What are the most effective ways to improve testing accuracy and speed with automation?

The first step to improve testing accuracy and speed with automation is to understand what problem are we trying to solve. Clarifying what accuracy and speed means to us, what problems are we seeing and what are the reasons for them will guide us towards the next stages of choosing better tools and processes.

Para melhorar a precis?o e a velocidade dos testes com automa??o: Priorize os testes críticos. Divida os testes em módulos reutilizáveis. Execute testes em paralelo sempre que possível. Escolha ferramentas adequadas de automa??o. Automatize os testes de regress?o. Utilize dados de teste realistas. Implemente monitoramento e relatórios automatizados. Integre os testes ao processo de CI/CD. Essas estratégias garantem eficiência e qualidade no processo de desenvolvimento de software.

Boosting testing accuracy and speed through automation involves strategic approaches. Prioritize test case selection based on critical functionality. Implement parallel testing to expedite execution across various environments. Leverage automation frameworks for modular and reusable test scripts. Integrate continuous testing into the development pipeline for real-time feedback. Regularly update test scripts to align with application changes. Invest in skilled automation engineers for efficient script development. These measures enhance testing precision and velocity, ensuring a robust and agile software development lifecycle.

Me parece un buen inicio la selección de herramientas de pruebas. Sin embargo, en mi experiencia me ha sido muy útil tener un abanico de skills técnicos de IT y desarrollo de software. Esto puede permitir la adaptabilidad de los diferentes componentes de la automatización, es decir, entornos, plataformas, tecnologías, objetivos a automatizar, costes, soporte, etc. Si tenemos los skills necesarios, podemos cubrir cualquier necesidad de automatización logrando precisión y velocidad en los requerimientos. Lo cual impacta directamente en la curva de aprendizaje, costos y soporte, derivados de la implementación para lograr las automatizaciones Estoy totalmente de acuerdo, en delimitar el tipo y el alcance de las pruebas.

From my view, To enhance testing accuracy and speed with automation: Focus on critical areas first for test coverage. Follow the test pyramid principle: prioritize unit tests. Choose robust automation frameworks like Selenium or Appium. Execute tests in parallel to reduce time. Integrate tests into CI/CD pipelines for automatic execution. Use data-driven testing and test data generation. Isolate tests to prevent dependencies and side effects. Employ mocking frameworks for external dependencies. Monitor test results and performance metrics regularly. Maintain and update test suites regularly for alignment.

Drafting a clear and precise document gathering all the test scenarios to be tested is a mandatory requirement to ensure smooth and correct tests (UAT). The document should list all the possible scenarios and exceptions the solution might navigate, with the list of expected results and all the other info regarding the test cases (e.g. attributes, number, piece of code referring to). This is a live document, therefore in case of further development to the solution or changes, it must be updated and used as a starting point for the following round of tests.

Creo que las ideas, tareas, pros y contras para el dise?o y mantenimiento de scripts de pruebas convergen totalmente en tener un buen abanico de skills técnicos.

Sin duda un excelente elemento, indispensable para establecer métricas, estándares, nomenclaturas, robustecimiento de la automatización. Esto podria permitir que se abarquen pruebas de regresión en caso de ser necesarias, también permite obtener escalabilidad, evitar obsolescencia, agilizar pruebas y reutilizar componentes.

By making the testing an integral part of whole process one can avoid slippages. In my experience, it works best when testing happens simultaneously as the product gets formed in real time. This also helps to reduce the cost of non-conformance. This will generate early comprehensive reports with clear insights into test results and trends.

I completely agree with the article on how to monitor the results of tests. Running the test of an automation (UAT), is the moment of truth for each solution implemented. If the work done in the design and development phase was correct, the testing phase will run smoothly and won't have any issue. If tests are reliable, they will also provide useful information on metrics of the automation once in production environment such as execution time, benefit delivered, total number of error, etc.

Optimize the testing process for efficiency, reliability, and coverage. Begin by clearly defining objectives and prioritizing tests based on business impact. Modularize test suites to enhance maintainability and reuse. Integrate automated tests into CI/CD pipelines for continuous testing and faster feedback. Parallelize test execution across multiple environments to reduce testing time. Keep test data separate for easier maintenance and flexibility. Monitor and analyze test results to track execution status and identify trends for optimization. Embrace shift-left testing by involving testing activities earlier in the development lifecycle to catch defects sooner.

Improving testing accuracy and speed through automation involves prioritizing critical tests, running them in parallel across various environments, and integrating testing into the development pipeline for rapid feedback. Efficient test data management, a robust test framework, and continuous monitoring are key components in achieving higher-quality software delivery.

One thing I've found helpful to increase the speed and accuracy of the testing phase of an automation is, counter-intuitive, to proceed methodically on making sure each step and case tested was done properly. In my experience running in this phase make the solution prone to error, and once an error occur it might be really time consuming to understand the where it happened, why it happened and how to fix it. Splitting the test cases in batches to group similar scenario, is an effective way to proceed methodically and ensure no re-work is needed.

First understand the problem. Then make the process as small as you can. And once you understand the process and it is as lean as you can make it, only then you start looking at automation. "Automate all the things" is a mantra of fanatics. And fanaticism should always be fought at all cost all of the time forever.

To improve testing accuracy and speed with automation, choose the right tools like Selenium, JUnit, and TestNG for robust test script development. Integrate these into your CI/CD pipeline using Jenkins or GitLab CI for early issue detection. Use parallel testing with tools like TestNG or Selenium Grid to run tests simultaneously. Focus on automating critical features using tools like Postman for API testing. Regularly update your test suites to reflect application changes, ensuring accuracy. Implement data-driven testing with tools like JMeter for a wide range of scenarios. These strategies enhance the efficiency and reliability of your testing process.