Python Testing and Debugging

A tool used to test user interfaces

A tool used to analyze code performance

A tool used to verify database connections

A tool used to find and fix errors in code

Testing individual units or components of code in isolation

Testing the entire program as a whole

Testing user interface interactions

Testing database connections

cProfile

unittest

logging

pdb

A test that ensures that code changes have not introduced new errors

A test that measures the performance of a system under heavy loads

A test that simulates user interactions with a system

A test that verifies that code is functioning as expected

A point in the code where execution is paused to allow for inspection

A point in the code where execution is terminated

A point in the code where a specific action is triggered

A point in the code where an error is expected to occur

To verify the user interface

To verify database connections

To measure how much of the code is being tested

To measure how much of the code is being used by the user

A test that introduces deliberate errors into the code to measure the effectiveness of tests

A test that simulates user interactions with a system

A test that verifies that code is functioning as expected

A test that measures the performance of a system under heavy loads

To run tests and report the results

To generate test data for use in testing

To analyze code performance during testing

To identify and fix errors in test code

The percentage of code that is executed during testing

The amount of time it takes to run a test suite

The number of test cases that are run during testing

The number of bugs that are found during testing

locust

pytest-benchmark

httperf

all of the above