What is the best approach to selecting test cases for automation in Scrum?

In Scrum, prioritize test cases for automation based on critical business functionality, frequent code changes, and complex scenarios. Start with high-priority user stories, regression tests, and integration tests. Collaborate with the development team to identify repetitive tasks prone to human error. Use a risk-based approach, focusing on areas prone to defects. Regularly reassess and update test suites to align with changing project requirements and priorities in the agile development cycle.

Pick important tasks that repeat often and are crucial for your project in Scrum, automating their tests to save time and catch problems reliably.

Selecting test cases for automation in Scrum involves prioritizing high-risk areas, frequently changing features, core business workflows, data-intensive scenarios, cross-browser testing, integration points, repeatable scenarios, critical path tests, API and unit tests, and scalability/performance scenarios. Prioritize based on regression needs, critical functionality, and efficiency gains. This approach ensures a strategic selection aligning with Scrum's iterative and adaptive nature, enhancing testing effectiveness in each sprint.

Select test cases for automation in Scrum by prioritizing critical path functionalities, stable regression tests, repetitive scenarios, and those supporting continuous integration. Consider risk levels for features and balance automation to ensure efficient testing within the iterative and fast-paced Scrum framework.

The best approach to selecting test cases for automation in Scrum involves prioritizing high-risk and frequently executed scenarios. Collaborate with the Scrum team to identify critical functionalities and user stories with a high business impact. Focus on areas prone to regression and those integral to the sprint goals. Prioritize test cases that validate complex workflows and scenarios. Conduct a risk analysis to identify areas where automation offers the most value. Consider stability, repeatability, and maintenance efforts when choosing test cases. Regularly reassess and adapt the automation suite based on evolving project requirements in the dynamic Scrum environment.

Drawing from experience, the automation pyramid recommends emphasizing a significant number of swift and cost-effective unit tests at the foundation, with a strategic reduction in the quantity of slower end-to-end tests at the summit. Based on practical insights, this approach prioritizes efficient distribution for valuable returns on investment.

Sim, a pirâmide de automação é uma abordagem valiosa para planejar e distribuir os esforços de automação de teste. Ao concentrar a maioria dos testes nas camadas inferiores, como os testes de unidade, você obtém benefícios em termos de eficiência, custo e manutenção. Isso permite uma cobertura abrangente, identificação precoce de defeitos e agilidade no desenvolvimento. A camada superior, com testes de ponta a ponta, complementa a pirâmide, garantindo a validação do sistema como um todo.

My testing method has been greatly enhanced by this pyramid model, it enables me to concentrate resources where they will have the greatest impact. It's not just a model; it's a strategic framework that aligns with best practices, fostering a culture of quality in my testing processes.

According to Lisa Crispin's book "Agile Testing: A Practical Guide for Testers and Agile Teams, Crispin recommends that teams should write more automated unit tests than any other type of test because they are fast, cheap, and easy to maintain. By writing more unit tests, teams can ensure that their code is working as expected and reduce the number of bugs that make it to higher levels of testing. Crispin also suggests that teams should write fewer automated integration tests than unit tests, but still relatively more than end-to-end test.

There are several factors to consider. The following three principles should be kept in mind when choosing which test cases to automate: -Automate time-consuming tests. -Automate repetitive tests. -Automate hard-to-do tests and risk-related tests. Execution time and testing frequency of the test cases should be considered. If the answer to both components is significant, these test cases make a strong candidate for automation. Identify the parameters on which you will evaluate candidates for automation testing. Then, teams can break the AUT into module test cases and measure that against the criteria above. Before finalizing your selection, perform an ROI measurement as the last filter, and as criteria for automation results.

I use criteria such as frequency, stability, complexity, and risk to decide which tests to automate and which to keep manual. This helps me to save time and effort, reduce maintenance, increase accuracy and reliability, and enhance test coverage and confidence. This way, I can ensure that our testing efforts are optimal and aligned with our testing strategy.

In my experience, developers can cause new bugs while repairing others. So I guarantee myself with automating the regular and boring tests :) Actually I do manual tests at first, then I automate the ones that are OK. The pages that are used by end-users frequently are more important, also there are some other fields that are used rare but prone to bugs. So I use a more flexible criteria- a little bit intuitive.

When automating test cases, prioritize high-frequency, stable, and complex tests, as well as those with high risk. This ensures efficiency, accuracy, and increased confidence in software quality.

Você resumiu bem os critérios essenciais para selecionar casos de teste para automação. A abordagem baseada em frequência, estabilidade, complexidade e risco ajuda a otimizar os benefícios da automação, concentrando-se nos cenários que oferecem maior retorno sobre o investimento e eficiência. Essa estratégia contribui para a construção de conjuntos de testes automatizados robustos e sustentáveis.

Son fundamentales para garantizar la eficiencia y calidad en el desarrollo. La selección de herramientas y enfoques correctos es clave. Las técnicas incluyen pruebas de unidad, integración, funcionales y de regresión. Las pruebas de unidad verifican módulos individuales, mientras que las de integración evalúan la interacción entre estos. Las funcionales validan la lógica del sistema y las de regresión aseguran que las modificaciones no afecten la funcionalidad existente. Además, se emplean técnicas como la generación de datos automatizada, el uso de patrones de diseño para pruebas más flexibles y frameworks que permiten la ejecución de pruebas en diferentes entornos.

Você destacou métodos abrangentes para identificar e priorizar casos de teste para automação. A análise de casos de teste, o design de caso de teste e a otimização são abordagens valiosas, e as ferramentas mencionadas desempenham papéis cruciais nesse processo, desde o desenvolvimento até a execução e gerenciamento de testes automatizados. A combinação dessas técnicas e recursos contribui para uma estratégia de automação eficaz e eficiente.

The challenges emerge from the evolving nature of Scrum projects, where requirements can change rapidly, making it crucial to continuously reassess and update automated test suites. The need for collaboration between developers, testers, and product owners is paramount to ensure that automated tests align with the evolving user stories and acceptance criteria. Addressing these challenges requires a flexible and adaptive mindset, leveraging automation selectively and judiciously to enhance efficiency and maintain testing agility within the Scrum framework.

Nos enfrentamos a varios desafíos, como la selección inadecuada de casos de prueba para automatizar, lo que lleva a un retorno de inversión bajo. Mantener los scripts de prueba requiere esfuerzo continuo debido a cambios en el software. La dependencia excesiva de la automatización puede descuidar áreas no automatizadas, generando fallos. Además, la creación de un entorno de prueba realista y la adaptación a cambios tecnológicos representan desafíos continuos. La coordinación entre equipos y la falta de habilidades especializadas también pueden entorpecer la automatización efectiva. Estrategias de selección inteligente de pruebas, mantenimiento continuo y equilibrio con pruebas manuales abordan estos desafíos para una implementación exitosa.

In test automation, define the scope to avoid over- or under-automation. Improve skills, use suitable frameworks/tools, and maintain updated automation. Regularly refactor, optimize code, and follow best practices like code reviews. Collaborate and share knowledge for a continuous learning mindset.

A melhor abordagem seria priorizar a automação de casos de teste que envolvam funcionalidades críticas, frequentemente alteradas ou com alto risco. Começando pelos testes de aceitação do usuário para garantir a validação completa do produto. Além disso, podemos considerar a estabilidade dos requisitos, escolhendo casos que não estão sujeitos a mudanças frequentes. Mantendo uma comunicação constante com a equipe de desenvolvimento para identificar pontos ideais para automação e ajuste conforme necessário ao longo das iterações do Scrum.

-Test cases that require multiple data sets: they can be time-consuming and error-prone when performed manually. Automating them can save a lot of time and effort. -Tests that tend to cause human error: they are often repetitive and can be automated to reduce the risk of human error. -Frequently used functionality that introduces high-risk conditions: automating these test cases can help detect bugs early on and ensure the stability of your software build. -Exploratory and ad-hoc tests: these tests are the least feasible for automation as they don’t have concrete criteria for testing software to evaluate.

I’ll speak about which test cases need to be performed manually. Anything other than that could be automated using convenient tool as per organizational needs. ↪️Subjective Validation ↪️New Functionalities ↪️Strategic Development ↪️User Experience ↪️Complex Functionality ↪️Quality Control ↪️Low return on investment ↪️Installation and setup testing. As per my knowledge UAT is performed 95-97% manually as it’s testing carried out from user perspective.Testing such as UX, usability, exploratory, etc., requires human factors because an automatic tool can't mimic user behavior. Automated testing doesn't work for security testing either. Automated vulnerability scanning requires a subsequent manual check because it provides many false positives.

Test cases that are complex and hard to perform manually should also be automated to reduce human errors and increase accuracy. Security, load, and performance tests, for instance, are excellent candidates for automation.