#tdd vs bdd
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amandeep01 · 9 months ago
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TDD vs BDD: Which One Should You Choose for Your Development Workflow?
In software development, the methodologies used to ensure the quality and functionality of code are evolving rapidly. Among the most widely discussed techniques are TDD (Test-Driven Development) and BDD (Behavior-Driven Development). Both approaches help teams improve the quality of software by providing a structure for testing code. However, understanding the key differences between TDD and BDD will help developers and testers decide which method best fits their workflow.
What is TDD (Test-Driven Development)?
Test-Driven Development, or TDD, is a software development process that relies heavily on writing tests before the actual code. This approach ensures that every piece of code is verified through automated testing from the start. The cycle typically follows three phases known as Red, Green, Refactor:
Red: Write a test that fails because the feature hasn’t been implemented yet.
Green: Write just enough code to pass the test.
Refactor: Refactor the code while keeping the test passing to ensure efficiency and readability.
TDD focuses primarily on the internal logic and structure of the application. It forces developers to think about the design and functionality at a granular level. This leads to higher-quality code, fewer bugs, and a more predictable development process.
However, one drawback of TDD is that it focuses solely on the developer’s perspective. The tests are technical and often do not capture the full user experience. This is where BDD can add value.
What is BDD (Behavior-Driven Development)?
Behavior-Driven Development, or BDD, expands upon the principles of TDD but focuses on the behavior of the system rather than the specific implementation details. BDD encourages collaboration between developers, testers, and non-technical stakeholders such as product owners or business analysts.
In BDD, tests are written in a more natural language that is easier to understand for non-technical members of the team. These tests are typically written in a Given-When-Then format:
Given some initial context,
When an action is performed,
Then an expected outcome occurs.
This makes BDD more user-centric than TDD, as it emphasizes the expected behavior of the application from the end user’s perspective. By focusing on user stories, BDD helps teams ensure that they are developing features that meet business requirements and align with user expectations.
Key Differences Between TDD and BDD
Focus:
TDD focuses on the correctness of the internal code.
BDD focuses on the behavior of the software as experienced by the end user.
Test Style:
TDD tests are more technical and detailed, often low-level unit tests.
BDD tests are written in natural language and are typically higher-level functional or integration tests.
Collaboration:
TDD is more developer-centric and less concerned with the needs of non-technical stakeholders.
BDD encourages collaboration among developers, testers, and business stakeholders.
Language:
TDD uses a programming language to write tests.
BDD uses a shared language between technical and non-technical team members, often in tools like Cucumber or SpecFlow.
TDD vs BDD: Which One Should You Choose?
Choosing between TDD and BDD depends on the specific needs of your project and your team. If you are focused primarily on code quality and low-level functionality, TDD might be the better option. It helps create a solid foundation of tested and refactored code, leading to fewer defects and a more maintainable codebase.
On the other hand, if you need to bridge the gap between developers and non-technical stakeholders, BDD can help. It ensures that the software behaves in a way that meets business requirements and user expectations, and it helps foster better communication between technical and non-technical team members.
Many teams actually combine both approaches. They might use TDD to ensure the internal code quality and BDD to validate that the system behaves correctly from a user perspective.
Conclusion
Both TDD vs BDD have their unique strengths, and the decision on which to use should depend on the needs of the project and the collaboration style of the team. TDD can help maintain a strong internal codebase, while BDD ensures that user and business needs are met. Understanding how to balance these two approaches can lead to more robust and user-friendly software.
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nitor-infotech · 16 days ago
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 BDD Explained Simply: Why It Matters in 2025  
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Ever feel like your product owner is speaking an ancient tongue while the developers are speaking a fictional language altogether - and QA’s just quietly panicking in the corner?  
That’s exactly the chaos that Behavior-Driven Development (BDD) was invented to avoid. If you’re wondering, “What is BDD?” think of it as the tech world’s version of couples' therapy. It gets everyone talking in the same language before the misunderstandings start costing money.  
Let’s see how we can define it. 
What is BDD? 
Behavior-Driven Development (BDD) is a collaborative approach that encourages teams to write requirements in plain language, often using the Given-When-Then format.   
This ensures that everyone, from developers to business analysts, shares a common understanding of the application's behavior. This understanding leads to more effective software testing and alignment with business goals.  
Now that we’ve nailed down the basics, let’s take a quick trip through how BDD has grown - and why it still matters today.    The Evolution of BDD 
Originally an extension of Test-Driven Development (TDD), BDD has grown to prioritize collaboration and clarity. While TDD focuses on writing tests before code, BDD emphasizes understanding the desired behavior before development begins. This shift has proven especially beneficial in complex projects where miscommunication can lead to costly errors.  
As BDD evolved, so did comparisons. Let’s clear the air on how BDD stacks up against its cousin, TDD. 
BDD vs. TDD 
Although improving code quality is the goal of both BDD and Test-Driven Development (TDD), their areas of emphasis are different. To guarantee functioning, TDD places a strong emphasis on writing tests before code, mostly through unit testing. BDD, on the other hand, centers on the application's behavior and promotes collaboration among all stakeholders.  
With the differences out of the way, it’s time to dive into the guiding principles that make BDD tick.    Key Principles of BDD 
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Behavior Specification: Define how the application should behave in various scenarios. 
Collaboration: Engage with all stakeholders in the development process. 
Plain Language: Use understandable language to describe requirements, reducing ambiguity. 
Understanding the “why” behind BDD helps us appreciate the real-world value it brings to modern development teams.    Benefits of BDD Today 
Improved Communication: By using a shared language, BDD enhances understanding among team members. 
Culture of Collaboration: Writing scenarios together fosters teamwork and shared ownership. 
User-Centric Development: Focuses on delivering features that provide real value to users. 
Early Issue Detection and Reduced Ambiguity: Identifies potential problems before coding begins. 
Automated Testing: Integrates seamlessly with tools like Cucumber and SpecFlow for efficient automated testing in software testing. 
Faster Feedback: Provides immediate insights into the application's behavior, accelerating development cycles. 
Enhanced Customer Satisfaction: Ensures the final product aligns with user expectations, boosting satisfaction. 
But let’s be real - no approach is perfect. Here’s what to watch out for when implementing BDD.    Challenges and Considerations 
While BDD offers many benefits, it's not without challenges: 
Potential Verbosity: Writing detailed behavior specifications can be time-consuming. 
Tool Complexity: Integrating BDD tools into existing workflows may require a learning curve. 
Learning Curve: It could take some time for teams to get used to new procedures and tools. 
Maintenance: Keeping scenarios up to date requires ongoing effort. 
However, with proper training and adoption strategies, these challenges can be mitigated. 
Of course, the right tools can make or break your BDD journey. Take a look at what’s in the toolbox in the next section.    Popular Tools in BDD 
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The following are popular tools in BDD: 
Cucumber: A popular tool with multilingual support 
SpecFlow: Tailored for .NET environments 
Behave: Suitable for Python projects 
JBehave: Designed for Java applications 
Now that you know the tools, let’s see how BDD plays out across a typical development lifecycle. 
BDD Lifecycle 
The BDD lifecycle unfolds like this: 
Discovery: Collaboratively identify desired behaviors. 
Formulation: Write scenarios in plain language. 
Automation: Implement tests using BDD tools. 
Validation: Execute tests and make adjustments in response to input. 
BDD isn’t just about writing tests. It’s about aligning your team, your code, and your users. In 2025, with increasingly complex systems and shorter release cycles, it’s your secret weapon for building software that doesn’t just “work,” but works well - for everyone. 
What’s more, anything that means fewer awkward retro meetings is worth a try, right? 
Want to build smarter, faster, and with fewer bugs? Explore Nitor Infotech’s product engineering services! Let’s turn your brilliant ideas into equally brilliant products!  Contact us today! 
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katyslemon · 4 years ago
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TDD vs BDD vs ATDD — Developers’ Methodologies to Navigate Complex Development Processes Smoothly
Introduction
The last decade in the history of humanity can be easily called the technological revolution. The pandemic made it starker than ever before. The developers need to keep pace with the new languages, frameworks, tools, and processes that come into being every second.
To write code is a developer’s second nature. But, what code to write; how to write it; when to write it; and for what purpose may easily overwhelm even the most experienced and expert developers when it is raining new codes and processes day in and day out.
This constant flux can be easily navigated through the structured methodologies that focus on the task of the developers. Such methodologies anchor developers and their creations. Major development methodologies include TDD vs BDD vs ATDD, TDD stands for Test-driven Development , BDD stands for Behavior-driven Development (BDD), and ATDD stands for Acceptance Test-driven Development (ATDD).
Let us explore each in this post.
Test-driven Development (TDD)
Test-driven development method is about developing test cases before the developers start writing code. These test cases are essentially small units as per the requirements of the entire software.
The idea is to continually and consistently test the code against these test cases through the “red green refactor loop” until a stipulated unit is absolutely ready to be a part of the whole scheme.
One of the original authors of the Agile development manifesto, Robert C Martin has set forth three rules for TDD which are famously known as The Three Laws of TDD. They are:
1. You must write a failing test before you write any production code. 2. You must not write more of a test than is sufficient to fail, or fail to compile. 3. You must not write more production code than is sufficient to make the currently failing test pass.
The essence of these laws is to write the bare minimum code for the specific feature so that it passes the testing cycle successfully. The reason behind this exercise is to keep the codes clean and precise as much as possible at the unit level itself.
The best part of the TDD methodology is it allows the developers to experience the failure at the outset of the development. This helps them rule out all the possible flaws that may arise during the course of the development. And, that gets them the very exact code that is required for the exact expected software.
Major characteristics of TDD
Test-driven development promotes short development cycles for each unit to get finally added into the entire design of the software. Its major characteristics are:
Writing of the simplest and the shortest of the code possible that passes the unit test.
Restructuring the code that does not demand any alteration either in the functional or certain non-functional attributes of the entire software.
Advanced planning that often saves time during coding and debugging and brings about greater customer satisfaction and better performance.
Behavior-driven Development (BDD)
Behavior-driven development (BDD) is a higher version of TDD. This method tests if all the units of the application function as per the requirement of the entire application design.
In this extended version of TDD, a higher-level test which is often called functional test is created to rule out unnecessary code writing requirements for the maximum functionality of the application.
Having written the feature-failing test, the developers then test prototypes to obtain feedback on early failure and finally write the minimum code to get the correct application function at the maximum capacity. They keep writing this code until it passes the functional test.
GWT: BDD’s syntax
The acceptance test in BDD is created by defining the user story. All the developers, testers, QAs, experts, and product managers get together to review the requirements of each user story. They brainstorm and define a certain standard of each user story that has to be fulfilled.
The team uses Gherkin language to write the examples of user stories. The domain specific language Gherkin with its specific syntax exploits this approach of GWT which stands for Given-When-Then. They are:
Given: An actual scenario or the platform for the user to take the test, or username and password or entering of credentials by the user
When: The actual action that the user performs or pressing of the login button by the user
Then: The outcome of the action that the user performed in previous stage or sending the user to the home screen or the display of successful validation message.
Major Characteristics of BDD
Emphasis on defining user stories clearly so as to fulfill the requirements of each of them.
Reusability of the tests
Use of non-programming language to make the code accessible to all the stakeholders in the development process.
Focus on language and interactions.
Acceptance Test-driven Development (ATDD)
ATDD may come across as a combination of both TDD and BDD. However, the focus of this technique is on meeting the demands of users as against on getting the exact expected behaviour in the previous two techniques. This method is also called Story Test-driven Development (STDD).
The Acceptance Test-driven Development method gets together diverse stakeholders such as customers, developers, and testers. It is very important that all these stakeholders share common understanding of the user stories and their requirements in simple plain language which can be then transformed into programming language to write automated acceptance tests. For this, ATDD can draw upon BDD’s GWT approach.
Read more for TDD vs BDD vs ATDD
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krishparkar-blog · 5 years ago
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Cypress vs Selenium
Cypress vs Selenium
From the vast list of automation testing tools available in the market, we will contend the two most promising tools that are contemplated as game-changers.
So here’s the million-dollar question: Whether Cypress is better than or a substitute for the most preferred web automation tool – Selenium?
This article will do an in-depth comparison to show how both tools serve the purpose of automation testing and which tool has the upper hand in different circumstances.
Let’s look at a few points that will help you make the call:
In a Nutshell
Cypress (latest release 4.11.0) is a next-generation front-end testing tool built for the web. It is a JavaScript-based end-to-end testing framework built on top of Mocha and Chai.
Selenium (latest release 4.0.0 Alpha 5) is an open-source tool used for automating the tests on web browsers. The Selenium WebDriver drives a browser natively; either locally or on remote machines and it is used for UI automation testing. Similarly, all the other components have a specific role to perform in terms of making the product more reliable and robust.
How it Works
Cypress executes in the same run loop as application. Behind Cypress is a Node.js server process. Cypress and the Node.js process constantly communicate, synchronize, and perform tasks for each other. Cypress also operates at the network layer by reading and altering web traffic during processing. This enables Cypress to not only modify everything that emerges from the browser but also to change code that may interfere with its ability to automate the browser.
In Selenium, once we run the automation script in Selenium then the Selenium client library will communicate with Selenium API that will send the command taken from language level binding to browser driver with the help of JSON wire protocol. The browser driver will use the HTTP server for getting the HTTP request and the HTTP Server filter out all the commands that require execution. After that, the commands in your Selenium script executes on the browser and HTTP server sends the response back to the automation test script.
Based on their internal working architecture, we can say that Selenium executes remote commands through the network whereas Cypress runs in the same run-loop as your application.
Installation
In Cypress there’s no configuration, just need to install the .exe and all the drivers and dependencies get automatically installed and configured. This allows automation to be set up to get running in minutes. One of the design principles of Cypress was to be able to package and bundle everything together to make the entire end-to-end testing experience pleasant and simple for developers.
To use Selenium in your automation project you need to install the language binding’s libraries for your language of choice. Besides, you will need WebDriver binaries for the browsers you want to automate and run tests on.
So if we take installation time and complexity into consideration then Cypress has the upper hand as compared to Selenium.
Languages Supported
Cypress only supports JavaScript. No other languages support provided, which sometimes forces the user to learn a particular scripting language.
On the other hand, Selenium supports wide range language: Java, C#, Python, Ruby, R, Dart, Objective-C, Haskell, PHP, and JavaScript.
Due to the support of many languages, Selenium comes handy and gives users the privilege to decide the language they want to use to develop an automation framework.
Cross-browser Support
Cypress supports Canary, Chrome, Chromium, Edge, Edge Beta, Edge Canary, Edge Dev, Electron, Firefox (Beta support), Firefox Developer Edition (Beta support), Firefox Nightly (Beta support).
Selenium supports almost all major browsers in the market, which is an added advantage for Selenium. Below is the list of supported browsers: Chrome(All versions), Firefox(54 and newer), Internet Explorer(6 and newer), Opera(10.5 and newer), Safari(10 and newer)
Selenium has better cross-browser support as compared to Cypress because Selenium gives support to almost all available browsers available in the market whereas Cypress you can’t test on Safari.
Parallel Execution of Test Automation Suite
Cypress falls behind when compared to Selenium in parallel testing.
Selenium has many options to perform parallel execution which is quite important for automation testing. Selenium component Grid is used widely for parallel execution in the QA community with TestNG. And it can be easily integrated with Docker containerization.
Performance
Cypress doesn’t have as many layers of architecture as Selenium. It operates on the same process in the browser. That is why we see a remarkable improvement in the pace of test execution compared to Selenium.
Selenium is relatively slow compared to Cypress as it has several layers of code running between the test and the browser.
Integration of Automation with CI/CD
Cypress: Possible but with restrictions. Only one option is available and that is by using the command line and the npm library – Mocha. The CI service has to support npm and test recording on the CI server is a paid option for most of the recordings.
Selenium: Possible to perform integration of CI/CD. We can use any testing library, test reports, and execution patterns and can easily adjust it to the needs.
Licensing
Cypress is also released as open-source under the MIT license. But if we compare it to Selenium then all the features provided by Cypress are not free, e.g. the dashboard in Cypress is free for Seed but paid for Sprout, Tree, and Forest. ( https://www.cypress.io/pricing)
Selenium is licensed under the Apache 2.0 license, with the Software Freedom Conservancy as the copyright holder
OS Support
Cypress: Windows, Mac, Linux
Selenium: Windows, Linux, Mac, Android, iOS
BDD and DataDrivenTesting SupportSelenium supports BDD and data-driven by using external libraries, but as of now which is quite not possible to do in Cypress.Locators for Object Identification
Cypress supports only CSS and Xpath.
Support all types of locators for a normal web application like ID, Name, XPath, CSS selectors, link text, partial link text, etc.
Execution Report
Selenium: Allure, Extent, and all other dashboards can be integrated into automation suites.
Cypress: Only Cypress Native Dashboard.
The Verdict
Selenium targets more towards the test automation engineer while Cypress is more developer-centric and aims to improve TDD development.
Selenium was developed in 2004 so it has better community support then Cypress which was developed in 2015 and still in the growing phase. In-fact when we work with the browser using Selenium it is possible to manipulate many options like Cookie, Local Storage, Screen, Sizes, Extensions, Command-line options but Cypress can only help to manipulate Network options.
However, some of the selling points, which Cypress claims, are:
It can take snapshots of the application when the tests are running. Then as a test developer, we can hover over each command in the Test Runner panel to see what happened at each step.
With Cypress, there is no need to put explicit waits or sleeps to your tests. It automatically waits for commands and assertions before proceeding.
Similar to unit test cases, you can verify and control the behavior of functions, server responses, or timers at run time using the spies and stubs provided by Cypress. Using Cypress, you can stub network traffic as you like and customize the response of your API calls as per your need.
Hope the above points will help to decide which tool to use for automation testing and on that note keep exploring.
Referred Docs:
Cypress
Selenium
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tvsnext · 2 years ago
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How to transition from manual to automated testing and why you should do it now
Testing is an essential part of software development, and it can significantly impact the success of a project. While manual testing is still widely used, it has become increasingly important to automate the testing process to ensure quality and efficiency. In this blog post, we will explore the reasons for transitioning from manual to automated testing and provide tips on how to do it effectively.
Before embarking on our journey from manual to automated tests, it is essential to remember that “100% automation is impossible to achieve”.
Why you should transition to automated testing
Tips for successful automated testing
ROI and roadmap
A detailed ROI and roadmap need to be prepared on what percentage of cost/effort savings, quality improvements, and risk mitigation can be achieved once automated tests are implemented.
When we say automation, we refer to front-end and back-end testing like performance testing, sophisticated scenarios, and API test automation. 
Once the stakeholders are convinced of the benefits of automated tests, a detailed roadmap should be drawn out, involving effort estimates and prioritization.
Choosing suitable candidates for automation
The tests that tick most of the characteristics like
can be considered suitable candidates for our automated test bed.
Choosing the right approach (TDD vs. BDD)
While Test Driven Development (TDD) has some benefits, such as reduced rework time and faster feedback, Behaviour Driven Development (BDD) – implemented using tools such as Cucumber, provides better visibility of the tests to non-technical business stakeholders. The reason is that Cucumber’s feature files are written in plain English using keywords such as Given, When, and Then.
At TVS Next, we encourage our clients to go for the BDD approach, as we can clearly map the scenarios in terms of features to ensure better test coverage.
Choosing the proper tool/framework
Choosing the proper framework is mainly driven by the platform under test (Mobile/Web/API).
For web testing, we can choose from an array of frameworks such as Selenium, Cypress, Playwright, WebdriverIO, and TestCafe.
Some of the available options for mobile testing are Appium, Espresso, and XCUI Test.
For API automation, we can choose from various tools such as REST-Assured, K6, and Locust. These, in turn, can also serve as our load/performance tools.
At TVS Next, we encourage our Clients to go for futuristic frameworks such as Cypress and Playwright, which are much more stable and involve much less framework setup time than Selenium.
Build customized test suites
It is always better to have customized test suites such as:
Code quality and best practices
Similar to the best practices in development, it is essential to set up the environment to perform collaborative coding and ensure best practices in testing, such as
are implemented to avoid spending large efforts on code maintenance.
Implement DevOps – CI/CD Pipeline
Implementing CI/CD pipeline for our automated tests have advantages such as:
Faster smoke testing times – to provide feedback to Developers in case of critical failures/environment downtimes
Improved fault detection
Better communication with stakeholders via automated emails
Faster Mean Time To Resolution (MTTR)
Conclusion
By following the above-mentioned step-wise approach, we can move from manual to automated testing and achieve benefits such as:
In conclusion, transitioning from manual to automated testing can be challenging. But with careful planning and the right tools, it can be a successful transition that leads to improved software quality.
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naveenhomestuff · 3 years ago
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k933167h · 3 years ago
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BDD와 TDD의 차이
출처: https://www.geeksforgeeks.org/difference-between-bdd-vs-tdd-in-software-engineering/ 1. 행위 주도 개발(Behavior Driven Development, BDD) :행위 주도 개발(BDD)은 소프트웨어 애플리케이션의 행위에 더 초점을 맞춘 개발 기술입니다. 주로 해당 기능이 없기 때문에 실패하는 실행 가능한 설계서을 만든 다음 설계서을 통과할 수 있는 가장 간단한 코드를 작성하고 결과적으로 시스템에서 필요한 동작을 구현합니다. 실제로 개발자가 참여하는 개발 관행입니다. BDD 프로세스 : 애플리케이션의 행위 작성자동화 스크립트 작성기능 코드 구형동작이 성공했는지 확인하고 성공하지 않았으면 수정한다.코드 구성 (선택…
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TDD vs BDD vs ATDD — Developers’ Methodologies to Navigate Complex Development Processes Smoothly
Introduction
The last decade in the history of humanity can be easily called the technological revolution. The pandemic made it starker than ever before. The developers need to keep pace with the new languages, frameworks, tools, and processes that come into being every second.
To write code is a developer’s second nature. But, what code to write; how to write it; when to write it; and for what purpose may easily overwhelm even the most experienced and expert developers when it is raining new codes and processes day in and day out.
This constant flux can be easily navigated through the structured methodologies that focus on the task of the developers. Such methodologies anchor developers and their creations. Major development methodologies include TDD vs BDD vs ATDD, TDD stands for Test-driven Development , BDD stands for Behavior-driven Development (BDD), and ATDD stands for Acceptance Test-driven Development (ATDD).
Let us explore each in this post.
Test-driven Development (TDD)
Test-driven development method is about developing test cases before the developers start writing code. These test cases are essentially small units as per the requirements of the entire software.
The idea is to continually and consistently test the code against these test cases through the “red green refactor loop” until a stipulated unit is absolutely ready to be a part of the whole scheme.
One of the original authors of the Agile development manifesto, Robert C Martin has set forth three rules for TDD which are famously known as The Three Laws of TDD. They are:
1. You must write a failing test before you write any production code. 2. You must not write more of a test than is sufficient to fail, or fail to compile. 3. You must not write more production code than is sufficient to make the currently failing test pass.
The essence of these laws is to write the bare minimum code for the specific feature so that it passes the testing cycle successfully. The reason behind this exercise is to keep the codes clean and precise as much as possible at the unit level itself.
The best part of the TDD methodology is it allows the developers to experience the failure at the outset of the development. This helps them rule out all the possible flaws that may arise during the course of the development. And, that gets them the very exact code that is required for the exact expected software.
Major characteristics of TDD
Test-driven development promotes short development cycles for each unit to get finally added into the entire design of the software. Its major characteristics are:
Writing of the simplest and the shortest of the code possible that passes the unit test.
Restructuring the code that does not demand any alteration either in the functional or certain non-functional attributes of the entire software.
Advanced planning that often saves time during coding and debugging and brings about greater customer satisfaction and better performance.
Behavior-driven Development (BDD)
Behavior-driven development (BDD) is a higher version of TDD. This method tests if all the units of the application function as per the requirement of the entire application design.
In this extended version of TDD, a higher-level test which is often called functional test is created to rule out unnecessary code writing requirements for the maximum functionality of the application.
Having written the feature-failing test, the developers then test prototypes to obtain feedback on early failure and finally write the minimum code to get the correct application function at the maximum capacity. They keep writing this code until it passes the functional test.
GWT: BDD’s syntax
The acceptance test in BDD is created by defining the user story. All the developers, testers, QAs, experts, and product managers get together to review the requirements of each user story. They brainstorm and define a certain standard of each user story that has to be fulfilled.
The team uses Gherkin language to write the examples of user stories. The domain specific language Gherkin with its specific syntax exploits this approach of GWT which stands for Given-When-Then. They are:
Given: An actual scenario or the platform for the user to take the test, or username and password or entering of credentials by the user
When: The actual action that the user performs or pressing of the login button by the user
Then: The outcome of the action that the user performed in previous stage or sending the user to the home screen or the display of successful validation message.
Major Characteristics of BDD
Emphasis on defining user stories clearly so as to fulfill the requirements of each of them.
Reusability of the tests
Use of non-programming language to make the code accessible to all the stakeholders in the development process.
Focus on language and interactions.
Acceptance Test-driven Development (ATDD)
ATDD may come across as a combination of both TDD and BDD. However, the focus of this technique is on meeting the demands of users as against on getting the exact expected behaviour in the previous two techniques. This method is also called Story Test-driven Development (STDD).
The Acceptance Test-driven Development method gets together diverse stakeholders such as customers, developers, and testers. It is very important that all these stakeholders share common understanding of the user stories and their requirements in simple plain language which can be then transformed into programming language to write automated acceptance tests. For this, ATDD can draw upon BDD’s GWT approach.
Major characteristics of ATDD
Writing of user-centric acceptance tests
Improved communication and understanding between the teams in plain language
Improved code quality and specific tests in business domain terms
Facilitating quick feedback through failing tests
Reduction in time to market
Read More about the differences of TDD vs BDD vs ATDD
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reportwire · 4 years ago
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TDD vs BDD: What's the Difference?
TDD vs BDD: What's the Difference?
TDD vs BDD: What&#039s the Difference? Resource connection
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freeudemycourses · 4 years ago
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[100% OFF] JUnit 5, Mockito, PowerMock, TDD, BDD & ATTD
[100% OFF] JUnit 5, Mockito, PowerMock, TDD, BDD & ATTD
What you Will learn ? Learn specifics of JUnit 5 (Jupiter) Learn API of the most popular Mock Framework – Mockito JUnit 5 VS JUnit 4 Adanced knowledge of PowerMock API Testing level: unit & integration How to execute tests from Eclipse Test-driven development (TDD) Behavior-driven development (BDD) Acceptance test-driven development Real-life examples and reviews Test code coverage Course…
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glensmith088 · 5 years ago
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Cypress vs Selenium
From the vast list of automation testing tools available in the market, we will contend the two most promising tools that are contemplated as game-changers.
So here’s the million-dollar question: Whether Cypress is better than or a substitute for the most preferred web automation tool – Selenium?
 This article will do an in-depth comparison to show how both tools serve the purpose of automation testing and which tool has the upper hand in different circumstances.
Tumblr media
Let’s look at a few points that will help you make the call:
In a Nutshell
Cypress (latest release 4.11.0) is a next-generation front-end testing tool built for the web. It is a JavaScript-based end-to-end testing framework built on top of Mocha and Chai.
Selenium (latest release 4.0.0 Alpha 5) is an open-source tool used for automating the tests on web browsers. The Selenium WebDriver drives a browser natively; either locally or on remote machines and it is used for UI automation testing. Similarly, all the other components have a specific role to perform in terms of making the product more reliable and robust.
 How it Works
Cypress executes in the same run loop as application. Behind Cypress is a Node.js server process. Cypress and the Node.js process constantly communicate, synchronize, and perform tasks for each other. Cypress also operates at the network layer by reading and altering web traffic during processing. This enables Cypress to not only modify everything that emerges from the browser but also to change code that may interfere with its ability to automate the browser.
In Selenium, once we run the automation script in Selenium then the Selenium client library will communicate with Selenium API that will send the command taken from language level binding to browser driver with the help of JSON wire protocol. The browser driver will use the HTTP server for getting the HTTP request and the HTTP Server filter out all the commands that require execution. After that, the commands in your Selenium script executes on the browser and HTTP server sends the response back to the automation test script.
Based on their internal working architecture, we can say that Selenium executes remote commands through the network whereas Cypress runs in the same run-loop as your application.
Installation
In Cypress there’s no configuration, just need to install the .exe and all the drivers and dependencies get automatically installed and configured. This allows automation to be set up to get running in minutes. One of the design principles of Cypress was to be able to package and bundle everything together to make the entire end-to-end testing experience pleasant and simple for developers.
To use Selenium in your automation project you need to install the language binding’s libraries for your language of choice. Besides, you will need WebDriver binaries for the browsers you want to automate and run tests on.
So if we take installation time and complexity into consideration then Cypress has the upper hand as compared to Selenium.
Languages Supported
Cypress only supports JavaScript. No other languages support provided, which sometimes forces the user to learn a particular scripting language.
On the other hand, Selenium supports wide range language: Java, C#, Python, Ruby, R, Dart, Objective-C, Haskell, PHP, and JavaScript.
Due to the support of many languages, Selenium comes handy and gives users the privilege to decide the language they want to use to develop an automation framework.
Cross-browser Support
Cypress supports Canary, Chrome, Chromium, Edge, Edge Beta, Edge Canary, Edge Dev, Electron, Firefox (Beta support), Firefox Developer Edition (Beta support), Firefox Nightly (Beta support).
Selenium supports almost all major browsers in the market, which is an added advantage for Selenium. Below is the list of supported browsers: Chrome(All versions), Firefox(54 and newer), Internet Explorer(6 and newer), Opera(10.5 and newer), Safari(10 and newer)
Selenium has better cross-browser support as compared to Cypress because Selenium gives support to almost all available browsers available in the market whereas Cypress you can’t test on Safari.
Parallel Execution of Test Automation Suite
Cypress falls behind when compared to Selenium in parallel testing.
Selenium has many options to perform parallel execution which is quite important for automation testing. Selenium component Grid is used widely for parallel execution in the QA community with TestNG. And it can be easily integrated with Docker containerization.
Performance
Cypress doesn’t have as many layers of architecture as Selenium. It operates on the same process in the browser. That is why we see a remarkable improvement in the pace of test execution compared to Selenium.
Selenium is relatively slow compared to Cypress as it has several layers of code running between the test and the browser.
Integration of Automation with CI/CD
Cypress: Possible but with restrictions. Only one option is available and that is by using the command line and the npm library – Mocha. The CI service has to support npm and test recording on the CI server is a paid option for most of the recordings.
Selenium: Possible to perform integration of CI/CD. We can use any testing library, test reports, and execution patterns and can easily adjust it to the needs.
Licensing
Cypress is also released as open-source under the MIT license. But if we compare it to Selenium then all the features provided by Cypress are not free, e.g. the dashboard in Cypress is free for Seed but paid for Sprout, Tree, and Forest. ( https://www.cypress.io/pricing)
Selenium is licensed under the Apache 2.0 license, with the Software Freedom Conservancy as the copyright holder
OS Support
Cypress: Windows, Mac, Linux
Selenium: Windows, Linux, Mac, Android, iOS
BDD and DataDrivenTesting Support
Selenium supports BDD and data-driven by using external libraries, but as of now which is quite not possible to do in Cypress.
Locators for Object Identification
Cypress supports only CSS and Xpath.
Support all types of locators for a normal web application like ID, Name, XPath, CSS selectors, link text, partial link text, etc.
Execution Report
Selenium: Allure, Extent, and all other dashboards can be integrated into automation suites.
Cypress: Only Cypress Native Dashboard.
The Verdict
Selenium targets more towards the test automation engineer while Cypress is more developer-centric and aims to improve TDD development.
Selenium was developed in 2004 so it has better community support then Cypress which was developed in 2015 and still in the growing phase. In-fact when we work with the browser using Selenium it is possible to manipulate many options like Cookie, Local Storage, Screen, Sizes, Extensions, Command-line options but Cypress can only help to manipulate Network options.
However, some of the selling points, which Cypress claims, are:
It can take snapshots of the     application when the tests are running. Then as a test developer, we can     hover over each command in the Test Runner panel to see what happened at     each step.
With Cypress, there is no need to put     explicit waits or sleeps to your tests. It automatically waits for     commands and assertions before proceeding.
Similar to unit test cases, you can     verify and control the behavior of functions, server responses, or timers     at run time using the spies and stubs provided by Cypress. Using Cypress,     you can stub network traffic as you like and customize the response of     your API calls as per your need.
Hope the above points will help to decide which tool to use for automation testing and on that note keep exploring. If you have any questions or suggestions email us at [email protected] or visit the Cloud QA website.
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impactqa · 6 years ago
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Is Katalon Studio the Best Software Testing Tool of 2020?
Test automation has become a crucial part of the software industry. The automated testing tool supports testers to simply the tricky and strenuous task of the testing with the minimum script. However, it is recommended that software testers compare several tools to select the best one meeting their test automation requirements.
Just like technologies, software testing tools continue to evolve, making cost a crucial factor in tool selection. Non-commercial and open-source tools, on the flip side, do not incur extra charges but demand expertise and effort for integrating new upgrades. It is difficult to find the expertise and support required for integrating several tools and test automation frameworks into open-source solutions. But emerging tools like Katalon, offer a feasible alternative to both open-source and commercial automated testing solutions and can easily integrate with open-source test automation frameworks.
Katalon Studio is truly a powerful automation tool that brings more intelligence to the complete automated test process. Along with TestComplete, Ranorex, Selenium, and Apache JMeter, more and more testing engineers opt for Katalon Studio. The platform facilitates running automated tests for APIs, Web interfaces, and mobile apps (Android and iOS), provides test recording, and analysis reports.
Overview of Katalon Studio Tool
 Katalon Studio is a test automation platform that offers broad features to implement entire automated testing solutions for API, mobile, and web. Putting on the tester’s favorite list, katalon studio eliminates the complexities of building an automation framework by integrating all essential test components with built-in keywords and project templates. 
It comprises full feature set for a complete automated test process covering different platforms and test types. New users can easily commence test automation using its simple-to-use interface and the intelligent playback and record engine while advanced users can design and execute test strategies realizing DevOps or CI best practices. The tool can easily support various testing technologies (TDD or BDD, Page Object Model, Data-Driven Testing, etc.) and integrate with the modern ALM systems (qTest, JIRA, Katalon Analytics, CI, Slack, etc.). Katalon Studio test automation tool supports parallel testing with several browsers, and you can also make use of it with remote service providers like Browser Stack or SauceLabs.
Features
Free tool
Supports varied types of testing
Automated mobile and web testing
Integrated with CI or DevOps workflow
Intuitive analytics dashboard and reports
User-friendly GUI
Wide toolset and integrations
Mild learning curve plus learning materials
Support web API testing
Ability to create quick automation tests
Running cross-browser testing
Recording and play-in
Get out-of-the-box integrations with Jenkins Jira and a set of test management tools.
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Its user-friendly interface acts as a wrapper over the Appium and Selenium libraries. It also gives manifold ways to create a test case. So, you might wonder about what rewards you get from katalon studio vs appium or katalon studio vs selenium. The answer is both Appium and Selenium are simply API libraries, not software testing tools. You need to program functionality from scratch to form a framework using these libraries. However, Katalon Studio does all this heavy lifting. Hence, you get an out of the box test automation framework already generated for you.
For Instance, You Can:
Programmatically create a test in the scripting mode with the aid of Groovy or Java
Use the keyword-driven approach, which allows you to craft a test case where you select actions and data and keep on adding up rows to generate a test case
Record or playback a script using their build-in record or playback feature
You can also insert external jar dependencies if you have a third-party Java library you want to use
Katalon Studio Review–Is It Better Than Other Test Automation Tools?
According to a recent World Quality Report released by Sogeti, the significant criteria to be considered for test automation tools selection is “the focus on delivering quality at speed and supporting frameworks such as agile and DevOps to deliver much greater results and take QA and testing to the next level”.
Katalon Studio has recently been listed as one of the best UI test automation tools by Microsoft Testing Services of Microsoft Developer. This is a notable recognition and some research also confirms why Katalon Studio has been considered the powerful free automation tool by the QA and software testing community. To quote Katalone, “Katalon Studio is a robust automation solution for your mobile testing projects.” Testing a humble mobile application to intricate test cases, one requires a versatile tool like this that can perform it all.
Katalon Studio is one of the good choices for small and medium businesses. Katalon offers technical and aesthetic advantages to match. It’s an evolving tool with integrations that allow you to cover a range of testing with a single tool. It is easy to use and free. Specialists with varied QA roles and different programming skills can use it, making it a smart solution for tester teams. Overall, Katalon offers a user-friendly experience with less effort.
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P.S. We are always happy to read your comments and thoughts ;)
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jobsaggregation2 · 6 years ago
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Software Engineer
Software Engineer C# Full-Time Opportunity US Citizen or GC Holder, LinkedIn id is mandatory for submission Client is a global hedge fund with more than 2,800 employees and offices in North America, Europe and Asia. Our Client pursue a global multi-strategy approach to investing, seeking to achieve above-average risk-adjusted returns. Our global investment strategies include: Relative Value Fundamental Equity, Statistical Arbitrage, Fixed Income, Merger Arbitrage, Futures/Currency, and Options among others. The talent and dedication of our people are critical to our success. Our Client offer an opportunity for developing one’s professional career while working with individuals trained in a variety of disciplines in a collegial and dynamic environment. We also offer a broad range of competitive benefits on a global basis. Job Function Summary The Treasury Technology team at our client is responsible for creating the systems required by the Treasury, Counterparty Risk, and Treasury Operations Departments. These systems cover Margin, Cash and Collateral Management, Treasury Operations, and Equity Finance; they are used across the firm by a range of users including Treasury analysts, Front Office users, Portfolio Managers, and Senior Management. Principal Responsibilities Work across a global technology organisation to solve business problems Face off to global business stakeholders to drive requirements and manage projects Own delivery timelines for Treasury applications and projects Qualifications/Skills Required 5+ years experience working in Technology 3+ years of relevant experience working in FinTech; must have familiarity with Capital Markets concepts and operational structure Recent ownership of one or more large software systems and experience managing end-to-end application life cycle Performed Build vs Buy analysis in conjunction with business users and technology peers. Good problem solving and analytic skills Proven ability to thrive in a dynamic, fast-paced environment; self-starter, energetic, independent work ethic Strong written and verbal communication skills 5+ years of hands on programming experience with an understand of: Object Oriented Programming Design patterns Service Oriented Architecture Concurrency SOLID principals Hands-on .NET experience, including, but not limited to: C# F# ASP.NET MVC ASP.NET WEB API Hands-on Javascript experience, including, but not limited to: JQuery Ember/Angular/React/Backbone/Knockout Experience with enterprises databases, including but not limited to: MS SQL Server Sybase Oracle Experience working with continuous delivery tools Automated Testing (TDD/BDD etc.) Continuous Integration Optional Experience Experience with message or service oriented architectures Experience building/enhancing SDLC and Agile development methodologies: Teamcity Git / GitHub Octopus Deploy Reference : Software Engineer jobs from Latest listings added - JobsAggregation http://jobsaggregation.com/jobs/technology/software-engineer_i6413
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naveenhomestuff · 3 years ago
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nox-lathiaen · 6 years ago
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Software Engineer
Software Engineer C# Full-Time Opportunity US Citizen or GC Holder, LinkedIn id is mandatory for submission Client is a global hedge fund with more than 2,800 employees and offices in North America, Europe and Asia. Our Client pursue a global multi-strategy approach to investing, seeking to achieve above-average risk-adjusted returns. Our global investment strategies include: Relative Value Fundamental Equity, Statistical Arbitrage, Fixed Income, Merger Arbitrage, Futures/Currency, and Options among others. The talent and dedication of our people are critical to our success. Our Client offer an opportunity for developing one’s professional career while working with individuals trained in a variety of disciplines in a collegial and dynamic environment. We also offer a broad range of competitive benefits on a global basis. Job Function Summary The Treasury Technology team at our client is responsible for creating the systems required by the Treasury, Counterparty Risk, and Treasury Operations Departments. These systems cover Margin, Cash and Collateral Management, Treasury Operations, and Equity Finance; they are used across the firm by a range of users including Treasury analysts, Front Office users, Portfolio Managers, and Senior Management. Principal Responsibilities Work across a global technology organisation to solve business problems Face off to global business stakeholders to drive requirements and manage projects Own delivery timelines for Treasury applications and projects Qualifications/Skills Required 5+ years experience working in Technology 3+ years of relevant experience working in FinTech; must have familiarity with Capital Markets concepts and operational structure Recent ownership of one or more large software systems and experience managing end-to-end application life cycle Performed Build vs Buy analysis in conjunction with business users and technology peers. Good problem solving and analytic skills Proven ability to thrive in a dynamic, fast-paced environment; self-starter, energetic, independent work ethic Strong written and verbal communication skills 5+ years of hands on programming experience with an understand of: Object Oriented Programming Design patterns Service Oriented Architecture Concurrency SOLID principals Hands-on .NET experience, including, but not limited to: C# F# ASP.NET MVC ASP.NET WEB API Hands-on Javascript experience, including, but not limited to: JQuery Ember/Angular/React/Backbone/Knockout Experience with enterprises databases, including but not limited to: MS SQL Server Sybase Oracle Experience working with continuous delivery tools Automated Testing (TDD/BDD etc.) Continuous Integration Optional Experience Experience with message or service oriented architectures Experience building/enhancing SDLC and Agile development methodologies: Teamcity Git / GitHub Octopus Deploy Reference : Software Engineer jobs Source: http://jobrealtime.com/jobs/technology/software-engineer_i6799
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tuyetthienduong · 6 years ago
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