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How Functional Programming Languages Improve Reliability

Functional languages such as Haskell, Elixir, F#, and Scala are built around the principle that programme composition is best accomplished through composed methods of combining pure functions rather than shared-state methods of programming. As a result, functions within the functional programming paradigm behave much like mathematical functions; every input will produce the same output and the function will not produce any other consequences—that is, it does not have side effects. As such, functional programming's ability to guarantee that a programer has predictability in how a programme will function makes it an attractive choice when developing a system that requires high levels of reliability and correctness and where tests are easy to create and perform.

Functional programming encourages programmers to approach solving problems differently than traditional methods. Programmers using functional programming will create programmes by composing a series of functions together rather than updating variables. This results in a reduction of bugs caused by inadvertent changes in the state of a variable and allows for concurrent execution of multiple operations without having one operation interfere with another.

The ability to develop large-scale systems using the principles of immutable data flow, separation of code, and modular design, combined with the challenges of adapting to the ever-changing demands for performance and quality, has resulted in more and more software developers becoming familiar with and proficient in functional programming in order to take advantage of the benefits that functional programming provides in the long term.