BDD testing is an extension of Test-driven development (TDD). Like in TDD, BDD tests are written before writing and adding application code. The major difference that we get to see here are:
• Tests are written in plain descriptive English type grammar
• Tests are explained as behaviour of application and are more user focused
• Using examples to clarify requirements.
• Inclusion: BDD is meant to be collaborative. Everyone from the customer to the tester should be able to easily engage in product development. And anyone can write behaviour scenarios because they are written in plain language
• Clarity: Scenarios focus on the expected behaviours of the product.
• Automation: BDD frameworks make it easy to turn scenarios into automated test
• Test-Driven: BDD is an evolution of TDD
• Adaptability: BDD scenarios are easy to update as the product changes. Plain language is easy to edit. Modular design makes changes to automation code safe
There are various tools which support BDD like Cucumber, JBehave, SpecFlow etc. Here we are going to focus on Cucumber.
Cucumber is a free open source BDD tool originally written in Ruby programming language that runs automated tests. It keeps specifications, automated test scripts, and documentation in the same place. For a complex project, a team first writes the examples and then runs them in Cucumber.
Cucumber further tells you which ones are working, and which ones aren’t. It lets you define application behaviour in plain descriptive/meaningful English text using a simple grammar defined by a language called Gherkin. It can be used to “test” the code written in other languages like Java, Ruby etc.
• Writing BDD tests in an omnipresent language, a language structured around the domain model and widely used by all team members comprising of developers, testers, BAs, and customers
• Connecting technical with nontechnical members of a software team
• It allows direct interaction with the developer’s code, but BDD tests are written in a language which can also be made out by business stakeholders
• Finally, acceptance tests can be executed automatically, while it is performed manually by business stakeholders.
At Kiandra, we work closely with Product Owners to bridge the gap between their organisation’s needs and our delivery team’s technical expertise. This collaboration is crucial for keeping the project aligned to business goals, managing scope effectively, and ensuring value is delivered.
“How do we make sure our AI systems behave responsibly, not just accurately?” We get this question a lot. Usually after something has already gone a bit sideways. Here is the short answer: You build responsibility into AI from the very beginning. Guided by our B-Corp principles, we see responsible AI as a balance of purpose and effectiveness.
When working with clients in the earliest stages of a project, speed matters. The faster we can turn ideas into something visual, the sooner we can test assumptions, get feedback, and align on a direction. That’s where product ideation tools like Lovable come in.
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