What are the most in-demand automated testing skills?

Pogramming language is the base of any tool you want to use for Automation. But with having basic knowledge with programming also you can start automation and day by day you learn both automation and programming skills as well. But don’t wait for long time to learn programming to start automation. Start ASAP as soon as you have basic programming skills. Now will see about the tools —Web Automation Testing — > Selenium > Cypress > Protractor — Mobile App Automation— > Appium ( Android & iOS) > Espresso (Android only) — API Automation— > Rest Assured > Cypress > Jestjs These are the tools on demand in Market now.

The most in-demand automated testing skills include proficiency in scripting languages (e.g., Python, Java, or JavaScript), expertise in test automation frameworks (such as Selenium, Appium, or Cypress), knowledge of version control systems (e.g., Git), understanding of CI/CD pipelines, familiarity with containerization tools like Docker, experience in API testing using tools like Postman or RestAssured, and the ability to work with test management and defect tracking tools (e.g., Jira). Strong analytical and problem-solving skills, along with adaptability to evolving technologies, are also crucial. Additionally, knowledge of performance testing tools (e.g., JMeter or Gatling) will be beneficial too.

I would say majorly Java/python/Java Script is used in industry but expertise only come when someone keep progressing with one(language) else we end up with jumping to one language to other and not become expert. One thing is important is programming concepts(example- oops in java)analysis, logic. This is common across languages. So we should focus in this area irrespective of any language.

Logic Building is Important before selecting Programming Languages. Logic Building Steps: 1.Breaking down Problem 2.Drawing Flowcharts 3.Writing Pseudocode There are 3 most popular Programming Languages used for Automated Testing: 1.Python: If you are someone completely new to programming and want to learn Automated Testing, Python is most suitable as its Simple and Easy. 2.Java: If you are someone with some programming knowledge then Java is the Best. Java will help you to create Better Automation Frameworks with Design Patterns. 3.JavaScript: JavaScript can be preferred if development team is using it and they wanted to collaborate in Test Automation. Also if you are using Tools like Cypress you have No Option but JavaScript.

Understanding how to write reliable tests in the programming language of your choice is imperative. The better you are at programming, the more effective you can be at test automation. Not only are you able to write tests that are more reliable but you are able to debug and find the root cause of issues that may arise more quickly.

1. Unit Testing: - Java: JUnit, Mockito, TestNG - C#: NUnit, MSTest, xUnit.net, Moq - Python: unittest, pytest, nose - JavaScript: Mocha, Jest, Jasmine, QUnit - Ruby: RSpec, MiniTest 2. Functional Testing: - Web UI Testing: Selenium, Appium, Protractor, Cypress.io, Puppeteer - API Testing: Postman, JMeter, RestAssured, SoapUI 3. Performance and Load Testing: - Apache JMeter - LoadRunner - Gatling - Locust.io 4. Continuous Integration and Continuous Deployment (CI/CD): - Jenkins - Travis CI - CircleCI - GitLab CI/CD - GitHub Actions 5. Test Management: - TestRail - Zephyr - qTest - TestLink

Functional Testing(UI) - Selenium with BDD(Cucumber) framework, Selenium with TestNG framework, Cypress API - Postman, Rest Assured.

A comprehensive understanding of testing tools and frameworks is pivotal in the world of automation testing. amiliarity with Selenium, Appium, Cucumber, TestNG, JUnit, PyTest, Postman, JMeter, and Cypress is indispensable. Knowing their features, advantages, and limitations, and how to seamlessly integrate them with your programming stack ensures efficient and effective test automation

Knowledge of popular testing tools and frameworks, such as Selenium, Appium, JUnit, TestNG, and others, is vital. These tools simplify test automation and make it more efficient.

Skill in designing test cases and test scenarios is important. Test design includes creating effective, reusable, and maintainable test cases that cover different aspects of the application.

Applying techniques like test-driven development and behavior-driven development helps in creating reliable and maintainable test cases. Moreover, employing data-driven testing and the page object model enhances the efficiency of your automated testing efforts. Adhering to coding standards and naming conventions, along with robust documentation practices, is crucial to ensure the quality and readability of your automated test code. This skill set not only boosts your career but also adds substantial value to your organization's software development lifecycle.

Designing tests it really the core skill above all. At its simplest, it is really about making wise decisions about what is worth testing and why.

Test execution is not just about clicking the run button and letting the automated test script execute. It is also about understanding the test script flow so that you are able to identify if an error is an actual issue due to the failure of the application you are testing or a failure in the test script. Understanding of the flow also allows for capture of errors that might be missed by the test script.

The ability to execute test scripts, analyze results, and generate meaningful reports is crucial. This includes identifying and reporting defects effectively.

This involves running tests on various platforms, browsers, and devices, utilizing tools like Jenkins, Docker, BrowserStack, and Sauce Labs. To maintain accuracy, it's crucial to employ reporting tools such as Allure, Extent Reports, and Kibana. This ensures that results and issues are well-documented, and stakeholders are informed promptly. Timely identification and resolution of errors are essential for a streamlined testing process, ultimately enhancing software quality.

One key aspect of automated testing that greatly impacts its success is test automation strategy and management. Having a well-defined strategy is essential as it guides what, when, and how to automate, aligning with project objectives and constraints. Additionally, coordinating with development and testing teams is vital for seamless integration.

Understanding how to plan, implement, and manage test automation strategies is a high-demand skill. This involves deciding what to automate, when to automate, and how to maintain and scale automated test suites.

Automation technologies evolve rapidly. Test automation professionals should continuously update their skills and stay informed about the latest trends, tools, and best practices in the industry.

From an improvement perspective, I wouldn't focus on any one specific language or tool or framework. Instead the building blocks of computing in general and how to build "systems". Having the capability to visualize a system before it is built will yield dividends when it comes time to test or automate. Tools can be learned in a week. Understanding how systems are designed and how they work is a pre-requisite for not only test automation but also any other discipline within software development.

A meu ver, estratégia e planejamento. Antes de pensar em frameworks ou ferramentas, o profissional precisa saber o quê, como e quando automatizar seus testes. Tendo essa capacidade analítica, ele terá destaque em qualquer frente que atue independente da ferramenta que esteja usando.

BugBug provides a list of the skills: -Being a Good Manual Tester -Analytical thinking -Understanding of Software Development Methodologies -Analytical and Problem-solving Abilities -Understanding of Business Requirements -Automated Test Design and Execution Statistically, the most in-demand skills: -Analytical thinking -Programming experience -Functional testing skills -Test script development expertise -DevOps tools -Human or soft skills -Business analysis skills -Customer-focused mindset MuukTest list of skills: -Understanding of STLC & SDLC -The Agile Approach to Testing - Programming -Documentation -Analytical Tester Skills -Familiarity With Automation Tools -Bug Reporting -Willingness to Learn -Business Flows -Communication Skills

Understand that automation and testing are not exactly the same thing. You can use automation in testing just like you can use automation while building cars on an assembly line. It is a tool and nothing more. In my experience, if we focus on understanding the problem we are trying to solve and then define a strategy that will drive us to choose the appropriate programming language, frameworks, tools, etc. When it comes to testing in general, having a bird's-eye view is always a good idea before diving into solutions, which we often do.

In addition to proficiency in programming and familiarity several essential skills stand out: Automation Strategy: The capacity to formulate a comprehensive automation strategy for an enterprise is crucial. This involves determining the scope, objectives, and roadmap for automation initiatives that align with goals. Framework Development: Being able to define an enterprise-wide automation framework or recommend a suitable automation platform . Stakeholder Communication: Proficiency in demonstrating the value of test automation to stakeholders is vital. This skill entails effectively conveying how automation enhances testing efficiency, reduces costs, and improves quality.