10 Code Coverage Tools for C, Java, Python, C++, C#, .Net

Code coverage testing is an important measure that quantifies the degree to which the source code of the program has been tested. There is a plethora of Code Coverage Tools in the market and selecting one for your project could be a challenge.

Following is a curated list of Top handpicked Code Coverage testing tools with popular features and latest download links

Best Code Coverage Tools for Python, Java, C++, .Net: Free and Paid

Name Link
Cobertura https://cobertura.github.io/cobertura/
Coverage.py https://coverage.readthedocs.io/
JaCoCo https://www.eclemma.org/jacoco/
OpenClover http://openclover.org/

1) Cobertura

Cobertura is one of the popular open source code coverage tools. It allows you to execute tasks via Maven and Ant, or the Cobertura CLI. You can embed with other multiple QA tools.

Features:

Download link: https://cobertura.github.io/cobertura/

2) Coverage.py

Coverage.py is another useful code coverage tool. It is one of the best test coverage tools which helps you to monitor Python programs, notes which are parts of the code have been executed.

Features:

Download link: https://coverage.readthedocs.io/

3) JaCoCo

JaCoCo is a free Java code coverage tool distributed under the Eclipse Public License. It is an open source free code coverage tools for Java, which has been made by the EclEmma.

Features:

Download link: https://www.eclemma.org/jacoco/

4) OpenClover

OpenClover tool helps you to measures code coverage for Java and Groovy and collects over 20 code metrics. It helps you to display untested areas of your application. It is one of the best test coverage tools that helps you to combine coverage and metrics to find the riskiest code.

Features:

Download link: http://openclover.org/

5) Bullseye Coverage

BullseyeCoverage is a code coverage software for C++ code coverage and C that tells you how much of your source code was tested. This tool allows you to perform unit testing, integration testing, and final release.

Features:

Download link: http://www.bullseye.com/

6) NCover

NCover is one of the advanced level code coverage tools for.Net programs and applications. It provides support for statement coverage and branch coverage. This code coverage tool is available on open source and as well as on commercial license.

Features:

Download link: http://www.ncover.com/

7) Vector Software

VectorCAST allows you to implement consistent processes for managing test activities and reporting key quality metrics. This software testing tool offers a cost-effective approach to unit testing, regression management, and code coverage analysis.

Features:

Download link: https://www.vector.com/int/en/products/products-a-z/software/vectorcast/vectorcast-analytics/

8) Devel:Cover

Devel cover offers code coverage testing metrics for Perl. With the help of this code cover tool, you can discover areas of code not exercised by your tests. It helps you to tests to create to increase coverage.

Features:

Download link: http://search.cpan.org/~pjcj/Devel-Cover-1.23/lib/Devel/Cover.pm

9) dotCover

dotCover offers by JetBrains is a .NET unit test runner and code coverage tool. It is one of the best c# code coverage tools which allows you to integrate with Jet brains rider with Visual Studio. You can also calculate reports statement-level code coverage in applications for .NET, Silverlight or .NET Core.

Features:

Download link: https://www.jetbrains.com/dotcover/

10) Visual Studio

Code coverage feature of Visual Studio helps you to determine what part of your project's code is tested by coded tests like unit tests. The tool allows you to view the previous set of results.

Features:

11) Istanbul

Istanbul is one of the best code coverage tools used for Javascript. It support of ES6/ES2015+ using babel-plugin. The tool offers all javascript instrumentation library which helps you to tracks statement, branch, and function coverage.

Features:

Download link: https://istanbul.js.org/

FAQ

❓What is Code Coverage?

Code coverage is a measure that describes the degree of which the source code of the program has been tested.

❗ Why use Code Coverage?

Here, are some prime reasons for using code coverage:

  • It helps you to measure the efficiency of test implementation.
  • It offers a quantitative measurement.
  • It defines the degree to which the source code has been tested.

⚡ Which factors should you consider while selecting Code Coverage Tool?

You should consider the following factors before selecting Code Coverage Tool

  • Compatibility.
  • The efficiency of the tool.
  • License Cost, if applicable.
  • Quality of Customer support.
  • The cost involved in training employees on the tool.
  • Hardware/Software requirements of the tool.
  • Support and Update policy of the tool vendor.
  • Reviews of the company.

 

YOU MIGHT LIKE: