Kodökning

Kodökning is a Swedish term that translates to "code mutation" or "code variation" in English. It refers to the process of modifying or altering existing computer code in a controlled manner. This can be done for various reasons, including testing software resilience, exploring alternative implementations, or generating diverse datasets for machine learning.

In the context of software testing, kodökning is often used to create slightly different versions of a program to assess how it behaves under various conditions. This can involve making small changes to the code's logic, syntax, or data structures. The goal is to uncover potential bugs or vulnerabilities that might not be apparent in the original code.

Another application of kodökning is in the field of artificial intelligence and machine learning. Researchers may use it to generate variations of training data, effectively increasing the size and diversity of the dataset. This can help machine learning models become more robust and generalize better to new, unseen data. It can also be used to explore different architectural choices or parameters within a model, leading to performance improvements.

The process of kodökning can be manual, where developers or testers directly edit the code, or automated, using specialized tools and algorithms. Automated kodökning can systematically generate a large number of code variations, making the testing or data generation process more efficient. The term is primarily used within the Swedish tech community.