Research
Towards Optimized K Means Clustering using Nature-inspired Algorithms for Software Bug Prediction
Global Journal of Computer Science and Technology
May 20, 2023
In today's software development environment, the necessity for providing quality software products has undoubtedly remained the largest difficulty. As a result, early software bug prediction in the development phase is critical for lowering maintenance costs and improving overall software performance. Clustering is a well-known unsupervised method for data classification and finding related patterns hidden in datasets.
