In software development, technical debt refers to the cost of rework due to taking shortcuts for quicker delivery. Similarly, testing debt arises when testing efforts are postponed, leading to long-term accrued costs in time, effort, or risk. It can result from limited test execution, improper test design, or inadequate infrastructure in manual and automation testing. Addressing test debt requires tracking, prioritizing, and planning automation strategies, including the use of AI-based tools. Mitigating testing debt ensures better software maintainability, improves test coverage, and minimizes long-term costs.

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