TestCompass’ Post

Both 'early Model Based Testing' (eMBT) and Behaviour Driven Development’ (BDD), emphasizes collaboration between developers, testers, and business stakeholders by focussing on creating a common language that is easily understood by everyone involved, leading to a deep shared understanding. To achieve this in the BDD approach, a requirements discovery practice such as 'Feature mapping' or 'Example mapping' is often used. 💡 But did you know that in TestCompass it is possible to execute these collaborative requirements discovery practices. And after that you can easily convert the 'Feature map' or 'Example map' into a graphical model and automatically generate the minimum set coverage based Gherkin .feature files. Curious how this works in practice and what its benefits are? Read our blog "BDD requirements discovery practices supported by TestCompass 👇 https://lnkd.in/eCN8_rxy #bdd #MBT #eMBT #collaboration #communication #sharedunderstanding #easytouse #Gherkin #featurefile #scenarios #featuremapping #examplemapping #conversation #requirements #discovery #formulation #3amigos

🌟 Both 'early Model Based Testing' (eMBT) and 'Behaviour Driven Development' (BDD) share a common thread – the power of collaboration. They bring developers, testers, and business stakeholders together, speaking a common language that deepens shared understanding. 🔍 In BDD, techniques like 'Feature mapping' and 'Example mapping' are used for requirements discovery. But here's the twist: in TestCompass we turn these practices into action. You can execute these collaborative requirements discovery practices in TestCompass and then transform the Feature map or Example map into a graphical model. After that, you can automatically generate coverage based Gherkin .feature files directly from the easy to read graphical model. Curious to see this in action and understand its benefits? Dive into our blog on "BDD requirements discovery practices supported by TestCompass 👇 https://lnkd.in/eCN8_rxy #bdd #MBT #eMBT #collaboration #communication #sharedunderstanding #easytouse #Gherkin #featurefile #scenarios #featuremapping #examplemapping #conversation #requirements #discovery #formulation #3amigos #earlyfeedback #TestCompass

Behavior Driven Development (BDD) and Automation: Behavior Driven Development (BDD) is a collaborative approach to software development that emphasizes communication between developers, testers, and business stakeholders. By focusing on the behavior of the application from the end-user’s perspective, BDD ensures that all parties have a shared understanding of the requirements and expectations. Integrating BDD with automation testing can significantly enhance the quality and efficiency of your software development process. Here are some key benefits of combining BDD with automation: 1. Enhanced Collaboration: BDD fosters collaboration among team members, ensuring that requirements are well understood and correctly implemented. This leads to higher-quality software that meets user expectations. 2. Clear Specifications: Using tools like Cucumber and SpecFlow, BDD allows you to write test scenarios in plain language. These scenarios serve as both documentation and automated tests, bridging the gap between technical and non-technical stakeholders. 3. Early Bug Detection: By defining behaviors early in the development process, BDD helps in identifying and addressing issues sooner, reducing the cost and effort of fixing bugs later. 4. Reusable Test Scenarios: BDD scenarios can be reused across different stages of development and testing, ensuring consistency and saving time. 5. Improved Test Coverage: BDD encourages comprehensive testing of user behaviors, leading to more thorough test coverage and robust software. To effectively implement BDD with automation, consider the following best practices: 1. Define Clear Scenarios: Write clear and concise scenarios that describe the desired behavior of the application. Use the Given-When-Then format to structure these scenarios. 2. Choose the Right Tools: Select BDD tools that integrate well with your automation framework. Popular choices include Cucumber, SpecFlow, and Behave. 3. Automate Early and Often: Start automating BDD scenarios early in the development cycle and integrate them into your CI/CD pipeline to ensure continuous testing. 4. Maintain Scenarios: Regularly review and update BDD scenarios to reflect changes in requirements or application behavior. Keep your test suite maintainable and relevant. Behavior Driven Development (BDD) combined with automation testing provides a powerful framework for developing high-quality software that meets user needs. By fostering collaboration, improving communication, and ensuring comprehensive testing, BDD can transform your development process and deliver better outcomes. Are you using BDD in your automation testing strategy? Share your experiences and insights! Like, share, and comment with your thoughts! #bdd #behaviordrivendevelopment #automationtesting #softwaretesting #qualityassurance #cucumber #specflow #ci #cd #testautomation #softwaredevelopment #devops #collaboration #testingtools #agiledevelopment

BDD Testing vs. No Code Testing: The Future of Automation Testing Every testing approach brings its own set of advantages, but how do you know which one aligns with your project? While Behavior-Driven Development (BDD) has long been the go-to for fostering collaboration between technical and non-technical teams, No Code Testing is emerging as a faster, more accessible alternative. Here’s why: 🔍 BDD Testing uses natural language descriptions ("Given-When-Then") to define behavior. It ensures clarity and collaboration, but it comes at a cost—requiring deep coding knowledge, time-consuming setup, and specialized tools like Cucumber or SpecFlow. This makes it challenging for teams with limited technical skills or tight deadlines. 🔧 No Code Testing, on the other hand, offers similar capabilities without the complexity. With drag-and-drop functionality, pre-built templates, and no need for coding expertise, teams can automate tests more quickly and affordably. This approach empowers non-technical users to contribute directly to the testing process, reducing dependency on developers. While BDD shines in environments where fine-tuned behavior testing is critical, most BDD scenarios can now be handled with No Code e handled with No Code Testing—at a fraction of the time and cost. You can automate complex workflows, validate behavior, and maintain testing consistency without the steep learning curve. Here’s a quick comparison: Collaboration: BDD encourages communication across teams, but No Code Testing achieves the same without coding expertise. Speed: No Code Testing drastically reduces the time needed to write and execute tests. Cost: BDD's complexity often means higher costs due to development time, while No Code solutions streamline the process. In short, No Code Testing simplifies what BDD promises—allowing you to achieve your testing goals faster and with fewer resources. At Trailblu, we currently offer AI-powered no-code testing, helping teams scale test automation without the need for coding expertise. #NoCodeTesting #BDDTesing #TestAutomation #SoftwareQuality #AutomationTesting #AgileTesting #Cucumber #SpecFlow #SoftwareDevelopment

Unit testing, especially with Test-Driven Development (TDD), significantly enhances software quality and developer productivity: Enhances Code Quality: Tests written before code ensure fewer bugs and more reliable software. Drives Better Design: TDD promotes thoughtful, well-defined interfaces and adherence to design principles like SOLID. Facilitates Refactoring: A robust test suite allows for confident code refactoring without fearing regressions. Serves as Documentation: Tests clarify code functionality, aiding new developers in understanding the project quickly. Supports Agile Changes: With tests in place, adding features or refactoring becomes safer and simpler, ensuring software remains adaptable. In short, TDD not only streamlines the development process but also results in cleaner, more maintainable code. Embrace unit testing to reduce bugs, improve design, and accelerate development cycles! #SoftwareDevelopment #TDD #UnitTesting #PLC #automation

#Shift_left_testing One aspect of software quality improvement that many people may not be aware of is the concept of "shift-left testing." Shift-left testing refers to the practice of integrating testing activities earlier in the software development lifecycle, ideally starting from the requirements and design phase.   Traditionally, testing has been performed towards the end of the development cycle, often in the form of manual or automated testing conducted on a completed product. However, by shifting testing activities leftward in the development process, teams can identify and address defects earlier, leading to faster feedback loops, reduced rework, and ultimately, higher-quality software.   Shift-left testing involves practices such as:   Requirement Reviews: Reviewing and validating requirements to ensure they are clear, complete, and testable, helping to prevent misunderstandings and ambiguities that could lead to defects later on. Early Test Automation: Implementing automated tests early in the development process, such as unit tests and integration tests, to validate individual components and interfaces as they are being developed. Continuous Integration and Deployment (CI/CD): Setting up CI/CD pipelines to automatically build, test, and deploy code changes as they are made, allowing for rapid feedback and detection of issues. Peer Reviews and Pair Programming: Encouraging collaboration and code review among team members to identify issues and share knowledge, leading to higher-quality code and reduced defects. Test-Driven Development (TDD): Writing tests before implementing code, following the red-green-refactor cycle, to drive development and ensure that code meets specified requirements and behaves as expected. By adopting shift-left testing practices, organizations can foster a culture of quality throughout the development process, leading to more reliable, maintainable, and customer-centric software products. #SoftwareTesting #QA #SQA #QualityAssurance #SoftwareDevelopment #Quality #Agile #CI #CD #

### Testing Tip of the Day: Day 18 **Tip: Myths of Software Testing** 1. "Testing is just about finding bugs" Many believe the sole purpose of testing is to find bugs, but it also ensures the software meets requirements, performs well, and is user-friendly. Testing verifies functionality, security, and usability, contributing to the overall quality . 2. "Testers are responsible for software quality" This myth implies that testers alone ensure the software’s quality. In reality, quality is a shared responsibility among all stakeholders, including developers, business analysts, and product owners . 3. "Testing can find all defects" Complete defect detection is impossible. Testing can reduce the number of defects but can’t guarantee all are found. Factors like incomplete test coverage, tight schedules, and limited resources make 100% defect-free software unattainable . 4. "Automated testing eliminates the need for manual testing" Automation is useful for repetitive and regression tasks but doesn’t replace manual testing. Human insight is necessary for exploratory, usability, and ad-hoc testing, where creativity and intuition come into play . 5. "If a software passes tests, it is ready to release" A successful test doesn’t mean the software is perfect or fully ready. There could still be unseen edge cases, performance issues under high load, or usability challenges that weren't covered in testing . 6. "Developers don’t need to test their own code" Some developers assume testing is solely for testers. However, developers should write unit tests and perform code reviews. Early testing by developers ensures fewer bugs reach the testing phase . 7. "Agile doesn't require much testing" Agile emphasizes rapid iterations and constant feedback, but it doesn’t mean skipping tests. In fact, agile development requires more frequent testing to ensure each new iteration maintains product stability . These myths often lead to misunderstandings about the true role and value of testing, which plays a crucial part in delivering quality software. #QualityAssurance #SoftwareTesting #QA #TestAutomation #QualityControl #Testing #AgileTesting #ManualTesting #ContinuousTesting #TestManagement #ISTQB

I shared my thoughts on traditional test case writing for applications, highlighting the importance of incorporating exploratory testing and a data-driven approach to enhance testing effectiveness. I would appreciate your thoughts on this. Read More from here: https://lnkd.in/gBD3XFqU Also, you can read or write more articles on QA Brains. Link: https://qabrains.com/ #sqa #testcase #testing

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🔄 What is Shift-Left Testing & Why is It a Game Changer for Software Quality? 🚀 In today’s fast-paced development world, Shift-Left Testing is becoming a critical strategy to ensure higher quality software delivered faster. But what does “shift-left” actually mean? Shift-left testing refers to the practice of moving testing earlier in the development lifecycle—shifting left on the project timeline. Instead of waiting until the end of the development cycle to test, QA is involved from the very beginning, helping to catch defects early and improve overall quality. Why Shift-Left Testing Matters: 👉 Faster Feedback: By detecting issues early, you get quick feedback, which allows teams to address problems before they become costly. 👉Cost Efficiency: Fixing bugs early is cheaper than dealing with them after the product has been built. 👉Improved Collaboration: Developers and testers work closely together from the start, which promotes better communication and collaboration. 👉Better Product Quality: Continuous testing helps maintain high-quality code and ensures better user experiences. Key Practices for Successful Shift-Left Testing: 👉Involve QA early in the planning and design phases. 👉Automate testing wherever possible (unit tests, integration tests, etc.). 👉Use continuous integration (CI) and continuous delivery (CD) pipelines to test code frequently. 👉Leverage tools like Selenium, Jenkins, GitLab CI, and JUnit for automated testing in your CI/CD pipeline. Adopting a shift-left approach can dramatically improve efficiency, reduce defects, and accelerate delivery times. The earlier we catch issues, the easier they are to fix—leading to a faster, more reliable software delivery. #ShiftLeftTesting #QualityAssurance #SoftwareTesting #TestAutomation #DevOps #CI_CD #Agile #SoftwareDevelopment #QualityEngineering #Testing