What tools are used for static testing and dynamic testing?

Static testing and dynamic testing are two fundamental approaches to software testing. Static testing involves examining the code, documentation, or other artifacts of a software application without actually executing it. This includes techniques like code reviews, inspections, and static analysis tools. On the other hand, dynamic testing requires running the software to validate its behavior and performance. This approach includes testing methods such as unit testing, integration testing, and system testing, where the software’s functionality is checked through execution. Essentially, static testing helps identify issues early in the development phase, while dynamic testing confirms that the software works as intended in real-world scenarios.

Static Testing:

It involves examining the software’s artifacts (requirements, design, and code) without executing the code. It focuses on preventing defects by reviewing and analyzing documents and code.

Tools

• SonarQube: Analyzes code for quality, vulnerabilities, and maintainability.
• Pylint: Checks for coding standard violations and errors in Python code.
• Checkstyle: Ensures Java code adheres to coding standards.
• ESLint: Identifies and fixes problems in JavaScript code.
• FindBugs: Detects bugs in Java programs.

Dynamic Testing:

It involves executing the software to validate its behavior and functionality. It focuses on finding defects by running the software in a controlled environment.

Tools

• JUnit: For unit testing in Java.
• Selenium: For automating web application testing.
• LoadRunner: For performance testing.
• JMeter: For load and performance testing.
• Appium: For mobile application testing.
• Cucumber: For behavior-driven development (BDD) testing.
• QTest: For test management and tracking.

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