What does robust mean in computer programming?

robust programs are designed to handle errors with a specific approach. It means that they are resilient, adaptive and fault-tolerant. When something goes wrong, the program will keep working. Robust programs will continue to work as long as it’s possible, and when that isn’t possible, they will inform you what broke and provide you with options.

What does robust mean in terms of computer programming?

robustness is the ability of a software system to function correctly in spite of errors in its design. Robust software is able to handle unexpected situations, continue to function properly, and return accurate results. Robust software is independent of its environment and is able to function correctly under different conditions. Robust software is designed to function correctly even if parts of the system fail or are damaged. Robust software is usually less complicated than nonrobust software, which makes it easier to understand and use.

What does robust do in computer programming?

Robustness is the ability of a system or program to continue operating correctly in the face of errors, especially unexpected or unusual errors. Robustness ensures that a program continues to function correctly even when something goes wrong. Robust software is not only fault tolerant, but it also keeps programs from crashing when some unexpected hardware fails.

What does robust really mean in computer science?

Robustness is the ability of a software to continue to function properly under unpredictable conditions or variations. When software is robust, it can deal with unexpected errors or software failures gracefully. Robust software is able to deal with problems that are not covered in its design and specification without crashing.

What does robust mean in the context of computer programming?

Robustness refers to the ability of a program or system to continue functioning correctly under normal or abnormal conditions. Robustness is one of the cornerstones of a good software design. Robustness in software is dependent on multiple factors including the quality of the underlying code, and the quality of the tests and documentation.