Foundation - Code Coverage

Learn the concepts of Code coverage with Maven Silicon

4.9

(8 ratings)

$9 $149 94% OFF

Course Overview

Welcome to the course on Code coverage. This course focuses more on the code coverage aspects like expression, branch, toggle, FSM etc..

Course Curriculum

1 Subject

Code Coverage

1 Exercises • 6 Learning Materials

Code Coverage

Definition of Code Coverage

Video

00:06:54

FREE

Statement and branch coverage

Video

00:07:17

Feedback Form

External Link

Condition & Expression Coverage

Video

00:07:06

Toggle & FSM Coverage

Video

00:07:47

Knowledge Check-Code Coverage 1

Exercise

Feedback Form - Overall Experience

External Link

Course Instructor

Ratings & Reviews

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Kaveri

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Deeksha prabhu

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Chandana

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FAQs

1. What are the most popular code coverage tools available for developers?

Some of the most popular code coverage tools include JaCoCo (for Java), Istanbul (for JavaScript), Cobertura (for Java), and Coveralls. These tools analyze your test execution and report the percentage of your code that has been tested, helping to identify untested portions of your codebase.

2. What does code coverage mean in software testing?

Code coverage refers to a software testing metric that measures the percentage of your code that is executed when the automated tests are run. It helps determine how much of the code is tested and identifies untested areas, which can guide developers in improving test quality and ensuring greater reliability.

3. How can code coverage for beginners be simplified?

For beginners, code coverage can be simplified by starting with basic tools and understanding the key metrics, such as line coverage and branch coverage. It's essential to learn how to interpret code coverage reports and gradually increase the depth of testing, starting with unit tests before moving on to integration or system tests.

4. Can you provide an example of code coverage in practice?

A simple code coverage example would be writing unit tests for a function. If you have a function that calculates the sum of two numbers, you would write tests to cover all possible input scenarios. The code coverage tool would then report whether all lines and branches of the function were tested by the unit tests.

5. What is the exact meaning of code coverage in testing?

The meaning of code coverage is the percentage of a codebase that is tested by automated tests. It provides insights into how much of your application’s logic is being exercised during testing. Higher code coverage usually indicates more thorough testing, although it doesn't guarantee the absence of bugs.

6. What is the role of code coverage software in a development pipeline?

Code coverage software plays a crucial role in measuring and reporting how much of your source code is covered by tests. It helps developers and teams identify untested areas and focus their testing efforts. Integrating code coverage tools into a development pipeline ensures continuous monitoring of test quality and improves software reliability.

7. What are the different types of code coverage metrics?

The main types of code coverage metrics include line coverage (measuring how many lines of code are executed), branch coverage (measuring how many branches of conditional statements are tested), function coverage (how many functions are called), and path coverage (how many unique paths through the code are tested). These different types give various insights into the thoroughness of tests.