Test Driven and Behavior Driven Development-Overview and Principles

Overview of Test Driven Development

Software testing plays an important role in the life cycle of software development. It is imperative to identify bugs and errors during software development and increase the quality of the product.

Therefore, one must focus on software testing. There are many approaches and Test Driven Development approach is one of them.

TDD is the key practice for extreme programming; it suggests that the code is developed or changed exclusively on the basis of the unit test results.

 

Test Driven Development with Legacy Code

In simple words, a code without testing is known as legacy code. A big disadvantage of legacy code is that it’s not easily understandable (for both developments as well as the business team) and that is the only reason why it is difficult to change the code for new features.

Therefore, a code without tests is bad code. It is necessary to write code with tests for best productivity and easy modifications.

Why Test Driven Development-TDD?

3 Benefits of Test Driven Development

Let's take an example, assume that you write some code and then compile it and then test it and there may be chances of failure. In this case, it becomes easy to find and fix those defects if you've written two new lines of code as compared to if you’ve written a thousand lines of code.

What is Test Driven Development? 

Importance of Test Driven Development (TDD)

You May also Love to Read Test Driven & Behavior Driven Development in Scala


Acceptance Test Driven Development (ATDD) Overview

ATDD stands for Acceptance Test Driven Development. This technique is done before starting the development and includes customers, testers and developers into the loop.

These all together decided acceptance criteria and work accordingly to meet the requirements. ATDD helps to ensure that all project members understand what needs to be done and implemented. The failing tests provide us quick feedback that the requirement is not being met.

It is a collaborative practice where users, testers, and developers define automated acceptance criteria. ATDD helps to ensure that all project members understand precisely what needs to be done and implemented.

Failing tests provide quick feedback that the requirements are not being met. The tests are specified in business domain terms.

Each feature must deliver real and measurable business value: indeed, if your feature doesn’t trace back to at least one business goal, then you should be wondering why you are implementing it in the first place.

Why Acceptance Test Driven Development (ATDD)?

ATDD usually involves establishing the criteria firstmost often from a user perspective, and, acceptance tests are developed and run to see the results of failure with the right code based on examples. Customer need technical help. Developer and Tester to provide technical support. Pairwise authoring. Developers need business knowledge. Customer can provide business rules. Pairwise implementation.

3 Benefits of Acceptance Test Driven Development

When the whole team is involved in creating the requirements for the end goal, there is a lot more clarity on what the finished project should look like. No time is wasted on miscommunication, unmet expectations, or last minutes changes due to lack of understanding about the end user.

Importance of Acceptance Test Driven Development

If you use SCRUM and user stories to deliver your projects, chances are each of your user stories has many Acceptance Criteria associated with them. And, you’ll notice that each lowest level Acceptance Criterion represents a unit of a functional component that needs to be delivered before the user story can be marked ‘done’.

Benefits of Acceptance Test Driven Development (ATDD)


Behaviour Driven Development (BDD) Overview

Behaviour Driven Development is similar to Test Driven Development. In other words, Behaviour Driven Development is the extended version of Test Driven Development.

The process is similar to TDD. In this also, the code is first written in BDD and then production code. But, the main difference is that in BDD the test is written in plain descriptive English type grammar as opposed to TDD.

This type of development:-

The major benefit of BDD is that it can easily be understood by a non-technical person also.

Features of Behavior Driven Development

Behavior Driven Development (BDD) Approach

We believe that the role of testing and test automation TDD(Test Driven Development) is essential to the success of any BDD initiative. Testers have to write tests that validate the behavior of the product or system being generated.

The test results formed are more readable by the non-technical user as well. For Behavior Driven Development to be successful, it becomes crucial to classify and verify only those behaviors that give directly to business outcomes.

Developer in the BDD environment has to identify what program to test and what not to test and to understand why the test failed. Much like Test Driven Development, BDD also recommends that tests should be written first and should describe the functionalities of the product that can be suited to the requirements.

Behavior Driven Development helps greatly when building detailed automated unit tests because it focuses on testing behavior instead of testing implementation. The developer thus has to focus on writing test cases keeping the synopsis rather than code implementation in mind.

By doing this, even when the requirements change, the developer does not have to change the test, input, and output to support it. That makes unit testing automation much faster and more reliable.

Though BDD has its own sets of advantages, it can sometimes fall prey to reductions. Development teams and Tester, therefore, need to accept that while failing a test is a guarantee that the product is not ready to be delivered to the client, passing a test also does not mean that the product is ready for launch.

It will be closed when development, testing, and business teams will give updates and progress report on time. Since the testing efforts are moved more towards automation and cover all business features and use cases, this framework ensures a high defect detection rate due to higher test coverage, faster changes, and timely releases.

Features of Behavior Driven Development (BDD)

It is highly suggested for teams and developers to adopt BDD because of several reasons, some of them are listed below:


Differences Between BDD, TDD, and ATDD

BDD uses Ubiquitous language that can be easily understood by the developers and customers or stakeholders.

TDD is about writing tests to satisfy system requirements as outlined in the BRD, BDD encourages developers to write tests such that they reflect the behavioral expectations from the system of the stakeholders.

All three BDD, TDD and ATDD are closely related to each other. But neither can replace the other one as each one has its own merits and demerits.

BDD is more customer-focused than TDD and ATDD. This allows much easier collaboration with non-techie stakeholders than TDD.


Summary of Test Driven Development

Test-driven development(TDD) is a development technique where the big data engineering team should test all their components first before putting everything in production.

It will help us to prevent the issues in the production environment and keep the performance of our Big Data based solutions predictable. TDD gives a proven way to ensure effective unit and integration testing.

We believe that TDD is an incredible practice and that all software developers should consider during the deployment of Big Data Components and develop code for Big Data Solutions. 


How Can Don Help You?

Don follows the Test Driven Development Approach in the development of Enterprise level Applications following Agile Scrum Methodology.

Application Modernization means re-platforming, re-hosting, recoding, rearchitecting, re-engineering, interoperability, of the legacy Software application for current business needs. Application Modernization services enable the migration of monolithic applications to new Microservices architecture with Native Cloud Support including the integration of new functionality to create new value from existing application.

Develop, Deploy and Manage Agile Java Application on leading Cloud Service Providers - Google Cloud, Microsoft Azure, AWS, and Container Environment - Docker and Kubernetes.

Take a cloud-native approach to building Enterprise Applications for Web and Mobile with Microservices Architecture. An Application based on Microservices Architecture is Small, Messaging–enabled, Bounded by contexts, Autonomously developed, Independently deployable, Decentralized, Language–agnostic, Built and released with automated processes.