What is behavior-driven development (BDD)? | Definition from TechTarget

"Behavior-driven development (BDD) is an Agile development methodology that documents, designs and develops software around the behavior a user expects to experience when interacting with an app. BDD extends the capabilities of test-driven development ( TDD) and acceptance test-driven development ( ATDD) by encouraging collaboration among stakeholders and writing plain-language scenarios that can be used as both executable tests and living documentation."

"The main advantage of BDD is that it improves communication and collaboration between stakeholders with different business priorities and/or levels of technical expertise. To help stakeholders understand an application's purpose and expected behavior, requirements are always expressed as real-world scenarios and are written in plain language. This approach reduces ambiguity and makes it easier for BDD teams to understand the scope of each Agile sprint from a user's perspective."

"Another benefit of BDD is that once a scenario has been written, it can be automated once and re-run many times in different contexts. This is important because it allows the same scenario to be used for documentation and testing in both stage and production environments. Focusing on user needs also helps to avoid code bloat. Because BDD requires each functionality to be backed by a behavioral requirement, teams can avoid scope creep and other issues that delay the software development lifecycle ( SDLC)."

Behavior-driven development defines, designs, and develops software around the behaviors users expect when interacting with an application. BDD builds on test-driven development and acceptance test-driven development by emphasizing collaboration among stakeholders and using plain-language scenarios. Scenarios serve as executable tests and living documentation that can be automated and reused across environments. The methodology focuses on delivering user value and meeting business needs through iterative sprints that accelerate issue discovery and resolution. Expressing requirements as real-world scenarios reduces ambiguity, aligns stakeholder understanding, prevents scope creep, and helps avoid unnecessary code bloat during the software development lifecycle.

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