• Many real life probelms do not have definite answers or a variety of answers
• This means that strategies are not purely mathematical in nature meaning the imperative paradigm is not suitable

Need to specify code for every individual process

• The imperative paradigm requires that every part of the problem must be solved for the enitre produc to work
• With a different paradigm, not all methods must be described and testing can start occuring
• In this case, modification could take place without developers becoming involved

Difficulty of coding for variability

• Many problems solved by devlopers are similar in solution strategies
• The ability to reuse code is inherent in imperative paradigms however it is not integral
• It would be preferable if code could be used for similar problems without rewriting the code
• A paradigm that focuses on the ability to reproduce code for lsightly different problems would be beneficial

Emerging technologies

• First programmers had to programs in machine language
• Assembler languages was made to remove the programmer from technical aspects and focus on solving the problem
• Ever increasing speed of hardware has allowed languages to remove the programmer from the technical
• Computers are now evolved enough for different ways of viewing and solving the problems can be utilised

Simplifying the devlopment and testing of some larger software projects

• By using different paradigms to solve a problem will allow for the simplifying of the development and testing of the solution

Strengths of different programs

• A logic paradigm allows for the inference of different methods
• This allows for different parts of the product to be tested without the entire product to be working
• An object oriented paradigm will allow for the reuse of methods for different situations
• Object oriented also allows the simplification of the problems for a real world application