The ISTQB CT-AI syllabus (Section5.2 -- AI for Testing) explains that various AI approaches can support testing activities. Probabilistic methods---one of the three major AI technique groups---are used topredict system failures, especially when dealing with uncertainty, likelihood estimation, and reliability analysis. This aligns precisely with OptionB.

Option A is incorrect because regression test optimization is typically performed usingsearch-based optimization, not classification. Option C is incorrect because fuzzy logic is more suited to reasoning under vagueness, not generating test cases. Option D is incorrect: defect prediction relies on statistical learning or classification models, not computational optimization.

Thus,Option Bis the most syllabus-consistent mapping of AI techniques to testing tasks.