Your QA team needs to test software. What tools can you rely on?

Automation Tools: Selenium: A widely used open-source tool for automating web browsers. Appium: An open-source tool for automating mobile applications on Android/iOS platforms. JUnit and TestNG: Frameworks for writing and running automated tests in Java. Performance Testing Tools: JMeter: An open-source tool for performance testing and load testing of web applications. Security Testing Tools: Burp Suite: A platform for security testing of web applications, widely used for manual and automated testing. CICD Tools: Jenkins: An open-source automation server that supports building, testing, and deploying code. Test Management Tools: Example - TestRail

These tools are expensive, they can cost like 160 bucks for 30 days. The advantage is, You don't need to setup it for hours, It takes almost 10 min to set it up with your existing Jira board. These tools can provide you Gherkin BDD features file for automation, after you create test cases. So I prefer my google spreadsheet Test suite which can work almost in similar way.

I agree on fundamental importance of test management tools in the context of software development. In our team, the use of these tools is crucial for organizing and optimizing our testing processes. In particular, we use Xray, a powerful test management tool integrated with Jira, which perfectly adapts to our TLK methodology. Our TLK methodology, which emphasizes the creation of a reusable test library and the generation of a specific knowledge base, integrates seamlessly with Xray. We are able to leverage Xray's flexibility to create and organize tests in a reusable library, thus improving the efficiency and speed of the testing cycle. This enables us to respond quickly to changes and adapt our tests to the evolving needs of the project.

For ticket management we use Jira. For test case management and execution we use Zephyr integerared with Jira. For API testing we use Postman and collections can be developed efficiently. For automation we use WebdriverIO/Cucumber/TS. WebdriverIO for browser interaction and cucumber for test case managment. For CI/CD, we use Jenkins to execute test.

Test management tools are essential for testing. You can collect all test documentation right there, moreover it gives you a possibility to link all necessary elements such as requirements, logs and so on. Test management tool can be integrated with JIRA, usually JIRA is a source of tasks, bugs and other useful things for the project and it's really helpful just because we can create many important instances by categories and blocks.

Having test automation in place for any team/organization can help them save time and money. Time can be spent on exploring the application for various edge cases and be the quality gatekeeper. That said, when we talk about test automation zeroing on the right tool/framework is paramount. There are various factors that come into play: 1) Automation is not a one size fits all kinda solution. It all depends on what your use cases are. 2) Going with the latest isn’t always the right thing, you might have to consider the resource availability. 3) Ability to integrate them the framework into a CICD pipeline. 4) Building the framework is the easy part, what comes next is maintaining the framework. 5) Up-Skilling is another very important aspect.

Backend: Java + RestAssured Python + Requests Frontend Java/Python + Selenium Javascript + Playwright Cypress Mobile Python + Appium

Quelques outils d'automatisation populaires incluent Selenium, Appium (pour les applications mobiles), Cypress, TestComplete et Robot Framework. Le choix dépend des exigences spécifiques de votre projet, du type d'application que vous testez et de vos préférences en matière de langage de programmation.

Do not pay for tools for test automation, you can use a programming language and a library/Framework. Here are some examples: For frontend: - Python and Selenium - Java ans Selenium - Javascript and Cypress - Javascript and Playwright For backend: - Java and RestAssured - Python and Requests For Mobile: - Python and Appium

Selecting tools depends upon the scope and requirements of testing of application under test. For example, API Testing - > We can easily automate APIs via Postman. UI is easy to work with, you can different code snippets for a particular API and you can manage multiple environments or requests via dynamic variable feature. Automation - > Depends upon the experience of team and requirements of project. According to my experience, WebdriverIO/Cucumber/TypeScript is a good combo Performance Testing - > JMeter, K6 and Locust are good tool for automation. Groups of request and scenarios can be developed to execute.

Performance testing is crucial for software quality assurance, ensuring an application's value in real-world scenarios. For this, tools like k6.io come into play, known for its excellence in load and performance testing. As a free open-source tool, k6.io offers flexibility through integrations and extensions, including integration with Graphana. With an active community and reliable support, it excels in modern, fast performance with minimal dependencies, making it ideal for quick evaluations. Its Go-based scripting enhances efficiency and readability for Go developers, and it supports HTTP/2 and WebSockets for handling modern protocols. However, it lacks some advanced reporting and analysis features compared to other options.

Absolutely, integrating performance tests within a testing team is crucial to ensure software quality and reliability. In our reality, we frequently use JMeter, reflecting a common choice due to its flexibility and power in conducting a wide range of load tests. An example of tests we conduct is the so-called spike tests. Spike tests are particularly important as they simulate sudden load spikes on the system, allowing us to evaluate its ability to handle peak situations without compromising performance or availability.

Performance testing is often overlooked when companies are aiming to be first to market. Depending on the type of product and tech stack we need to make an informed decision in selecting correct performance tool and most importantly the correct metrics that will help us identify performance bottle necks in our application. To select a tool we can keep in mind some parameters such as: - Testing Budget - Time Constraints - Number of Targeted Virtual Users - Skills set of QA person to name a few important ones. Generally we can rely on quite a few reliable ones such as JMeter, K6 on open source side and on the paid side we have quite a few options such as Loadrunner, NeoLoad and IDM's Rational Performance Tester.

All these tools are pretty much well known in the industry. Tools like LoadRunner, Apache JMeter, or Gatling assess software performance under various load conditions, identifying bottlenecks and ensuring scalability. They simulate real-world user interactions, enabling proactive optimization to handle expected user loads without performance degradation and providing insights for early performance issue mitigation.

Performance Testing Tools: Assess application performance under load. Popular options: Apache JMeter, Gatling, K6, LoadRunner Mobile. Choose tools based on your performance testing requirements (e.g., load, stress, scalability).

Pour choisir un outil d'automatisation, les critères sont les suivants : 1. Type d'application : Certains outils sont spécifiquement con?us pour les applications web (Selenium, Cypress), tandis que d'autres peuvent être utilisés pour des applications mobiles (Appium). 2. Langage de programmation : Assurez-vous que l'outil est compatible avec les langages que votre équipe ma?trise. Par exemple, Selenium supporte plusieurs langages, dont Java, Python, et C#. 3. Facilité d'utilisation : Certains outils sont plus conviviaux que d'autres, avec des interfaces graphiques intuitives, ce qui peut être important si votre équipe n'a pas une expertise technique approfondie. 4. Compatibilité 5. Documentation et support. 6. Co?t.

I don't have too much of experience in Security Testing but what I heard on QA conferences and from the peers solutions such as OWASP ZAP, Burp Suite, or Nessus identify vulnerabilities and fortify software against cyber threats. By conducting comprehensive security assessments, including penetration testing and vulnerability scanning, they safeguard sensitive data and ensure application resilience against potential attacks.

Security Testing Tools: Identify security vulnerabilities and potential risks. Popular options: OWASP ZAP, Burp Suite, Netsparker, Veracode Mobile. Select tools aligned with your specific security concerns and compliance requirements.

Security testing tools are software applications designed to identify vulnerabilities, assess security risks, and ensure the robustness of systems against potential attacks. Examples include Burp Suite, OWASP ZAP, Nessus, and Nmap.

All code checking tools are pretty good imo. Platforms like SonarQube, Checkmarx, or ESLint analyze code quality, detecting bugs, security vulnerabilities, and compliance issues early in the development process. By providing early feedback to developers, they improve code hygiene, maintainability, and reduce technical debt.

Buenas noches Para someter una herramientas a analizar el codigo, para mejorar la aplicacion del software,las someteres a comprobaciones ,aplicandos las validaciones de los estandares,que me puedar recomedar a usar de codificaion,como recogiendo el resultados dados por las puebas realizadas,me puede dar los beneficios esperados me puedela seguridad y el redimiento,que esperaba acorde de los lineamientos ,y los avance tecnologicos vigentes en el mercado ,para mi trabajo con los analisis de mi herramientas de tecnicas de mejoras continuas para aplicar en aseguramientos de calidad. Codeclimate. Atte yuberi quiterio 29-01-2024 11:28 P.M. EN REP. DOM.

Code Analysis Tools: Analyze code for potential bugs and quality issues. Popular options: SonarQube, Fortify, Coverity, Code Climate. Integrate code analysis into your development process for early defect detection.

Code analysis tools are software applications used to examine source code for potential issues such as bugs, security vulnerabilities, coding standards violations, and performance bottlenecks. Examples include SonarQube, ESLint, Pylint, and FindBugs.

Choose a tool like Jira which can help us manage the entire testing life cycle process from requirements management to test case creation and execution and then reporting and analysis

Consider incorporating user feedback into your development process to improve the user experience. User feedback can provide valuable insights into usability issues, feature requests, and areas for improvement that may not be apparent through traditional testing methods. Additionally, prioritize accessibility to ensure your product is usable by all individuals, including those with disabilities. Finally, stay updated on industry trends and emerging technologies to remain competitive and deliver innovative solutions to your users.

In my experience, before using any testing tools you should be able to understand a scope of testing, tools, risks and other high level things from the very beggining. Usually, it can be covered in test plan and test strategy.

I would say that evaluating tool functionality, integration capabilities, ease of use, scalability, and cost-effectiveness are crucial factors. Assessing team skillsets and training needs ensures alignment with expertise, maximizing tool effectiveness. Additionally, considering integration with existing systems optimizes tool utilization within development and deployment pipelines.

As a QA in the MedTech field, I would look for additional qualifications for a tool usage. I would be open to use any test management tool as long as it is validated for intended use and qualified to be used in Testing.