How can you automate quality assurance testing for continuous integration and delivery?

IMO, Selenium, JUnit, TestNG to automate unit, integration, system, regression tests. Shift testing left and implement test pyramid. Prioritize risk areas to test. Start small then expand scope. Invest in test infrastructure. Maintain tests to keep pace with evolving code. Address challenges like flaky tests, costly infrastructure needs. Promote testing culture across teams. Collaborate on defining scope. Monitor via reporting. Automate pipelines end-to-end. Balance speed with stability. Aligned people, process and tools enable automated testing to speed up feedback, improve quality and prevent regressions.

Automating QA testing in CICD involves selecting appropriate tools like Selenium or JUnit and developing modular tests covering different aspects of the application. Storing these tests in the same version control system as the code ensures consistency. Integration with CI/CD tools such as Jenkins or GitLab CI enables automatic triggering of tests on code changes, with parallel execution for faster feedback. Maintaining consistent test environments using tools like Docker is crucial, and continuous monitoring tools like Prometheus provide visibility into application performance. Cross-browser and cross-platform testing, security checks (OWASP ZAP), and performance testing (Apache JMeter) contribute to a comprehensive testing strategy.

Agree with all of the existing posts - shift left, automate everything, integrate test automation into your pipelines. My +1 here would be to encourage you to consider how you can shift Security Testing and Performance Testing left as well. Integrate these into your builds as well and you will save yourself cycles later retrofitting for findings. Fortify and JMeter can plug in to your CI framework (Stack Overflow can show the way). For both of these tests they won't be 100% of comprehensive Security and Perf/Load testing you will want to do, but they are great for catching low hanging fruit in a rapidly iterated lifecycle.

My experience CI/CD is not just a set of tools; it’s a mindset shift, crafting a development ecosystem where speed and quality coexist seamlessly.

CI/CD is more about being shippable all the time. It serve the purpose of automating the critical time consuming but not relevant deployment tasks so that team can focus on the important business aspects of the delivery. It also improves "continuous" nature of delivery work flow and enable to build continuous confidence across the delivery of software. Enables regression each and every micro commit if required so that team can isolated issues facilitating continuous feedback.

Automating QA for CI/CD speeds up development with rapid, consistent feedback. Triggered by commits, tests swiftly catch bugs, ensuring early issue resolution. This efficiency allows frequent releases without compromising quality, excelling at regression testing. Consistency is maintained, optimizing resources and seamlessly integrating into the CI/CD pipeline. Automated tests scale effortlessly, handling a growing number of scenarios. Despite upfront costs, the long-term benefits include savings, faster time-to-market, and a continuous feedback loop fostering improvement. In the dynamic CI/CD environment, automation enhances speed, reliability, and software quality.

Automating QA within CI/CD pipelines is a pivotal step toward achieving efficiency and quality in software development. 1. Select and invest in test automation frameworks that align with your project's requirements. 2. Optimize test suites to strike a balance between comprehensive coverage and execution speed 3. Collaboration between development, testing, and operations teams to build a shared understanding of testing objectives and expectations. 4. Embrace a culture of continuous improvement by regularly assessing and refining your test automation strategies.

Once the Automation scripts are built and pushed, the code is in a repository; instead of running the test manually, CI/CD pipelines would help to configure automatic triggers. Therefore, it can be hooked at every release of Test, UAT, and PREPROD, which means we can control the quality. Once the pipeline runs are completed we can set up an automatic email sent to relevant teams.

Automation in the CI Pipeline is early feedback and helps software engineers get first feedback already after pushing to VCS, and not later in the process during manual testing. This can help engineering to iterate and adjust early as soon as possible.

Automating QA testing within a CI/CD pipeline is very important. It brings a rapid feedback loop, catching bugs early and preventing them from sneaking into production. Consistent, automated tests reduce risk and improve quality, ensuring smoother releases. This helps in reaching features to users faster, while lowering burden on development teams. Overall, it fosters collaboration and shared responsibility for quality, making the entire development process more efficient and effective.

To automate QA testing for CI/CD, follow these steps: 1. Define testing strategy and goals. 2. Select suitable tools and frameworks. 3. Design and write test cases and scripts. 4. Integrate testing tools with CI/CD pipeline. 5. Run tests in parallel across environments. 6. Monitor and analyze test results. 7. Optimize and maintain the test suite.

In order to automate QA testing for CI/CD, Identify your Test strategy and create your test suite having an effective test coverage, Use any of the automation tools to create End-to-end regression scripts (Ruby, Selenium, Tosca), Integrate the test scripts with CI/CD pipeline using Jenkins, Concourse or Harness, Configure remote machines for parallel execution, Integrate Splunk for dashboard results to view from Cloud platform, Trigger the pipeline execution via API. Monitor the results from Splunk.

Automating QA testing for CI/CD involves integrating automated testing into your CI/CD pipeline to ensure that every code change is automatically tested before being deployed. Define Test Strategy, Select Testing Tools, Version Control Integration, Continuous Integration (CI) Configuration, Automate Integration Tests, Automate UI Tests, Performance Testing, Test Data Management, Continuous Deployment (CD) Configuration, Environment Configuration,Parallel Test Execution, Artifact Management, Monitoring and Reporting, Feedback Loop, Iterate and Improve

Para automatizar pruebas en CI/CD, yo suelo seguir estos pasos: 1. Definir Estrategia y Objetivos: Establezca objetivos y una estrategia de prueba. 2. Seleccionar Herramientas: Elija herramientas y marcos adecuados. 3. Dise?ar y Escribir Casos: Dise?e y escriba casos de prueba. 4. Integrar con CI/CD: Integre herramientas de prueba con CI/CD. 5. Ejecutar en Paralelo: Ejecute pruebas en paralelo en distintos entornos. 6. Monitorear y Analizar: Supervise y analice resultados de pruebas. 7. Optimizar y Mantener: Mejore y mantenga el conjunto de pruebas.

1. Choose framework based on your application's technology stack. 2. Develop unit tests, integration tests, and end-to-end tests. Focus on critical functionality and user workflows. 3. Store automated tests alongside the application code in the version control system - Ensures synchronization 4. Utilize CI tools to automate builds and testing on every code commit. Configure to initiate tests automatically. 5. Optimize test execution time by running tests in parallel. 6. Ensure test data is controlled and reset for each test run. 7. Integrate automated tests into the deployment pipeline and run before and after deployment 8. Security Testing: Integrate security testing tools into your CI/CD pipeline - identify vulnerabilities early

Streamlining QA testing in the CI/CD infrastructure demands a balance of efficiency and adaptability. Automated tests offer swift issue detection and timely feedback, optimizing parallel execution and robust frameworks. However, challenges emerge in managing dynamic environments and handling flaky tests. As a tester, I've learned the importance of adaptability and prioritizing thorough test coverage. Collaborative efforts foster a culture of quality, yet it's essential to address challenges promptly. The journey involves refining strategies for streamlined testing in the ever-evolving CI/CD landscape.

Agile teams often face challenges such as managing test data and environments, handling dependencies and integrations, balancing speed and quality, dealing with flaky and unstable tests, scaling and updating the test suite, and measuring and improving the test performance and value.

Automatizar pruebas para CI/CD presenta los siguientes desafíos: 1. Gestión de Datos y Entornos: Coordinar datos de prueba y entornos es complejo. 2. Manejo de Dependencias: Coordinar dependencias e integraciones es desafiante. 3. Equilibrio Velocidad y Calidad: Encontrar el equilibrio entre velocidad y calidad es constante. 4. Pruebas Inestables: Tratar con pruebas inestables es complicado. 5. Escalado y Actualización de Pruebas: Escalar y actualizar pruebas es un desafío continuo. 6. Medición y Mejora del Rendimiento: Medir y mejorar el valor de las pruebas es esencial.

Automating QA testing for CI/CD is intricate, involving planning, coordination, and ongoing refinement. Agile teams grapple with challenges such as test data and environment management, dependency handling, finding a balance between speed and quality, addressing issues with flaky tests, scaling and updating test suites, and assessing and enhancing test performance and value.

Los desafíos más importantes, en mi experiencia, son: - Estar en control de la prueba: cuando dependemos de sistemas externos o datos que no podemos garantizar su presencia o validez, perdemos el control del contexto necesario para la ejecución - Lograr que las pruebas se ejecuten rápido: es muy fácil introducir demoras, como por ejemplo cuando tenemos excesivo acoplamiento con la base de datos - Que sea fácil mantener las pruebas: esto incluye un apropiado uso de las tecnologías elegidas, utilizar buenas prácticas de programación, prestar especial atención a los nombres elegidos - Que las aserciones sean precisas y completas, que prueben todas las postcondiciones que puedan ocurrir Recomiendo leer Test Desiderata, de Kent Beck

Certainly in my learning, here are some best practices for automating QA testing for CI/CD: 1. Early Test Inclusion: Begin testing early in the development cycle to catch issues sooner. This ensures that defects are identified and addressed at an early stage, reducing the cost and effort of fixing them later. 2. Comprehensive Test Suite: Develop a comprehensive suite of automated tests to cover different aspects of your application, including unit tests, integration tests, and end-to-end tests. This provides a thorough evaluation of the software's functionality. 3. Use of dynamic test data: Make sure to use dynamic test data or separate data file to update it according to the changes.

1. Use API-first approach. Automate API test cases before moving to UI. 2. Cover as many cases as possible in API automation and try to have 100% automation stability so no manual intervention is required. 3. For UI automation, cover cases where UI is more or less stable as UI automation is trickier and having 100% UI automation is not feasible in most cases. 4. Use tools like sonarqube etc. to calculate code coverage / test coverage in all repos - Dev + QA. 5. Have explicit brainstorming sessions to identify edge cases for new features, to avoid surprise failures in production. 6. Bug bashes help for huge and complex programs where multiple services / changes are involved.

If you have tests, they need to be passing at or very near to 100%. Effectively, you need to be investigating all of your failures. The moment you start down the path of letting failures go uninvestigated, you lose most of the value of even having test cases. What would a “95% pass rate” even mean, if not looked into? It could mean those same ten cases are failing that always do, it could mean a new set of tests are failing, it could mean a few of your flaky tests didn’t pass (this time), it could mean your configuration is broken, it could mean someone changed a test case, it could mean that a feature changed and your tests didn’t keep up…and more. Don’t invest in tests if you aren’t prepared to keep your pass rate VERY high,

Al automatizar pruebas para CI/CD, sigue estas prácticas clave: 1. Alinea pruebas con objetivos y expectativas. 2. Prioriza pruebas con un enfoque de pirámide. 3. Aplica estándares y usa control de versiones. 4. Utiliza marcos y bibliotecas para reutilizar código. 5. Adopta TDD o BDD para escribir pruebas temprano. 6. Ejecuta pruebas en cada etapa de CI/CD. 7. Utiliza herramientas que admitan pruebas entre plataformas y ofrezcan funciones de autorreparación. 8. Revisa y refactoriza regularmente el código de prueba. 9. Documenta y comparte resultados e información de pruebas. 10. Involucra a partes interesadas y usuarios en el proceso de prueba. Estas prácticas garantizan una automatización efectiva y entrega continuas exitosas.

Automation is key for regression. We can automate only the features which are stable. It is good to have important test cases for doing smoke test through CI. It is also important to limit overall test time to a smaller amount too.

Establishing a system for continuous monitoring and instant feedback. This includes integrating monitoring tools into the pipeline, enabling immediate detection and notification of issues as soon as they arise during testing. Incorporating performance testing into the CI/CD process. Automating performance tests has allowed my teams to detect and address performance bottlenecks early in the development cycle, ensuring the software maintains high performance standards. Employing data-driven testing techniques to automatically run tests with various sets of input data. This method, which I've implemented using tools like Apache JMeter, has been crucial in validating application behaviour under different scenarios.

The use of the term "Quality Assurance" in this article is misleading. The article would be improved by just omitting every instance of "QA" and just discussing testing. Automated testing is important for CI/CD to know that certain aspects of the deployed service are working as expected. But QA is a process for evaluating the quality of something being produced, and for evaluating the effectiveness of the process that produced it. Automated tests can also be useful in a QA process, but they are different tests with different goals than what's needed for CI/CD.

Shift Left with BDD and TDD: Implement Behavior-Driven Development (BDD) and Test-Driven Development (TDD) to incorporate testing early in the development cycle. This shift left approach ensures bugs are caught and addressed sooner, reducing costs and speeding up development Mindset Shift: Transition from a focus on finding all bugs to preventing them. This proactive approach involves designing systems and writing code in ways that minimize the likelihood of bugs occurring in the first place Adjust the Testing Pyramid: Move away from a heavy reliance on end-to-end tests towards a greater focus on unit tests. Unit tests are quicker to execute and easier to maintain, allowing for more frequent and thorough testing within the CI/CD pipeline.

CI/CD is an integral part of DevOps. It brings some value But when we enhance this setup by including CT(continuous Testing), the outcomes increase exponentially. To test continuously n efficiently we think of automation. So automation should not focus on removal of manual effort completely rather emphasises on doing repetitive tasks efficiently with the right blend of tech and expertise. Identify tasks, right tech with help of experience n plan right. A few critical points to be considered while automating. - Scope of automation - Limitation of env n data - App stability So my two cent will be don’t just automate everything, automate only that part which brings the right ROI, and include the necessary tests into the pipeline.

O pipeline em ci/cd é a melhor maneira para realizar os testes hoje em dia, a figura do QA funcional que acaba ficando responsável por todo e qualquer erro que aconte?a no software ou o vil?o que aponta o dedo para os desenvolvedores falando que algo está errado está completamente ultrapassado.