Acceptance Test-Driven Development is a software development methodology that combines elements of traditional Test-Driven Development (TDD) and Acceptance Testing.
Acceptance tests are written before the corresponding functionality in collaboration of team members that have different perspectives. These perspectives are:
- Customer
- Development
- Testing
The goal is that the tests serve as requirements, defining how the system will function, and whether it functions properly. Additionally, ATDD aims to improve communication and collaboration between different stakeholders in the software development process.
In ATDD, the development process starts with the creation of acceptance tests before writing the actual code. These acceptance tests are based on the expected behavior of the software as defined by the requirements. The acceptance tests serve as a formal agreement between the development team and the stakeholders about what the software should do.
Steps in the ATDD process
The ATDD process typically involves the following steps:
Understanding Requirements
The development team and stakeholders collaborate to understand and define the requirements for the software.
Writing Acceptance Tests
Based on the requirements, acceptance tests are written to describe the expected behavior of the software. These tests are written in a human-readable language that can be easily understood by both developers and non-developers.
Automating Tests
The acceptance tests are then automated, making them executable by a testing tool. This automation ensures that the tests can be run repeatedly and consistently.
Implementing Code
Developers write code to make the acceptance tests pass. The code is continuously refactored to improve its design and maintainability.
Running Tests
The automated acceptance tests are run regularly to verify that the code meets the specified requirements. If any tests fail, the development team must address the issues before proceeding.
Continuous Collaboration
Throughout the process, there is continuous collaboration between the development team and stakeholders to ensure that everyone has a shared understanding of the requirements and the expected behavior of the software.
When to use ATDD?
Acceptance Test-Driven Development (ATDD) is particularly useful in various scenarios where a clear understanding of requirements, collaboration between stakeholders, and a focus on delivering business value are essential. Here are situations where ATDD is commonly applied:
Unclear requirements
When the project involves requirements that are not well-defined or are subject to frequent changes, ATDD can help provide clarity and ensure that the development team is building features that align with stakeholder expectations.
Customer-Focused Development
When the focus is on delivering value to the end-users or customers, ATDD ensures that the development team and stakeholders are aligned on what constitutes valuable functionality. This customer-centric approach helps prioritize features that provide the most significant business impact.
Complex systems
In projects involving complex systems or intricate business logic, ATDD can be beneficial. It helps break down complex requirements into smaller, testable units, making it easier for development teams to implement and validate functionality incrementally.
Regression Testing
ATDD supports the creation of automated acceptance tests, which can serve as an effective regression testing suite. As the codebase evolves, these automated tests can quickly validate that new changes do not introduce unintended side effects or break existing functionality.
Continuous Integration/Continuous Delivery (CI/CD)
ATDD fits well in environments that embrace CI/CD practices. Automated acceptance tests can be integrated into the CI/CD pipeline, providing rapid feedback on the software's compliance with requirements and ensuring that releases meet the desired quality standards.
While ATDD offers benefits in these scenarios, it's essential to consider the specific needs and dynamics of each project. Teams should evaluate whether ATDD aligns with their development approach, team culture, and project requirements before deciding to adopt it.
Pros and Cons of ATDD
ATDD helps catch mistakes early by setting up tests before writing code. This makes the code more reliable and easier to modify later on. It encourages building the code in a way that's easy to test and update. Automated tests act as a safety net, allowing developers to improve the code without breaking existing features. Overall, ATDD makes the software more dependable and manageable in the long run.
Additionally, since ATDD philosophy is to foster collaboration between teams with different perspectives (developers and non-developers), it helps deliver software aligned with business needs.
However, implementing ATDD requires upfront investment in writing and maintaining acceptance tests, which may seem time-consuming. Teams may face challenges in creating effective, maintainable automated tests, and there can be resistance to the cultural shift required for close collaboration between developers and non-developers. Additionally, the overhead of managing a suite of automated tests may impact development speed.
Difference between ATDD, TDD and BDD
ATDD (Acceptance Test-Driven Development)
ATDD focuses on collaboration between developers, testers, and non-technical stakeholders to define and automate acceptance tests that represent the desired behavior of a system. These tests are written before the code and serve as a formal agreement on what the software should do. ATDD's primary goal is to ensure that the software meets the specified requirements and is acceptable to end-users.
Unlike TDD, which primarily involves developers, ATDD emphasizes a broader team involvement in defining acceptance criteria and creating executable tests, fostering a shared understanding of the software's expected behavior among all stakeholders.
TDD (Test-Driven Development)
TDD is a development methodology where developers write tests before writing the actual code. The process typically involves writing a failing test, implementing the minimum code required to pass the test, and then refactoring as needed. TDD is a developer-centric practice focused on ensuring code correctness, improving design, and promoting code maintainability.
Unlike ATDD, TDD is primarily concerned with the technical aspects of the code and does not necessarily involve non-technical stakeholders in test creation. It is more granular, with a focus on unit tests, and often applied during the coding phase rather than at the acceptance level.
BDD (Behavior-Driven Development)
BDD is a methodology that extends TDD by encouraging collaboration between developers, testers, and non-technical stakeholders to define and understand the expected behavior of a system using natural language specifications. BDD scenarios are typically written in a Given-When-Then format, making them accessible to both technical and non-technical team members. BDD tools, such as Cucumber or SpecFlow, facilitate the automation of these scenarios.
While ATDD and BDD share the emphasis on collaboration and specifying behavior in a readable format, BDD places a stronger focus on communication and collaboration with non-technical stakeholders.
BDD scenarios often serve as living documentation and bridge the communication gap between technical and non-technical team members more explicitly than ATDD or TDD.
What tools are used in ATDD?
Some of these tools include:
- Cucumber
- SpecFlow
- JBehave
- FitNesse
- Robot Framework
- Jira Xray
Naturally, the choice of tools often depends on the technology stack, programming languages, and preferences of the development team. Teams may use a combination of these tools based on their specific requirements and the nature of the project.
TDD example in C# .NET
Below is an example of a few basic steps of Acceptance Test-Driven Development (ATDD) in C# using SpecFlow, a popular BDD framework for .NET. The example will cover the scenario of adding two numbers:
Step 1: Write an Acceptance Test
Create a new SpecFlow feature file (e.g., Calculator.feature) and write the acceptance criteria using Gherkin syntax:
Step 2: Generate Step Definitions
Use SpecFlow to generate step definitions based on the feature file. Run this command in the terminal:
This will generate the step definition methods in a file named CalculatorSteps.cs.
Step 3: Implement Step Definitions
Open CalculatorSteps.cs and implement the step definitions:
Step 4: Run Tests
Now, run the SpecFlow tests to execute the acceptance test.
Conclusion
ATDD improves requirements clarity by involving non-technical stakeholders early in the process, reducing misunderstandings and enhancing collaboration. This proactive approach surpasses traditional testing methods by aligning development with explicit user expectations, resulting in more accurate and customer-focused software.
