Software Optimization


In AppliedIT, the development of Quality Software is as important as its continuous optimization.


We dedicate a lot of time optimizing and seeking greater efficiency and ultimately the excellence of our products.


In function of the project and the client, it may be necessary to use a combination of approaches to address Software Optimization.


A well-designed code allows us to optimize on designed time and makes it easier for later modifications to improve performance to be carried out with the minimum possible change and effort. In this case, the SOLID principles, a mnemonic acronym introduced by Robert C. Martin are often helpful:


  • S – Single Responsibility Principle (SRP)
  • O – Open/Closed Principle (OCP)
  • L – Liskov Substitution Principle (LSP)
  • I – Interface Segregation Principle (ISP)
  • D – Dependency Inversion Principle (DIP)


The objectives that we target are to create effective software which fulfils its mission and that is robust and stable. Write a clean and flexible code that can be easily modified in the face seeking reuse and maintenance. It allows scalability so that future expansions through the inclusion of new functionalities can be carried out in an agile way.


The final objective is to develop Quality Software focused on the needs of the client and the project.


In conclusion, optimizing software can be a complex task that presents a scenario where different approaches can be applied. To fulfill customer expectations, it is very important to consider approaches and see how they can help the project execution to best perform in achieving its objectives.