Discussão

As software systems increasingly rely on complex business rules, conditional logic becomes one of the most failure-prone areas of code. Small changes in conditions can lead to unexpected outcomes, especially when multiple variables influence a single decision. This is often where traditional coverage metrics fall short, and modified condition decision coverage starts gaining attention among teams working on safety-critical, financial, or rule-driven applications.

Rather than focusing on how much code is executed, teams need confidence that individual conditions genuinely affect decision outcomes. Without this assurance, tests may pass while critical logic errors remain hidden. This challenge becomes more pronounced in environments where incorrect behavior can have serious downstream consequences, such as incorrect calculations, authorization failures, or faulty workflows.

When applied thoughtfully, deeper logic validation helps teams reason about risk, improve test effectiveness, and make informed trade-offs between coverage depth and maintenance effort—ultimately strengthening confidence in system correctness.