Enhanced Multi-Verse Optimizer (TMVO) and Applying it in Test Data Generation for Path Testing

Data testing is a vital part of the software development process, and there are various approaches available to improve exploration all possible code paths. This study introduces two contributions. Firstly, an improved version Multi-verse Optimizer called Testing Multi-Verse (TMVO) proposed, which takes into account movement swarm mean best solutions in universe. The particles move towards optimal solution by using mean-based algorithm model, guarantees efficient exploitation. Secondly, TMVO applied automatically develop test cases for structural data testing, particularly path testing. Instead automating entire focus on centralizing automated procedures collecting data. Automation generating becoming increasingly popular due high cost manual generation. To evaluate effectiveness TMVO, it was tested well-known functions as well five programs that presented unique challenges results indicated performed better than original MVO majority functions.