Types of Software Testing

Unit Testing: Testing individual units of code, such as functions or methods, to ensure they work as expected.
Integration Testing: Testing how different units of code work together to ensure they integrate correctly.
System Testing: Testing the entire system to ensure it meets the requirements and works as expected.
Acceptance Testing: Testing to ensure the system meets the acceptance criteria and is ready for release.

Black Box Testing: Testing without knowledge of the internal workings of the system, focusing on inputs and outputs.
White Box Testing: Testing with knowledge of the internal workings of the system, focusing on the code and algorithms.
Gray Box Testing: A combination of black box and white box testing, with some knowledge of the internal workings.

Equivalence Partitioning: Dividing input data into partitions and testing each partition at least once.
Boundary Value Analysis: Testing the boundaries of input data, such as minimum and maximum values.
State Transition Testing: Testing the different states of a system and how it transitions between them.
Decision Table-Based Testing: Testing based on the logic of the system, using decision tables to identify test cases.

Test Plan: A document outlining the testing approach, scope, and schedule.
Test Case: A set of steps and expected results to test a specific aspect of the system.
Test Script: A set of instructions to execute a test case.
Test Data: The data used to test the system, including inputs and expected outputs.

Unit Testing Frameworks: Tools such as JUnit, NUnit, and PyUnit that provide a structure for writing unit tests.
Test Automation Frameworks: Tools such as Selenium, Appium, and TestComplete that provide a structure for automating tests.
CI/CD Pipelines: Automated pipelines that integrate testing into the development process.

Test Data Management: Managing and maintaining test data to ensure it remains relevant and accurate.
Test Environment Management: Managing and maintaining test environments to ensure they are stable and consistent.
Defect Tracking: Tracking and managing defects found during testing to ensure they are resolved.
Test Automation Maintenance: Maintaining and updating automated tests to ensure they remain relevant and accurate.

Unit Testing involves testing individual units of code, such as functions or methods, to ensure they work as expected.
Integration Testing involves testing how different units of code work together to ensure they integrate correctly.
System Testing involves testing the entire system to ensure it meets the requirements and works as expected.
Acceptance Testing involves testing to ensure the system meets the acceptance criteria and is ready for release.

Black Box Testing involves testing without knowledge of the internal workings of the system, focusing on inputs and outputs.
White Box Testing involves testing with knowledge of the internal workings of the system, focusing on the code and algorithms.
Gray Box Testing involves a combination of black box and white box testing, with some knowledge of the internal workings.

Equivalence Partitioning involves dividing input data into partitions and testing each partition at least once.
Boundary Value Analysis involves testing the boundaries of input data, such as minimum and maximum values.
State Transition Testing involves testing the different states of a system and how it transitions between them.
Decision Table-Based Testing involves testing based on the logic of the system, using decision tables to identify test cases.

A Test Plan is a document outlining the testing approach, scope, and schedule.
A Test Case is a set of steps and expected results to test a specific aspect of the system.
A Test Script is a set of instructions to execute a test case.
Test Data is the data used to test the system, including inputs and expected outputs.

Unit Testing Frameworks, such as JUnit, NUnit, and PyUnit, provide a structure for writing unit tests.
Test Automation Frameworks, such as Selenium, Appium, and TestComplete, provide a structure for automating tests.
CI/CD Pipelines are automated pipelines that integrate testing into the development process.

Test Data Management involves managing and maintaining test data to ensure it remains relevant and accurate.
Test Environment Management involves managing and maintaining test environments to ensure they are stable and consistent.
Defect Tracking involves tracking and managing defects found during testing to ensure they are resolved.
Test Automation Maintenance involves maintaining and updating automated tests to ensure they remain relevant and accurate.